CN107480054B - Call chain data processing method and device and computer readable storage medium - Google Patents

Call chain data processing method and device and computer readable storage medium Download PDF

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Publication number
CN107480054B
CN107480054B CN201710613397.5A CN201710613397A CN107480054B CN 107480054 B CN107480054 B CN 107480054B CN 201710613397 A CN201710613397 A CN 201710613397A CN 107480054 B CN107480054 B CN 107480054B
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information
call chain
chain data
data
storage
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CN107480054A (en
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倪秉炬
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Shenzhen Jiahe Future Digital Information Service Co.,Ltd.
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Shenzhen Zhongke Xigu Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/36Preventing errors by testing or debugging software
    • G06F11/362Software debugging
    • G06F11/3636Software debugging by tracing the execution of the program
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/36Preventing errors by testing or debugging software
    • G06F11/362Software debugging
    • G06F11/366Software debugging using diagnostics
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/04Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/24Accounting or billing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2201/00Indexing scheme relating to error detection, to error correction, and to monitoring
    • G06F2201/865Monitoring of software

Abstract

The invention discloses a call chain data processing method, a device and a computer readable storage medium, wherein the method comprises the following steps: acquiring call chain data, wherein the call chain data at least comprises domain name information and path information; writing the call chain data into a basic information routing table; matching the system name corresponding to the domain name information, and determining a basic information sub-table corresponding to the domain name information; and determining the type of the call chain, and adopting a corresponding storage mode according to the type of the call chain. The high-efficiency and high-accuracy call chain data processing scheme is realized, on one hand, the data storage adopts non-plaintext storage, the data security is improved, on the other hand, the storage mode is optimized, the waste of the storage space is avoided, meanwhile, the security of the data table is further improved, the call chain information of the application program is prevented from being leaked, and the user experience is improved.

Description

Call chain data processing method and device and computer readable storage medium
Technical Field
The present invention relates to the field of mobile communications, and in particular, to a call chain data processing method, device, and computer-readable storage medium.
Background
In the prior art, a plurality of server systems are involved behind the operation of a user in a mobile terminal device. Taking a smart phone as an example, in order to completely track a call situation of an operation between systems, each phone manufacturer may develop a call chain based on an open-source call chain scheme. However, in most open source schemes, the data storage of the call chain is relatively rigid, the data space required to be occupied is large, and the data security is not high.
Therefore, the problems of the prior art are as follows:
the data storage adopts plaintext storage, so that the information such as the system domain name and the like accessed in the calling process can be directly seen in the data table, and the safety of the data is not high.
Due to the fact that plaintext storage is adopted, the occupied space of data storage is large, and waste of storage space is caused.
Once the content of the data table is leaked, the call chain information of the mobile phone application is leaked, so that the application development details of mobile phone manufacturers are leaked.
In summary, in the prior art, data storage adopts plaintext storage, information such as a system domain name accessed in a calling process can be directly seen in a data table, and the security of data is not high, on the other hand, due to the adoption of plaintext storage, the occupied space of the data storage is large, which causes waste of storage space, and once the content of the data table is leaked, call chain information of a mobile phone application is leaked, which causes disclosure of application development details of a mobile phone manufacturer.
Disclosure of Invention
In order to solve the technical defects that in the prior art, data storage adopts plaintext storage, information such as a system domain name and the like accessed in a calling process can be directly seen in a data table, and the safety of data is not high, on the other hand, due to the fact that the plaintext storage is adopted, the occupied space of the data storage is large, storage space is wasted, and once the content of the data table is leaked, calling chain information of mobile phone application is leaked, and application development details of mobile phone manufacturers are leaked, the invention provides a calling chain data processing method, which comprises the following steps:
acquiring call chain data, wherein the call chain data at least comprises domain name information and path information;
writing the call chain data into a basic information routing table;
matching the system name corresponding to the domain name information, and determining a basic information sub-table corresponding to the domain name information;
and determining the type of the call chain, and adopting a corresponding storage mode according to the type of the call chain.
Optionally, the acquiring call chain data, where the call chain data at least includes domain name information and path information, includes:
acquiring server system information, and determining domain name information and path information in the system information;
determining corresponding name information according to the domain name information;
writing ID information, the name information, the domain name information and the path information into the basic information table;
and randomly scattering the basic information table, and storing the scattered basic information table in separate tables.
Optionally, the writing the call chain data into the basic information routing table includes:
determining the link relation between the basic information routing table and a database;
determining a corresponding storage position according to the ID information and the basic information routing table;
and determining the storage data corresponding to the ID information according to the storage position and the link relation.
Optionally, the determining the type of the call chain and adopting a corresponding storage mode according to the type of the call chain includes:
analyzing the stored call chain data;
analyzing sequential types of the call chain data, wherein the sequential types comprise sequential types and non-sequential types.
Optionally, the determining the type of the call chain and using the corresponding storage mode according to the type of the call chain further includes:
extracting link characteristics of the call chain data;
determining the sequence type of the call chain data according to the sequence of the link characteristics;
and if the call chain data is in a sequence type, modifying the storage mode of the call chain data into a bit storage mode.
The invention also proposes a call chain data processing device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program realizing, when executed by the processor:
acquiring call chain data, wherein the call chain data at least comprises domain name information and path information;
writing the call chain data into a basic information routing table;
matching the system name corresponding to the domain name information, and determining a basic information sublist corresponding to the domain name information;
and determining the type of the calling chain, and adopting a corresponding storage mode according to the type of the calling chain.
Optionally, the computer program further implements, when executed by the processor:
acquiring server system information, and determining domain name information and path information in the system information;
determining corresponding name information according to the domain name information;
writing ID information, the name information, the domain name information and the path information into the basic information table;
and randomly scattering the basic information table, and storing the scattered basic information table in separate tables.
Optionally, the computer program further implements, when executed by the processor:
determining the link relation between the basic information routing table and a database;
determining a corresponding storage position according to the ID information and the basic information routing table;
and determining the storage data corresponding to the ID information according to the storage position and the link relation.
Optionally, the computer program further implements, when executed by the processor:
analyzing the stored call chain data;
analyzing sequential types of the call chain data, wherein the sequential types comprise a sequential type and a non-sequential type;
extracting link characteristics of the call chain data;
determining the sequence type of the call chain data according to the sequence of the link characteristics;
and if the call chain data is in a sequence type, modifying the storage mode of the call chain data into a bit storage mode.
The present invention also proposes a computer readable storage medium having stored thereon a call chain data processing program which, when executed by a processor, implements the steps of the call chain data processing method as described in any one of the above.
By implementing the call chain data processing method, the call chain data processing equipment and the computer readable storage medium, call chain data are collected, wherein the call chain data at least comprise domain name information and path information; writing the call chain data into a basic information routing table; matching the system name corresponding to the domain name information, and determining a basic information sub-table corresponding to the domain name information; and determining the type of the call chain, and adopting a corresponding storage mode according to the type of the call chain. The high-efficiency and high-accuracy call chain data processing scheme is realized, on one hand, the data storage adopts non-plaintext storage, the data security is improved, on the other hand, the storage mode is optimized, the waste of the storage space is avoided, meanwhile, the security of the data table is further improved, the call chain information of the application program is prevented from being leaked, and the user experience is improved.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a schematic diagram of a hardware structure of a mobile terminal according to the present invention;
fig. 2 is a communication network system architecture diagram provided by an embodiment of the present invention;
FIG. 3 is a flow chart of a first embodiment of a call chain data processing method of the present invention;
FIG. 4 is a flow chart of a second embodiment of a call chain data processing method of the present invention;
FIG. 5 is a flow chart of a third embodiment of a call chain data processing method of the present invention;
FIG. 6 is a flow chart of a fourth embodiment of a call chain data processing method of the present invention;
fig. 7 is a flowchart of a fifth embodiment of the call chain data processing method of the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.
The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.
Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the mobile terminal in detail with reference to fig. 1:
the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).
WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.
The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.
The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.
The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.
The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.
Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.
The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.
The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.
The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.
Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.
In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based is described below.
Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present invention, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.
Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.
The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.
The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).
The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.
Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.
Based on the above mobile terminal hardware structure and communication network system, the present invention provides various embodiments of the method.
Example one
A call chain data processing method, the method comprising:
s1, collecting call chain data, wherein the call chain data at least comprises domain name information and path information;
s2, writing the call chain data into the basic information routing table;
s3, matching the system name corresponding to the domain name information, and determining a basic information sub-table corresponding to the domain name information;
and S4, determining the type of the call chain, and adopting a corresponding storage mode according to the type of the call chain.
In order to solve the technical defects that in the prior art, data storage adopts plaintext storage, information such as a system domain name accessed in a calling process can be directly seen in a data table, and the security of data is not high, and on the other hand, due to the adoption of plaintext storage, the occupied space of the data storage is large, so that the waste of storage space is caused, and once the content of the data table is leaked, the calling chain information of mobile phone application is leaked, so that the application development details of mobile phone manufacturers are leaked, the embodiment provides the calling chain data processing method.
Firstly, acquiring call chain data, wherein the call chain data at least comprises domain name information and path information, and then writing the call chain data into a basic information routing table.
Specifically, when the call chain data is collected to the storage system, the server system information of each step is automatically collected to a call chain basic information table, where the basic information table includes basic information, that is, a domain name of the server system, and a specific access path.
In this embodiment, the system name corresponding to the domain name information is matched, and the basic information sublist corresponding to the domain name information is determined.
As described in the above example, the storage system automatically finds the server system name matching the domain name, for example 163.com corresponding to the network address, according to the domain name, and fills in the basic information table.
Further, each piece of basic information has its unique ID, system name, domain name, and access path. The information is scattered randomly by the storage system and stored in a sub-table. That is, the contents of the basic information table are stored in a plurality of tables, such as basic information table 1, basic information table 2, basic information table 3, and the like.
Further, to further improve data security, the tables are stored in different database servers. The output routing table, that is, the basic information routing table in this embodiment, is connected to a plurality of databases through one data routing table. The basic information routing table stores the specific storage position of each ID, and specific data can be found through the routing table.
And finally, determining the type of the call chain, and adopting a corresponding storage mode according to the type of the call chain.
Similarly, as described in the above example, the storage system may automatically initiate a machine learning mode after the data has been accumulated for a period of time, and analyze all call chain data. The main analysis aim is to find the sequential call chains therein, i.e. the links of this type of call chains are sequential and there is an inherent precedence. Once a sequential call chain is identified, the storage system automatically converts all call chain storage data into a sequential storage mode. Meanwhile, the storage system records the calling chains, and subsequently, the calling chains of the same kind are directly stored in a sequential mode when entering the storage system.
Furthermore, the call chain storage system intelligently analyzes the stored data of the call chain, analyzes the data rule through machine learning, and automatically determines a more efficient storage scheme.
Furthermore, data storage adopts non-plaintext storage, and data safety is guaranteed.
Furthermore, system information of each server in the calling chain process is automatically collected to form a calling chain basic information table, table data are scattered randomly and stored in a plurality of tables, and data security is further improved.
Further, the system automatically finds the name of its server system according to the domain name and fills in the basic information table.
Furthermore, the sequential call chain adopts a storage mode of bit bits in the character string, and the storage space is saved to the maximum extent.
Furthermore, the non-sequential call chain adopts a variable-length numerical value storage mode, so that the storage space is saved to the maximum extent.
The method has the advantages that the call chain data are collected, wherein the call chain data at least comprise domain name information and path information; writing the call chain data into a basic information routing table; matching the system name corresponding to the domain name information, and determining a basic information sub-table corresponding to the domain name information; and determining the type of the call chain, and adopting a corresponding storage mode according to the type of the call chain. The high-efficiency and high-accuracy call chain data processing scheme is realized, on one hand, the data storage adopts non-plaintext storage, the data security is improved, on the other hand, the storage mode is optimized, the waste of the storage space is avoided, meanwhile, the security of the data table is further improved, the call chain information of the application program is prevented from being leaked, and the user experience is improved.
Example two
Based on the above embodiment, the collecting call chain data, where the call chain data at least includes domain name information and path information includes:
s11, acquiring server system information, and determining domain name information and path information in the system information;
s12, determining corresponding name information according to the domain name information;
s13, writing ID information, the name information, the domain name information and the path information into the basic information table;
and S14, randomly scattering the basic information table, and storing the scattered basic information table in a sub-table mode.
In this embodiment, first, server system information is obtained, domain name information and path information in the system information are determined, then, corresponding name information is determined according to the domain name information, and finally, ID information, the name information, the domain name information, and the path information are written into the basic information table.
Specifically, when the call chain data is collected to the storage system, the server system information of each step is automatically collected to a call chain basic information table, where the basic information table includes basic information, that is, a domain name of the server system, and a specific access path.
In this embodiment, the system name corresponding to the domain name information is matched, and the basic information sublist corresponding to the domain name information is determined.
As described in the above example, the storage system automatically finds the server system name matching the domain name, for example 163.com corresponding to the network address, according to the domain name, and fills in the basic information table.
Further, each piece of basic information has its unique ID, system name, domain name, and access path. The information is scattered randomly by the storage system and stored in a sub-table. That is, the contents of the basic information table are stored in a plurality of tables, such as basic information table 1, basic information table 2, basic information table 3, and the like.
Further, to further improve data security, the tables are stored in different database servers. The output routing table, that is, the basic information routing table in this embodiment, is connected to a plurality of databases through one data routing table. The basic information routing table stores the specific storage position of each ID, and specific data can be found through the routing table.
The method and the device have the advantages that the domain name information and the path information in the system information are determined by obtaining the server system information, then the corresponding name information is determined according to the domain name information, finally, the ID information, the name information, the domain name information and the path information are written into the basic information table, and further, in order to improve storage safety, the basic information table is randomly scattered, and the scattered basic information table is stored in a sub-table mode. The data base and the environment base are provided for the follow-up realization of a high-efficiency and high-accuracy call chain data processing scheme, on one hand, the data storage adopts non-plaintext storage to improve the safety of data, on the other hand, the storage mode is optimized, the waste of storage space is avoided, meanwhile, the safety of the data table is further improved, the call chain information of the application program is prevented from being leaked, and the user experience is improved.
EXAMPLE III
Based on the above embodiment, the writing the call chain data into the basic information routing table includes:
s21, determining the link relation between the basic information routing table and the database;
s22, determining the corresponding storage position according to the ID information and the basic information routing table;
and S23, determining the storage data corresponding to the ID information according to the storage position and the link relation.
In this embodiment, first, a link relationship between the basic information routing table and the database is determined, then, a storage location corresponding to the basic information routing table is determined according to the ID information and the basic information routing table, and finally, storage data corresponding to the ID information is determined according to the storage location and the link relationship.
Specifically, as described in the above example, in the early storage stage of the call chain, the storage formats are all in a non-sequential call chain storage manner. Namely a call order list, a call time stamp list.
For example, the data having ID 1 in the basic information table is system name network exchange, domain name 163.com, access path getNews;
the data with the ID of 2 in the basic information table are system name Taobao, domain name taobao.com, and access path getGoods;
the data having an ID of 3 in the basic information table includes a system name pan, a domain name taobao.
The user browses news in the internet roll at first, then clicks an advertisement in the news, jumps to the treasure to see a specific commodity, and purchases the commodity.
Then the stored data for the call chain, i.e. the call order list: 1,2,3, call timestamp list:
1496538944123、10232、30323。
the first data of the time stamp list is the starting time stamp of the call chain, namely the time of the user for browsing the news, and the later data is the time difference of the starting time stamp, namely the difference value between the second action and the first time, and the storage space can be reduced to the maximum extent by storing.
Furthermore, in the character string stored in the calling book order list field, the numerical value is stored in a mode of adding a comma separator to the character string, the numerical value with a variable length can be stored, when the ID length is shorter, the consumed storage space is less, and when the ID length is longer, the consumed storage space is longer.
The embodiment has the advantages that the link relationship between the basic information routing table and the database is determined, then the storage position corresponding to the basic information routing table is determined according to the ID information and the basic information routing table, and finally the storage data corresponding to the ID information is determined according to the storage position and the link relationship. The data base and the environment base are provided for the follow-up realization of a high-efficiency and high-accuracy call chain data processing scheme, on one hand, the data storage adopts non-plaintext storage to improve the safety of data, on the other hand, the storage mode is optimized, the waste of storage space is avoided, meanwhile, the safety of the data table is further improved, the call chain information of the application program is prevented from being leaked, and the user experience is improved.
Example four
Based on the above embodiment, the determining the type of the call chain and adopting the corresponding storage mode according to the type of the call chain includes:
s41, analyzing the stored call chain data;
s42, analyzing the sequence type of the call chain data, wherein the sequence type comprises a sequence type and a non-sequence type.
In this embodiment, the stored call chain data is first parsed, and then the order type of the call chain data is analyzed, wherein the order type includes an order type and a non-order type.
Specifically, as described in the above example, the storage system may automatically start the machine learning mode after the data is accumulated for a period of time, and analyze all call chain data.
The main analysis of the above operation is to find the sequential call chains therein, i.e. the links of this type of call chains are sequential and there is an inherent precedence.
For example, when a user uses a shopping application, the user first browses or searches for goods, then adds the goods to a shopping cart or directly settles the settlement, and then selects a receiving address to complete the settlement.
For such a sequential call chain, the memory system will automatically modify the storage mode to the bit storage mode. I.e. the complete link of such call chain is first written into a sequential complete link table. Still taking shopping as an example, the access route ID of the browsed goods is 1, the searched goods is 2, the joining shopping cart is 3, the settlement is 4, the receiving address is 5, and the settlement is 6. Then the complete link table is 1,2,3,4,5, 6. At this time, one link is to browse the goods, add the shopping cart, settle accounts, and complete the settlement. The stored calling sequence list field content is the corresponding bit string '101101', and during specific storage, the bit data is converted into the string. With this storage mode, the storage space is minimal under sequential call chains.
The method and the device have the advantages that the stored call chain data are analyzed, and then the sequence type of the call chain data is analyzed, wherein the sequence type comprises a sequence type and a non-sequence type. The sequential call chain can be intelligently analyzed, the storage mode of the sequential call chain is modified, a data basis and an environment basis are provided for a subsequent call chain data processing scheme with high efficiency and high accuracy, and meanwhile, a storage scheme with the highest efficiency and the highest space saving is realized; and by means of scattering the basic data table and non-plaintext storage, data security is greatly improved.
EXAMPLE five
Based on the above embodiment, the determining the type of the call chain and adopting the corresponding storage mode according to the type of the call chain further includes:
s43, extracting the link characteristics of the call chain data;
s44, determining the sequence type of the call chain data according to the sequence of the link characteristics;
and S45, if the call chain data is of a sequence type, modifying the storage mode of the call chain data into a bit storage mode.
In this embodiment, first, a link feature of the call chain data is extracted, then, a sequence type of the call chain data is determined according to a sequence of the link feature, and finally, if the call chain data is a sequence type, a storage mode of the call chain data is modified to a bit storage mode.
Similarly, as described in the above example, the storage system may automatically initiate a machine learning mode after the data has been accumulated for a period of time, and analyze all call chain data.
The main analysis of the above operation is to find the sequential call chains therein, i.e. the links of this type of call chains are sequential and there is an inherent precedence.
For example, when a user uses a shopping application, the user first browses or searches for goods, then adds the goods to a shopping cart or directly settles the settlement, and then selects a receiving address to complete the settlement.
For such a sequential call chain, the memory system will automatically modify the storage mode to the bit storage mode. I.e. the complete link of such call chain is first written into a sequential complete link table. Still taking shopping as an example, the access route ID of the browsed goods is 1, the searched goods is 2, the joining shopping cart is 3, the settlement is 4, the receiving address is 5, and the settlement is 6. Then the complete link table is 1,2,3,4,5, 6. At this time, one link is to browse the goods, add the shopping cart, settle accounts, and complete the settlement. The stored calling sequence list field content is the corresponding bit string '101101', and during specific storage, the bit data is converted into the string. With this storage mode, the storage space is minimal under sequential call chains.
Further, in this embodiment, if a sequential call chain is identified, the storage system will automatically convert all the call chain storage data into a sequential storage manner.
Furthermore, the storage system records the calling chains, and subsequently, the calling chains of the same type are directly stored in a sequential mode when entering the storage system.
The method and the device have the advantages that the link characteristics of the call chain data are extracted, the sequence type of the call chain data is determined according to the sequence of the link characteristics, and finally, if the call chain data is the sequence type, the storage mode of the call chain data is modified into the bit storage mode. The sequential call chain can be intelligently analyzed, the storage mode of the sequential call chain is modified, and the most efficient and space-saving storage scheme is realized; and by means of scattering the basic data table and non-plaintext storage, data security is greatly improved.
EXAMPLE six
Based on the foregoing embodiments, the present invention further provides a call chain data processing apparatus, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the computer program, when executed by the processor, implements:
acquiring call chain data, wherein the call chain data at least comprises domain name information and path information;
writing the call chain data into a basic information routing table;
matching the system name corresponding to the domain name information, and determining a basic information sublist corresponding to the domain name information;
and determining the type of the calling chain, and adopting a corresponding storage mode according to the type of the calling chain.
In order to solve the technical defects that in the prior art, data storage adopts plaintext storage, information such as a system domain name accessed in a calling process can be directly seen in a data table, and the security of data is not high, and on the other hand, due to the adoption of plaintext storage, the occupied space of the data storage is large, so that the waste of storage space is caused, and once the content of the data table is leaked, the calling chain information of mobile phone application is leaked, so that the application development details of mobile phone manufacturers are leaked, the embodiment provides the calling chain data processing method.
Firstly, acquiring call chain data, wherein the call chain data at least comprises domain name information and path information, and then writing the call chain data into a basic information routing table.
Specifically, when the call chain data is collected to the storage system, the server system information of each step is automatically collected to a call chain basic information table, where the basic information table includes basic information, that is, a domain name of the server system, and a specific access path.
In this embodiment, the system name corresponding to the domain name information is matched, and the basic information sublist corresponding to the domain name information is determined.
As described in the above example, the storage system automatically finds the server system name matching the domain name, for example 163.com corresponding to the network address, according to the domain name, and fills in the basic information table.
Further, each piece of basic information has its unique ID, system name, domain name, and access path. The information is scattered randomly by the storage system and stored in a sub-table. That is, the contents of the basic information table are stored in a plurality of tables, such as basic information table 1, basic information table 2, basic information table 3, and the like.
Further, to further improve data security, the tables are stored in different database servers. The output routing table, that is, the basic information routing table in this embodiment, is connected to a plurality of databases through one data routing table. The basic information routing table stores the specific storage position of each ID, and specific data can be found through the routing table.
And finally, determining the type of the call chain, and adopting a corresponding storage mode according to the type of the call chain.
Similarly, as described in the above example, the storage system may automatically initiate a machine learning mode after the data has been accumulated for a period of time, and analyze all call chain data. The main analysis aim is to find the sequential call chains therein, i.e. the links of this type of call chains are sequential and there is an inherent precedence. Once a sequential call chain is identified, the storage system automatically converts all call chain storage data into a sequential storage mode. Meanwhile, the storage system records the calling chains, and subsequently, the calling chains of the same kind are directly stored in a sequential mode when entering the storage system.
The method has the advantages that the call chain data are collected, wherein the call chain data at least comprise domain name information and path information; writing the call chain data into a basic information routing table; matching the system name corresponding to the domain name information, and determining a basic information sub-table corresponding to the domain name information; and determining the type of the call chain, and adopting a corresponding storage mode according to the type of the call chain. The high-efficiency and high-accuracy call chain data processing scheme is realized, on one hand, the data storage adopts non-plaintext storage, the data security is improved, on the other hand, the storage mode is optimized, the waste of the storage space is avoided, meanwhile, the security of the data table is further improved, the call chain information of the application program is prevented from being leaked, and the user experience is improved.
EXAMPLE seven
Based on the above embodiments, the computer program further realizes when executed by the processor:
acquiring server system information, and determining domain name information and path information in the system information;
determining corresponding name information according to the domain name information;
writing ID information, the name information, the domain name information and the path information into the basic information table;
and randomly scattering the basic information table, and storing the scattered basic information table in separate tables.
In this embodiment, first, server system information is obtained, domain name information and path information in the system information are determined, then, corresponding name information is determined according to the domain name information, and finally, ID information, the name information, the domain name information, and the path information are written into the basic information table.
Specifically, when the call chain data is collected to the storage system, the server system information of each step is automatically collected to a call chain basic information table, where the basic information table includes basic information, that is, a domain name of the server system, and a specific access path.
In this embodiment, the system name corresponding to the domain name information is matched, and the basic information sublist corresponding to the domain name information is determined.
As described in the above example, the storage system automatically finds the server system name matching the domain name, for example 163.com corresponding to the network address, according to the domain name, and fills in the basic information table.
Further, each piece of basic information has its unique ID, system name, domain name, and access path. The information is scattered randomly by the storage system and stored in a sub-table. That is, the contents of the basic information table are stored in a plurality of tables, such as basic information table 1, basic information table 2, basic information table 3, and the like.
Further, to further improve data security, the tables are stored in different database servers. The output routing table, that is, the basic information routing table in this embodiment, is connected to a plurality of databases through one data routing table. The basic information routing table stores the specific storage position of each ID, and specific data can be found through the routing table.
The method and the device have the advantages that the domain name information and the path information in the system information are determined by obtaining the server system information, then the corresponding name information is determined according to the domain name information, finally, the ID information, the name information, the domain name information and the path information are written into the basic information table, and further, in order to improve storage safety, the basic information table is randomly scattered, and the scattered basic information table is stored in a sub-table mode. The data base and the environment base are provided for the follow-up realization of a high-efficiency and high-accuracy call chain data processing scheme, on one hand, the data storage adopts non-plaintext storage to improve the safety of data, on the other hand, the storage mode is optimized, the waste of storage space is avoided, meanwhile, the safety of the data table is further improved, the call chain information of the application program is prevented from being leaked, and the user experience is improved.
Example eight
Based on the above embodiments, the computer program further realizes when executed by the processor:
determining the link relation between the basic information routing table and a database;
determining a corresponding storage position according to the ID information and the basic information routing table;
and determining the storage data corresponding to the ID information according to the storage position and the link relation.
In this embodiment, first, a link relationship between the basic information routing table and the database is determined, then, a storage location corresponding to the basic information routing table is determined according to the ID information and the basic information routing table, and finally, storage data corresponding to the ID information is determined according to the storage location and the link relationship.
Specifically, as described in the above example, in the early storage stage of the call chain, the storage formats are all in a non-sequential call chain storage manner. Namely a call order list, a call time stamp list.
For example, the data having ID 1 in the basic information table is system name network exchange, domain name 163.com, access path getNews;
the data with the ID of 2 in the basic information table are system name Taobao, domain name taobao.com, and access path getGoods;
the data having an ID of 3 in the basic information table includes a system name pan, a domain name taobao.
The user browses news in the internet roll at first, then clicks an advertisement in the news, jumps to the treasure to see a specific commodity, and purchases the commodity.
Then the stored data for the call chain, i.e. the call order list: 1,2,3, call timestamp list:
1496538944123、10232、30323。
the first data of the time stamp list is the starting time stamp of the call chain, namely the time of the user for browsing the news, and the later data is the time difference of the starting time stamp, namely the difference value between the second action and the first time, and the storage space can be reduced to the maximum extent by storing.
Furthermore, in the character string stored in the calling book order list field, the numerical value is stored in a mode of adding a comma separator to the character string, the numerical value with a variable length can be stored, when the ID length is shorter, the consumed storage space is less, and when the ID length is longer, the consumed storage space is longer.
The embodiment has the advantages that the link relationship between the basic information routing table and the database is determined, then the storage position corresponding to the basic information routing table is determined according to the ID information and the basic information routing table, and finally the storage data corresponding to the ID information is determined according to the storage position and the link relationship. The data base and the environment base are provided for the follow-up realization of a high-efficiency and high-accuracy call chain data processing scheme, on one hand, the data storage adopts non-plaintext storage to improve the safety of data, on the other hand, the storage mode is optimized, the waste of storage space is avoided, meanwhile, the safety of the data table is further improved, the call chain information of the application program is prevented from being leaked, and the user experience is improved.
Example nine
Based on the above embodiments, the computer program further realizes when executed by the processor:
analyzing the stored call chain data;
analyzing sequential types of the call chain data, wherein the sequential types comprise a sequential type and a non-sequential type;
extracting link characteristics of the call chain data;
determining the sequence type of the call chain data according to the sequence of the link characteristics;
and if the call chain data is in a sequence type, modifying the storage mode of the call chain data into a bit storage mode.
In this embodiment, the stored call chain data is first parsed, and then the order type of the call chain data is analyzed, wherein the order type includes an order type and a non-order type.
Specifically, as described in the above example, the storage system may automatically start the machine learning mode after the data is accumulated for a period of time, and analyze all call chain data.
The main analysis of the above operation is to find the sequential call chains therein, i.e. the links of this type of call chains are sequential and there is an inherent precedence.
For example, when a user uses a shopping application, the user first browses or searches for goods, then adds the goods to a shopping cart or directly settles the settlement, and then selects a receiving address to complete the settlement.
For such a sequential call chain, the memory system will automatically modify the storage mode to the bit storage mode. I.e. the complete link of such call chain is first written into a sequential complete link table. Still taking shopping as an example, the access route ID of the browsed goods is 1, the searched goods is 2, the joining shopping cart is 3, the settlement is 4, the receiving address is 5, and the settlement is 6. Then the complete link table is 1,2,3,4,5, 6. At this time, one link is to browse the goods, add the shopping cart, settle accounts, and complete the settlement. The stored calling sequence list field content is the corresponding bit string '101101', and during specific storage, the bit data is converted into the string. With this storage mode, the storage space is minimal under sequential call chains.
In this embodiment, first, a link feature of the call chain data is extracted, then, a sequence type of the call chain data is determined according to a sequence of the link feature, and finally, if the call chain data is a sequence type, a storage mode of the call chain data is modified to a bit storage mode.
Further, as described in the above example, the storage system may automatically initiate a machine learning mode after the data has been accumulated for a period of time, and analyze all call chain data.
The main analysis of the above operation is to find the sequential call chains therein, i.e. the links of this type of call chains are sequential and there is an inherent precedence.
For example, when a user uses a shopping application, the user first browses or searches for goods, then adds the goods to a shopping cart or directly settles the settlement, and then selects a receiving address to complete the settlement.
For such a sequential call chain, the memory system will automatically modify the storage mode to the bit storage mode. I.e. the complete link of such call chain is first written into a sequential complete link table. Still taking shopping as an example, the access route ID of the browsed goods is 1, the searched goods is 2, the joining shopping cart is 3, the settlement is 4, the receiving address is 5, and the settlement is 6. Then the complete link table is 1,2,3,4,5, 6. At this time, one link is to browse the goods, add the shopping cart, settle accounts, and complete the settlement. The stored calling sequence list field content is the corresponding bit string '101101', and during specific storage, the bit data is converted into the string. With this storage mode, the storage space is minimal under sequential call chains.
Further, in this embodiment, if a sequential call chain is identified, the storage system will automatically convert all the call chain storage data into a sequential storage manner.
Furthermore, the storage system records the calling chains, and subsequently, the calling chains of the same type are directly stored in a sequential mode when entering the storage system.
The method and the device have the advantages that the link characteristics of the call chain data are extracted, the sequence type of the call chain data is determined according to the sequence of the link characteristics, and finally, if the call chain data is the sequence type, the storage mode of the call chain data is modified into the bit storage mode. The sequential call chain can be intelligently analyzed, the storage mode of the sequential call chain is modified, and the most efficient and space-saving storage scheme is realized; and by means of scattering the basic data table and non-plaintext storage, data security is greatly improved.
Example ten
Based on the foregoing embodiments, the present invention further provides a computer-readable storage medium, where a call chain data processing program is stored, and when executed by a processor, the call chain data processing program implements the steps of the call chain data processing method according to any one of the foregoing embodiments.
By implementing the call chain data processing method, the call chain data processing equipment and the computer readable storage medium, call chain data are collected, wherein the call chain data at least comprise domain name information and path information; writing the call chain data into a basic information routing table; matching the system name corresponding to the domain name information, and determining a basic information sub-table corresponding to the domain name information; and determining the type of the call chain, and adopting a corresponding storage mode according to the type of the call chain. The high-efficiency and high-accuracy call chain data processing scheme is realized, on one hand, the data storage adopts non-plaintext storage, the data security is improved, on the other hand, the storage mode is optimized, the waste of the storage space is avoided, meanwhile, the security of the data table is further improved, the call chain information of the application program is prevented from being leaked, and the user experience is improved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (5)

1. A call chain data processing method, characterized in that the method comprises:
acquiring call chain data, wherein the call chain data at least comprises domain name information and path information;
writing the call chain data into a basic information routing table;
matching the system name corresponding to the domain name information, and determining a basic information sublist corresponding to the domain name information;
determining the type of the calling chain, and adopting a corresponding storage mode according to the type of the calling chain;
the acquiring of the call chain data, wherein the call chain data at least includes domain name information and path information, and includes:
acquiring server system information, and determining domain name information and path information in the system information;
determining corresponding name information according to the domain name information;
writing the ID information, the name information, the domain name information and the path information into a basic information table;
randomly scattering the basic information table, and storing the scattered basic information table in a sub-table mode;
the determining the type of the call chain and adopting the corresponding storage mode according to the type of the call chain further comprises:
analyzing the stored call chain data;
analyzing sequential types of the call chain data, wherein the sequential types comprise a sequential type and a non-sequential type;
extracting link characteristics of the call chain data;
determining the sequence type of the call chain data according to the sequence of the link characteristics;
and if the call chain data is in a sequence type, modifying the storage mode of the call chain data into a bit storage mode.
2. The call chain data processing method according to claim 1, wherein the writing of the call chain data into a basic information routing table includes:
determining the link relation between the basic information routing table and a database;
determining a corresponding storage position according to the ID information and the basic information routing table;
and determining the storage data corresponding to the ID information according to the storage position and the link relation.
3. A call chain data processing apparatus, characterized in that the apparatus comprises a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program realizing, when executed by the processor:
acquiring call chain data, wherein the call chain data at least comprises domain name information and path information;
writing the call chain data into a basic information routing table;
matching the system name corresponding to the domain name information, and determining a basic information sublist corresponding to the domain name information;
determining the type of the calling chain, and adopting a corresponding storage mode according to the type of the calling chain;
the computer program further enables, when executed by the processor:
acquiring server system information, and determining domain name information and path information in the system information;
determining corresponding name information according to the domain name information;
writing the ID information, the name information, the domain name information and the path information into a basic information table;
randomly scattering the basic information table, and storing the scattered basic information table in a sub-table mode;
the computer program further enables, when executed by the processor:
analyzing the stored call chain data;
analyzing sequential types of the call chain data, wherein the sequential types comprise a sequential type and a non-sequential type;
extracting link characteristics of the call chain data;
determining the sequence type of the call chain data according to the sequence of the link characteristics;
and if the call chain data is in a sequence type, modifying the storage mode of the call chain data into a bit storage mode.
4. The call chain data processing apparatus according to claim 3, wherein the computer program when executed by the processor further implements:
determining the link relation between the basic information routing table and a database;
determining a corresponding storage position according to the ID information and the basic information routing table;
and determining the storage data corresponding to the ID information according to the storage position and the link relation.
5. A computer-readable storage medium, having stored thereon a call chain data processing program which, when executed by a processor, implements the steps of the call chain data processing method of any of claims 1 to 2.
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