CN116305247B - Sensitive information detection method and system for process data of vehicle-mounted application software - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6281—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database at program execution time, where the protection is within the operating system
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Abstract
The invention relates to the technical field of data security of automobile application software, in particular to a sensitive information detection method and a sensitive information detection system of process data of vehicle-mounted application software, comprising the following steps: s1: capturing an application software starting state; s2: marking associated process information; s3: starting process state tracking; s4: dumping process data; s5: executing the grammar tree to detect the sensitive information; s6: a sensitive information analysis report is generated. The invention can realize automatic detection and report generation of the sensitive information of the process data of the automobile application software, and improves the process data analysis efficiency, thereby ensuring the safety of the interactive data of the automobile application software.
Description
Technical Field
The invention relates to the technical field of data security of automobile application software, in particular to a sensitive information detection method and system of process data of vehicle-mounted application software.
Background
Along with the popularization of intelligent network automobiles, the functions of vehicle-mounted interactive equipment are more and more complex, the quantity of the rapidly increased application software also greatly increases the interactive process data quantity, and when the interactivity of the application software functions on the automobiles is increasingly diversified, it becomes impractical to analyze whether the application software process data have corresponding sensitive information only manually.
The automobile industry is different from the traditional internet industry, has quite high standard and requirement on the safety of application software, and the problem of data safety of the application software can cause serious information leakage on an automobile, however, the research on the process data analysis of the application software of the automobile is quite few at present. Therefore, the research on the analysis rules and the analysis methods of the process data of the automobile application software is beneficial to the safe and healthy development of the automobile and software industry.
Although some open source tools can realize analysis of application software process data at present, the problems that parameters and commands are required to be manually input and manual screening is required from analysis results still exist, and automatic analysis cannot be completed. It is therefore necessary to develop an automated method of analyzing application software process data.
Disclosure of Invention
The invention provides a method and a system for detecting sensitive information of process data of vehicle-mounted application software, which can realize automatic analysis and report generation of the process data of the vehicle-mounted application software, improve the detection efficiency of the sensitive information of the process data and further ensure the data security of the vehicle-mounted application software.
The invention relates to a sensitive information detection method of vehicle-mounted application software process data, which comprises the following steps:
S1: capturing the starting state of the application software to be detected;
S2: marking the associated process information according to the acquired application software state;
S3: according to the marked application software process information, carrying out corresponding process state tracking on the application software to be detected;
s4: starting a memory data dump service program of a corresponding process according to the tracked process state, and generating corresponding character data from memory data in a binary format through a visible character extraction program according to the memory data which is successfully dumped;
S5: matching the character data obtained in the step S4 through analysis rules in the sensitive information analysis module, judging that the piece of data has corresponding sensitive information if the matching is successful, recording key sensitive information of the piece of data, and judging that the piece of data has no related sensitive information if the matching is failed;
S6: and (5) summarizing and sorting the detection result of the sensitive information obtained in the step (S5) into a sensitive information analysis report and outputting the sensitive information analysis report.
Preferably, the specific method for marking the process information in step S2 is as follows: and marking downwards step by step from the main process of the application software to be detected, if the process state is found to be the running state, recording the related process number.
Preferably, the matching of the sensitive information in step S5 is implemented based on an abstract syntax tree matching mechanism.
The invention provides a sensitive information detection system of vehicle-mounted application software process data, which adopts the sensitive information detection method of the vehicle-mounted application software process data and comprises a data management module, an analysis rule base module, a sensitive information analysis module and a report generation module, wherein:
The data management module is used for capturing the process information of the application software to be detected, and tracking and data dumping the process information;
the analysis rule base module is used for storing analysis rules corresponding to each sensitive data type of the application software;
The sensitive information analysis module is used for reading corresponding analysis rules from the analysis rule base module according to the type of sensitive information to be analyzed selected by a user, and then carrying out sensitive information analysis according to the following steps:
1) Extracting visible characters from dump data of the application software to be detected to generate a text file of the visible character data;
2) Starting the corresponding analysis sub-level task number according to the total text size of the visible character data file;
3) Distributing corresponding data content to corresponding analysis subtask function according to the number of analysis subtasks, matching the extracted data with corresponding sensitive information in an analysis rule, if the matching is successful, judging that the piece of data has the corresponding sensitive information, recording key sensitive information of the piece of data, sending the key sensitive information to a report generating module, and if the matching is failed, judging that the piece of data has no related sensitive information;
And the report generation module is used for summarizing and arranging the received sensitive information detection results of all the subtasks into a sensitive information analysis report and outputting the sensitive information analysis report.
According to the type of sensitive information to be analyzed, a corresponding sensitive information analysis rule is set, visible character extraction is carried out on dump data of automobile application software to be detected, a visible character data text file is generated, the number of corresponding analysis sub-level tasks is started according to the total text size of the visible character data file, and finally, key sensitive information successfully matched is recorded and a report is generated according to the function of detection tasks. The invention can realize automatic detection and report generation of the sensitive information of the process data of the automobile application software, and improves the process data analysis efficiency, thereby ensuring the safety of the interactive data of the automobile application software.
Drawings
FIG. 1 is a flow chart of a method for detecting sensitive information of process data of vehicle-mounted application software in an embodiment;
FIG. 2 is a flow chart of extracting automotive application process data in an embodiment;
FIG. 3 is a flow diagram of sensitive information detection for extracted data in an embodiment;
FIG. 4 is a block diagram of a sensitive information detection system for process data of an in-vehicle application in an embodiment.
Detailed Description
For a further understanding of the present invention, the present invention will be described in detail with reference to the drawings and examples. It is to be understood that the examples are illustrative of the present invention and are not intended to be limiting.
Examples
As shown in fig. 1, the present embodiment provides a method for detecting sensitive information of process data of vehicle-mounted application software, which includes the following steps:
s1: capturing an application software starting state;
Capturing the starting state of the application software to be detected;
And capturing a corresponding application software starting state according to the application software to be analyzed. There are various states in the starting of the automobile application software, such as an Active/Running state, a pause (Paused) state, a stop (stop) state, and an inactive (read) state, and in order to detect the process data of the application software, it is required to capture whether the application software successfully enters the Active state.
S2: marking associated process information;
marking the associated process information according to the acquired application software state;
The specific method for marking the process information in the step S2 is as follows: and marking downwards step by step from the main process of the application software to be detected, if the process state is found to be the running state, recording the related process number.
The specific method for carrying out the associated process PID marking on the automobile application software to be detected comprises the following steps: and scanning downwards step by step from the main process of the automobile application software to be detected, if the associated subprocess is found, recording the PID of the current process.
S3: starting process state tracking;
according to the marked application software process information, carrying out corresponding process state tracking on the application software to be detected;
And starting process state tracking in a periodical query mode in the whole detection process according to the marked application software process PID, if the corresponding process is captured to be in an active state, placing the current process PID in a task queue for data dumping, if the corresponding process is captured to be in an inactive state, and removing the current process PID from the task queue for data dumping.
S4: dumping process data;
Starting a memory data dump service program of a corresponding process according to the tracked process state, and generating corresponding character data from memory data in a binary format through a visible character extraction program according to the memory data which is successfully dumped;
And a task queue for dumping according to the formed data. FIG. 2 is a flowchart of an embodiment of extracting process data for automotive applications. As shown in fig. 2, the data DUMP function program needs to acquire the PID corresponding to the activity from the task queue of the data DUMP, then DUMP (DUMP) the memory data of the process, and DUMP the process data in the task queue of the data DUMP successively and record and summarize. Because the associated process memory data is dumped, the original state of the data is in a Binary (BIN) format, character extraction is needed to be carried out on the original data for subsequent sensitive information analysis, and finally a text format which is convenient to detect is generated.
S5: executing the grammar tree to detect the sensitive information;
Matching the character data obtained in the step S4 through analysis rules in the sensitive information analysis module, judging that the piece of data has corresponding sensitive information if the matching is successful, recording key sensitive information of the piece of data, and judging that the piece of data has no related sensitive information if the matching is failed; in step S5, the matching of the sensitive information is implemented based on an abstract syntax tree matching mechanism.
And importing the generated text to be detected, transmitting the detection rule list parameters and tasks to be executed to an analysis task manager by an analysis initialization program according to the total size of the text to be detected, starting a corresponding analysis subtask number according to the actual condition by the parameter task manager, matching the content in the detection text with the detection rule list parameters corresponding to the analysis rules, judging that the data has corresponding sensitive information if the matching is successful, recording key sensitive information of the data, and judging that the data does not have related sensitive information if the matching is failed. The specific method for matching the sensitive information comprises the following steps: the source data content is acquired by line, the attempt is started from the head of the data source, the whole expression is failed to match when the character string is matched to a certain position, then the engine drives the rule forward, the whole expression starts to retry the matching after moving backwards from the position of the head, and the like until the matching is reported to be successful or the matching is reported to be failed after the last position is tried. In this embodiment, an abstract syntax tree matching (AST MATCHERS) mechanism is used to complete the matching of sensitive information, and mainly an indeterminate finite automaton (NFA, non-DETERMINISTIC FINITE automaton) is used, and after the matching is initiated, the mechanism goes back until the longest matching at the leftmost side is found, until the matching is cut off.
FIG. 3 is a flow chart of an embodiment of sensitive information detection for extracted data. As shown in fig. 3, the present process presents a high cohesive and low coupling framework of the whole sensitive information analysis engine, wherein the analysis task manager can make corresponding task assignment for the relevant parameters of the source data and the analysis rule base, so that the analysis engine efficiency reaches the optimum.
S6: generating a sensitive information analysis report;
And (5) summarizing and sorting the detection result of the sensitive information obtained in the step (S5) into a sensitive information analysis report and outputting the sensitive information analysis report. In the sensitive information analysis report, besides the position of the display program block, statistics can be performed on the occurrence of the sensitive information.
As shown in fig. 4, the present embodiment provides a system for detecting sensitive information of vehicle-mounted application software process data, which adopts the method for detecting sensitive information of vehicle-mounted application software process data as described above, and includes a data management module, an analysis rule base module, a sensitive information analysis module, and a report generation module, where:
The data management module is used for capturing the process information of the application software to be detected, and tracking and data dumping the process information;
the analysis rule base module is used for storing analysis rules corresponding to each sensitive data type of the application software;
The sensitive information analysis module is used for reading corresponding analysis rules from the analysis rule base module according to the type of sensitive information to be analyzed selected by a user, and then carrying out sensitive information analysis according to the following steps:
1) Extracting visible characters from dump data of the application software to be detected to generate a text file of the visible character data;
2) Starting the corresponding analysis sub-level task number according to the total text size of the visible character data file;
3) Distributing corresponding data content to corresponding analysis subtask function according to the number of analysis subtasks, matching the extracted data with corresponding sensitive information in an analysis rule, if the matching is successful, judging that the piece of data has the corresponding sensitive information, recording key sensitive information of the piece of data, sending the key sensitive information to a report generating module, and if the matching is failed, judging that the piece of data has no related sensitive information;
And the report generation module is used for summarizing and arranging the received sensitive information detection results of all the subtasks into a sensitive information analysis report and outputting the sensitive information analysis report.
The embodiment can realize automatic detection and report generation of the sensitive information of the process data of the automobile application software, and improves the process data analysis efficiency, thereby ensuring the safety of the interactive data of the automobile application software.
The invention and its embodiments have been described above by way of illustration and not limitation, and the invention is illustrated in the accompanying drawings and described in the drawings in which the actual structure is not limited thereto. Therefore, if one of ordinary skill in the art is informed by this disclosure, the structural mode and the embodiments similar to the technical scheme are not creatively designed without departing from the gist of the present invention.
Claims (3)
1. A sensitive information detection method of vehicle-mounted application software process data is characterized by comprising the following steps of: the method comprises the following steps:
S1: capturing the starting state of the application software to be detected;
S2: marking the associated process information according to the acquired application software state;
the specific method for marking the process information in the step S2 is as follows: progressively marking downwards from the main process of the application software to be detected, if the process state is found to be the running state, recording the related process number;
S3: according to the marked application software process information, carrying out corresponding process state tracking on the application software to be detected;
s4: starting a memory data dump service program of a corresponding process according to the tracked process state, and generating corresponding character data from memory data in a binary format through a visible character extraction program according to the memory data which is successfully dumped;
S5: matching the character data obtained in the step S4 through analysis rules in the sensitive information analysis module, judging that the piece of data has corresponding sensitive information if the matching is successful, recording key sensitive information of the piece of data, and judging that the piece of data has no related sensitive information if the matching is failed;
S6: and (5) summarizing and sorting the detection result of the sensitive information obtained in the step (S5) into a sensitive information analysis report and outputting the sensitive information analysis report.
2. The method for detecting sensitive information of process data of vehicle-mounted application software according to claim 1, wherein the method comprises the steps of: in step S5, the matching of the sensitive information is implemented based on an abstract syntax tree matching mechanism.
3. A sensitive information detection system of vehicle-mounted application software process data is characterized in that: the method for detecting the sensitive information of the process data of the vehicle-mounted application software according to any one of claims 1-2, comprising a data management module, an analysis rule base module, a sensitive information analysis module and a report generation module, wherein:
The data management module is used for capturing the process information of the application software to be detected, and tracking and data dumping the process information;
the analysis rule base module is used for storing analysis rules corresponding to each sensitive data type of the application software;
The sensitive information analysis module is used for reading corresponding analysis rules from the analysis rule base module according to the type of sensitive information to be analyzed selected by a user, and then carrying out sensitive information analysis according to the following steps:
1) Extracting visible characters from dump data of the application software to be detected to generate a text file of the visible character data;
2) Starting the corresponding analysis sub-level task number according to the total text size of the visible character data file;
3) Distributing corresponding data content to corresponding analysis subtask function according to the number of analysis subtasks, matching the extracted data with corresponding sensitive information in an analysis rule, if the matching is successful, judging that the piece of data has the corresponding sensitive information, recording key sensitive information of the piece of data, sending the key sensitive information to a report generating module, and if the matching is failed, judging that the piece of data has no related sensitive information;
And the report generation module is used for summarizing and arranging the received sensitive information detection results of all the subtasks into a sensitive information analysis report and outputting the sensitive information analysis report.
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