CN111447175A - Specific crowd management system based on mobile desensitization big data - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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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
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
- H04L63/0428—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the data content is protected, e.g. by encrypting or encapsulating the payload
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols 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]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
- H04W4/14—Short messaging services, e.g. short message services [SMS] or unstructured supplementary service data [USSD]
Abstract
The invention discloses a specific crowd management system based on mobile desensitization big data, which comprises the following steps: the terminal user provides a specific personnel list for the communication company, and the communication company analyzes according to the list and pushes the warning information to the terminal user in real time or quasi-real time; the communication company provides non-sensitive information such as the number, the area, the time and the like of the personnel entering the Beijing of a specific group to the mobile phone of the case handling organ which is registered in a short message mode, desensitizes the detailed information of the personnel entering the Beijing, and periodically stores desensitized data in an exclusive Ftp server directory of a terminal user; the terminal user scans own exclusive directory in real time, acquires the directory in real time when new data is generated, performs anti-desensitization processing, and performs analysis and management by using detailed data. The invention utilizes the real-time analysis of the mobile signaling data, gives real-time alarm when specific personnel move abnormally, shows the convergence condition of specific people in a thermodynamic diagram mode, is convenient for a terminal user to master in real time and analyzes in time.
Description
Technical Field
The invention relates to the technical field of specific crowd monitoring and management based on communication big data mining, in particular to a specific crowd management system based on mobile desensitization big data.
Background
At present, workers in cities, counties and counties do not have effective technical means to target specific groups to solve the problem of Beijing, and generally depend on special personnel targets in key areas of special personnel.
The mobile phone tracking method is characterized in that the mobile phone tracking method is a most effective and convenient tracking method for the target track, and currently, the mobile phone tracking method is used for calling the tracking information by adopting an offline butt joint mode with a mobile company, so that time and labor are wasted, and the timeliness is poor.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a specific population management system based on mobile desensitization big data.
A specific population management system based on mobile desensitization big data, comprising the steps of:
s1, providing a specific staff list to a communication company by the terminal user in a paper mode of adding official seal, analyzing by the communication company according to the list, and pushing alarm information to the terminal user in real time or quasi-real time;
s2, the communication company provides non-sensitive information such as the number, the area, the time and the like of the people entering the Beijing of a specific group to the mobile phone of the registration office in a short message mode, desensitizes detailed information of the people entering the Beijing, and periodically stores desensitized data in an Ftp server directory exclusive to the terminal user;
and S3, the terminal user scans own exclusive directory in real time, acquires the directory in real time when new data is generated, performs anti-desensitization processing, and performs analysis and management by using detailed data.
Preferably, in the above specific crowd management system based on mobile desensitization big data, the end user interacts with the AES key through RSA with the carrier, and the system automatically obtains data encrypted with the public key of its RSA certificate from the carrier, then decrypts the data with the private key, takes out the AES key, and imports the AES key into the desensitization processing system.
Preferably, in the above-mentioned specific crowd management system based on mobile desensitization big data, the system automatically generates an RSA certificate, automatically stores the RSA certificate in the FTP server directory of the carrier, or directly encrypts data with an RSA public key.
Preferably, in the above-mentioned specific population management system based on mobile desensitization big data, the anti-desensitization processing procedure includes that the end user takes desensitization data from the public network, then stores the desensitization data into the intranet, performs desensitization processing on the intranet, and then displays the desensitization data in the intranet data.
Preferably, in the above-mentioned specific crowd management system based on mobile desensitization big data, the alarm information sent by the communication company in a short message manner includes the number of people in different activities of the specific crowd to be managed and the current county where the different people are located, and does not display sensitive information of individual individuals.
Preferably, in the above specific crowd management system based on mobile desensitization big data, the format of the alarm message sent by the communication company in a short message mode is as follows: there are n targets present in the m region, in xx fashion.
Preferably, in the above specific crowd management system based on mobile desensitization big data, the system background of the end user periodically obtains desensitization data from the exclusive directory of the FTP server of the carrier, automatically decrypts the data, converts the desensitization data into identifiable individual information according to the desensitization information, and stores the identifiable individual information in a storage.
Preferably, in the above-mentioned specific population management system based on mobile desensitization big data, the carrier stores the summary information of the specific population into the FTP server directory of the carrier based on spark technology, distributed collection and convergence signaling, distributed synchronous reception, and distributed analysis.
Preferably, in the above-mentioned specific crowd management system based on mobile desensitization big data, each piece of data interacted between the end user and the carrier is stored by a third party in a federation chain manner by using a blockchain technology, and is backed up by the third party at the same time.
The invention has the beneficial effects that: the specific crowd management system based on the mobile desensitization big data analyzes the mobile signaling information in real time, deeply excavates and acquires the interest information of the user on the basis of the mobile desensitization big data, and can realize efficient and convenient tracking management on the whereabouts of specific crowd targets. By combining with an information security encryption technology, the information transmission is encrypted in the whole process, and historical information is recorded by adopting a block chain, so that the system can be prevented from being maliciously used by an operating user.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic of the architecture of the present invention;
FIG. 2 is an overall flow diagram of the present invention;
FIG. 3 is a hardware overview topology of the present invention;
fig. 4 is a software overall topology diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 and fig. 2, an embodiment of the present invention provides a specific population management system based on mobile desensitization big data, which includes the following steps:
s1, the terminal user provides a specific personnel list to the communication company in a paper mode of adding official seal, and the list information comprises: mobile phone number (necessary), IMEI (best available), TMSI (best available), gender, age, etc., and then the carrier analyzes the list and pushes the alarm information to the end user in real time or near real time. The business operation and maintenance of the communication company side receives the list information of the paper mode with official seal, splits the number belonging information, confirms whether the list information monitored by the company is in accordance with the charging mode, and imports the list information according to the list of the corresponding terminal user company, the system imports the list information from the ftp server directory, the business operation and maintenance personnel confirm whether the list information is in accordance with the paper information, if not, deletes the list, records the information which is not in accordance with the regulations, and delivers the list to the terminal user personnel for re-proofreading.
S2, the communication company provides non-sensitive information such as the number, the area, the time and the like of the people entering the Beijing of the specific group to the mobile phone of the office which is registered in a related way in a short message way, desensitizes the detailed information of the people entering the Beijing, and periodically stores desensitized data in an Ftp server directory which is exclusive to the terminal user.
And S3, the terminal user scans own exclusive directory in real time, acquires the directory in real time when new data is generated, performs anti-desensitization processing, and performs analysis and management by using detailed data.
As shown in fig. 2, which is a general flowchart of the present invention, the terminal user interacts with the carrier through RSA to obtain the AES key, and the system automatically obtains the data encrypted by the public key of the carrier's own RSA certificate from the carrier, then decrypts the data by using the private key, and takes out the AES key, and introduces the AES key into the desensitization processing system. In addition, the system automatically generates RSA certificate, and automatically stores the RSA certificate in FTP server directory of communication company, or directly encrypts data by RSA public key. The desensitization preventing process includes the steps that the terminal user obtains desensitization data from the public network, then the desensitization data are stored in the intranet, desensitization treatment is carried out on the intranet, and then the desensitization data are displayed in the intranet data. The system adopts a full-flow independently designed encryption model, and the full-flow encryption information transmission ensures that the safety information is not leaked, so that the online mode can be safely transferred to the online model, and the safety information investigation progress is greatly provided.
Further, in a preferred embodiment of the present invention, the warning information sent by the communication company in the form of short message includes the number of people moving in different directions of the specific group to be managed and the current county where the different people are located, and does not display the sensitive information of the individual. The format of the alarm information sent by the communication company in the short message mode is as follows: and n targets appear in the m area, and after receiving the warning short message information, the terminal user personnel correspondingly processes the warning short message information in an xx mode according to the situation. The system background of the terminal user regularly acquires desensitization data from the exclusive directory of the FTP server of the communication company, automatically decrypts the data, converts the desensitization data into identifiable individual information according to the desensitization information, and stores the identifiable individual information in a warehouse.
The real-time signaling of mobile companies is as large as millions per second, and the real-time transmission and reception are difficult to achieve, and the real-time signaling is collected off line and analyzed off line before. As shown in fig. 3 and 4, the carrier is based on spark technology, collects and collects signaling in a distributed manner, receives synchronously in a distributed manner, analyzes in a distributed manner, and stores summary information of a specific group of people into an FTP server directory of the carrier. The system adopts a distributed kafka framework, a signaling source of each base station is used as a distributed node input source, desensitization information of each node is encrypted and parallelly issued to kafka, the kafka information safely passes through an information security gateway and then is synchronized to a quasi-real-time big data issuing gateway outside an existing network, the kafka receives and distributes opposite-end kafka signaling information, and a signaling receiving end depends on a spark distributed platform and a distributed redis cache framework and parallelly receives mass signaling data and stores the mass signaling data into the redis.
The Spark platform processes redis cache data in real time, an own graph calculation model is established according to signaling data, noise data are eliminated, a Spark graph frame is used for extracting core value data in parallel, and data throughput is achieved without blocking. The system performs hash processing on target number information concerned by a user at a source, so that number sensitive information is subjected to irreversible processing at the source, the user adopts asymmetric encryption when uploading information to a mobile company network, data is guaranteed to be undecipherable on a transmission link, and meanwhile, zero-knowledge proof is adopted by the two parties during identity confirmation, so that identity validity is guaranteed. Asymmetric encryption and zero knowledge proof are also employed when value information is passed back from the mobile company to the user. The system of the invention is based on hadoop, springboot, springclosed and docker, and realizes distributed computation of big data and agile development and deployment of the system.
In order to solve the problem of data privacy security, in the invention, each piece of data interacted between a terminal user and a communication company is stored by a third party in a alliance chain mode by adopting a block chain technology, and is backed up by the third party. The block chain technology is adopted to manage the information investigated by the user according to the block chain mode, so that the traceability of the safety information is ensured, and the safety information cannot be tampered.
In the invention, the communication company can be a three-part union of China Mobile, China Unicom and China telecom, and the real-time analysis of mobile signaling data is utilized, when a specific person enters the Beijing, the real-time alarm is given, the convergence condition of the specific people is shown in a thermodynamic diagram manner, so that the terminal user can conveniently master and analyze the convergence condition in real time.
The principles and embodiments of the present invention should be illustrated by specific examples, which are only used to help understand the method and the core idea of the present invention. Meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (9)
1. A specific population management system based on mobile desensitization big data, comprising the steps of:
s1, providing a specific staff list to a communication company by the terminal user in a paper mode of adding official seal, analyzing by the communication company according to the list, and pushing alarm information to the terminal user in real time or quasi-real time;
s2, the communication company provides non-sensitive information such as the number, the area, the time and the like of the people entering the Beijing of a specific group to the mobile phone of the registration office in a short message mode, desensitizes detailed information of the people entering the Beijing, and periodically stores desensitized data in an Ftp server directory exclusive to the terminal user;
and S3, the terminal user scans own exclusive directory in real time, acquires the directory in real time when new data is generated, performs anti-desensitization processing, and performs analysis and management by using detailed data.
2. The system for managing specific crowds based on mobile desensitization big data according to claim 1, characterized in that the end user interacts with the carrier through RSA with an AES key, the system automatically obtains data encrypted with its own RSA certificate public key from the carrier, then decrypts the data with a private key, takes out the AES key, and imports the AES key into the desensitization processing system.
3. The system for managing specific crowds based on mobile desensitization big data according to claim 2, characterized in that the system automatically generates RSA certificate, automatically stores it in FTP server directory of the communication company, or directly encrypts data with RSA public key.
4. The system for managing specific crowds based on mobile desensitization big data according to claim 1, wherein the anti-desensitization processing procedure comprises that an end user takes desensitization data from a public network, then stores the desensitization data into an internal network, carries out desensitization processing on the internal network, and then displays the desensitization data in the internal network data.
5. The system for managing specific crowd based on mobile desensitization big data according to claim 1, characterized in that the alarm information sent by the communication company in short message mode includes the number of people in different activities of the specific crowd to be managed and the current county where the different people are located, and does not display the sensitive information of the individual.
6. The system for managing specific groups of people based on mobile desensitization big data according to claim 5, characterized in that the alarm information sent by the communication company in short message mode is in the format: there are n targets present in the m region, in xx fashion.
7. The system for managing the specific crowd based on the mobile desensitization big data according to claim 1, wherein the system background of the end user regularly obtains the desensitization data from the exclusive directory of the FTP server of the communication company, automatically decrypts the desensitization data, converts the desensitization data into identifiable individual information according to the desensitization information, and stores the identifiable individual information in a warehouse.
8. The mobile desensitization big data based specific population management system according to claim 1, wherein the carriers store specific population summary information into the carriers' FTP server directory based on spark technology, distributed collection of aggregate signaling, distributed synchronous reception, distributed analysis.
9. The system of claim 1, wherein each piece of data between the end user and the carrier is stored by a third party in a federated manner using blockchain technology, and backed up by the third party.
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Cited By (1)
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Application publication date: 20200724 |