CN113098913B - Data security analysis and evaluation method and system based on data sharing service platform - Google Patents
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Abstract
The application provides a data security analysis and evaluation method and system based on a data sharing service platform, and the method comprises the following substeps: acquiring data source characteristic data and historical data acquisition process characteristic data through a shared access point; the data source characteristic data comprises: data source attribute characteristic data and current data source platform operation abnormal characteristic data; calculating a data security evaluation value of the data source according to the data source characteristic data and the historical data acquisition process characteristic data; and comparing the calculated data security evaluation value of the data source with a preset security threshold, if the data security evaluation value is smaller than the preset security threshold, acquiring the data of the data source from the known security sharing access point, otherwise, forbidding to acquire the data of the current data source. According to the method and the device, the data are analyzed and evaluated in safety, and the data meeting the safety requirement are obtained, so that the safety of the data is improved, and the obtained malicious data or the data are prevented from being stolen by malicious invasion.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a data security analysis and evaluation method and system based on a data sharing service platform.
Background
With the development of informatization of each industry, systems and data of each industry are more and more, requirements in various aspects such as interconnection, sharing and exchange, business cooperation, data management and the like are provided for IT system construction, and a data sharing service platform is provided in the wave aiming at the requirements. The data sharing service platform provides an ETL tool with extremely strong compatibility, can report data from different data sources, including different platforms such as enterprise industry and commerce, tax, judicial and the like, and different types of data are cleaned and then sent into a big data platform constructed by Hadoop, and the big data and artificial intelligence analysis capability are provided according to upper-layer business requirements, so that different business models can be quickly constructed. However, data acquired from different data sources have certain potential safety hazards, and in order to prevent malicious data from being acquired and prevent the acquired data from being invaded or stolen by malicious damage, a data security analysis and evaluation method and system based on a data sharing service platform are urgently needed.
Disclosure of Invention
The application aims to provide a data security analysis and evaluation method and system based on a data sharing service platform, which are used for carrying out security analysis and evaluation on data and acquiring and sharing data meeting security requirements so as to improve the security of the data and prevent the acquired malicious data or the data from being maliciously invaded and stolen.
In order to achieve the above object, the present application provides a data security analysis and evaluation method based on a data sharing service platform, which includes the following sub-steps: acquiring data source characteristic data and historical data acquisition process characteristic data through a shared access point; wherein the data source characteristic data comprises: data source attribute characteristic data and current data source platform operation abnormal characteristic data; calculating a data security evaluation value of the data source according to the data source characteristic data and the historical data acquisition process characteristic data; and comparing the calculated data security evaluation value of the data source with a preset security threshold, if the data security evaluation value is smaller than the preset security threshold, acquiring the data of the data source from the known security sharing access point, otherwise, forbidding to acquire the data of the current data source.
As above, wherein the method further comprises: storing the acquired data source data to a data sharing service platform, and performing security authentication marking on the acquired data; and sending the security authentication mark information to an authorized data acquisition terminal so that the data acquisition terminal acquires the required data after the security authentication by using the security authentication mark information.
As above, wherein the current data source running abnormal feature data includes: data loss, scrambling codes, images or text are not shown.
The method comprises the steps of dividing data source attribute feature data into authorization feature data, malicious feature data and regular feature data.
The method adopts the pre-constructed data source platform anomaly identification model to automatically identify the anomaly characteristics existing in the current data source platform.
The method for identifying the data source platform anomaly, which is constructed in advance, comprises the following steps:
acquiring a training data set, wherein the training data set comprises a plurality of known abnormal characteristic data;
constructing a basic convolutional neural network model;
and inputting the training data set into a basic convolutional neural network model for training to obtain a data source platform anomaly identification model.
The data source data stored to the data sharing service platform is subjected to storage standardization operation, and the storage standardization operation comprises data deduplication, data completion, data normalization, data filtering or data merging.
As above, a new security access point is established according to the needs of each service system, and the new security access point is shared to authorized users, so that the authorized users can share the information of the platform, and access points which have no use significance or have been replaced by the new access point are deleted.
A data security analysis and evaluation system based on a data sharing service platform, the system comprising: the data acquisition module is used for acquiring data source characteristic data and historical data acquisition process characteristic data through the shared access point; wherein the data source characteristic data comprises: data source attribute characteristic data and current data source platform operation abnormal characteristic data; the data processor is used for acquiring process characteristic data according to the data source characteristic data and the historical data and calculating a data safety evaluation value of the data source; and the data comparison module is used for comparing the calculated data security evaluation value of the data source with a preset security threshold, acquiring the data of the data source from the known security sharing access point if the data security evaluation value is smaller than the preset security threshold, and forbidding acquiring the data of the current data source if the data security evaluation value is not smaller than the preset security threshold.
As above, wherein the system further comprises:
the security authentication marking module is used for storing the acquired data source data to the data sharing service platform and carrying out security authentication marking on the acquired data;
and the sending module is used for sending the security authentication mark information to an authorized data acquisition terminal so that the data acquisition terminal acquires the required data after the security authentication is carried out on the security authentication mark information.
The beneficial effect that this application realized is as follows:
(1) according to the method and the device, the data are analyzed and evaluated in safety, and the data meeting the safety requirements are acquired and shared, so that the safety of the data is improved, and the acquired malicious data or the data are prevented from being stolen by malicious invasion.
(2) According to the data acquisition method and device, the acquired data are stored in the data sharing service platform, the acquired data are subjected to security authentication marking, and the security authentication marking information is sent to the authorized data acquisition terminal, so that the data acquisition terminal can acquire required data after security authentication by using the security authentication marking information, the security of the data is improved, and the data are prevented from being maliciously acquired and tampered.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be 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 described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a flowchart of a data security analysis and evaluation method based on a data sharing service platform according to an embodiment of the present application.
Fig. 2 is a flowchart of a method for acquiring characteristic data of a data source and characteristic data of a historical data acquisition process according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of a data security analysis and evaluation system based on a data sharing service platform according to an embodiment of the present application.
Reference numerals: 10-a data acquisition module; 20-a data processor; 30-a data comparison module; 40-a security authentication mark module; 50-a sending module; 100-data security analysis and evaluation system.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. 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 application.
Example one
As shown in fig. 1, a data security analysis and evaluation method based on a data sharing service platform includes:
and step S1, acquiring the characteristic data of the data source and the characteristic data of the historical data acquisition process through the shared access point.
The data source characteristic data is characteristic data of a data source platform, and the data source platform is a source for acquiring data for the data sharing service platform and comprises large network platforms.
As shown in fig. 2, step S1 includes:
step S110, obtaining data source characteristic data, wherein the data source characteristic data comprises: the data source attribute feature data and the current data source platform operation abnormity feature data.
The data source attribute feature data comprises: shared access points, IP addresses, MAC addresses, usernames, ports, external plug-in links, external plug-in codes, etc. of the data source platform.
The current data source platform operation abnormal characteristic data comprises the following steps: data loss, messy codes, non-display of images or characters, existence of bugs and the like.
And step S120, classifying the data source attribute feature data.
Specifically, the data source attribute feature data is divided into authorization feature data, malicious feature data and conventional feature data.
Comparing the collected data source attribute feature data with data in a pre-constructed malicious data list to obtain malicious feature data in the data source attribute feature data; comparing the collected data source attribute feature data with data in a pre-constructed authorized data list to obtain authorized feature data in the data source attribute feature data; data that does not belong to either the authorized feature data or the malicious feature data is regular feature data.
And step S130, acquiring historical data acquisition process characteristic data.
The historical data acquisition process characteristic data comprises the following steps: the data acquisition method comprises the steps of carrying out data process interruption times on a data source in the data acquisition process, and obtaining the number and types of exceptions of a data source platform in the data acquisition process. The data source platform has the exceptions of data loss, messy codes, undisplayed images or characters, vulnerability and the like.
As a specific embodiment of the invention, a pre-constructed data source platform anomaly identification model is adopted to automatically identify the anomalies existing in the data source platform.
The method for pre-constructing the data source platform anomaly identification model comprises the following steps:
and step T1, acquiring a training data set.
The training data set includes a plurality of known abnormal feature data.
And step T2, constructing a basic convolutional neural network model.
And step T3, inputting the training data set into the basic convolutional neural network model for training to obtain a data source platform abnormity identification model for automatically identifying the abnormity of the data source platform.
And step S2, calculating a data safety evaluation value of the data source according to the data source characteristic data and the historical data acquisition process characteristic data.
Specifically, the calculation formula of the data security assessment value is as follows:
wherein,
representing a data security assessment value;
a security factor representing a shared access point for the data sources;
data pair representing data source attributeThe impact weight of the full evaluation value;
representing the influence weight of the running condition of the data source platform on the data safety evaluation value;
representing influence weight of the current data source platform abnormal characteristic data;
representing the current data source platform
An individual anomaly characteristic;
the total category number of the abnormal features representing the current data source platform;
representing the current data source platform
The number of individual anomaly features;
representing the current data source platform
A risk value for an individual anomaly characteristic;
representing the total number of data acquisition processes;
indicating the number of times the data process is interrupted;
is shown as
The interrupt risk factor for each process of acquiring data,
is shown as
Obtaining the abnormal number of the data source platform during the data process;
is shown as
Acquiring a danger value of a data source platform during a data process;jis shown asjSeed data source attribute feature data;
representing the total number of types of the attribute feature data of the data source;
is shown asjInfluence weight of the attribute characteristic data of the seed data source;e=2.718；
is shown asjThe number of data in the attribute feature data of the seed data source, which belong to a malicious data list;
is shown asjThe number of data in the authorized data list in the attribute characteristic data of the seed data source;
is shown asjThe number of the attribute feature data of the seed data source, which do not belong to malicious data or authorized data;
an impact factor representing malicious feature data;
an impact factor representing authorization profile data;
the influence factor of the characteristic data belonging to neither malicious data nor authorized data.
As above, the risk value calculation formula of the data source platform is as follows:
wherein,
is shown as
Acquiring a danger value of a data source platform during a data process;
is shown as
Acquiring the quantity of abnormal types of a data source platform during the operation of a data process;
is shown as
Data source platform existing during data process acquisition
A period of data acquisition processTo get rid of
The number of seed anomalies;
a second type of anomaly is indicated,
is shown as
And (4) seeding the abnormal malicious values.
Step S3, comparing the calculated data security assessment value of the data source with a preset security threshold, if the data security assessment value is smaller than the preset security threshold, acquiring data of the data source from the known secure sharing access point, otherwise, prohibiting acquiring data of the current data source.
And step S4, storing the acquired data source data to the data sharing service platform, and performing security authentication marking on the acquired data.
As a specific embodiment of the present invention, a storage standardization operation is performed on the acquired data source data stored in the data sharing service platform, specifically including data deduplication, data completion, data normalization, data filtering, data merging, and other operations.
Step S5, sending the security authentication mark information to an authorized data acquiring terminal, so that the data acquiring terminal acquires the required data after performing security authentication using the security authentication mark information.
As a specific embodiment of the present invention, a new security access point is established according to the needs of each service system, and the new security access point is shared to authorized users to share the information of the platform for the authorized users, so as to delete access points which have no use significance or have been replaced by the new access point.
And step S6, the data acquisition terminal acquires the behavior characteristic information of the data on the data sharing service platform.
Wherein the behavior feature information includes: the method comprises the steps of obtaining the data, and obtaining the times of security authentication operation, the time length of security authentication, the times of data downloading, the times of data non-related to a data obtaining terminal and the like before obtaining the data.
Step S7, calculating a malicious value of the acquired data of the data acquisition terminal according to the behavior feature information of the acquired data.
Specifically, the calculation formula of the malicious value of the acquired data is as follows:
wherein,
a malicious value representing acquired data;
representing the number of security authentication operations;
indicating the number of times data is downloaded;
;
representing the number of times of acquiring the non-related class data of the data acquisition terminal;
is shown as
The operation duration of the sub-security authentication;
is shown as
A medicine for treating chronic hepatitisStandard operation time for full authentication.
Step S8, comparing the malicious value of the acquired data with a preset security value, if the malicious value is greater than the preset security value, prohibiting the data acquisition terminal from acquiring the data of the data sharing service platform, otherwise, allowing the data acquisition terminal to acquire the data of the data sharing service platform.
Example two
As shown in fig. 3, the present application provides a data security analysis and evaluation system 100 based on a data sharing service platform, which includes:
the data acquisition module 10 is used for acquiring data source characteristic data and historical data acquisition process characteristic data through a shared access point; wherein the data source characteristic data comprises: the data source attribute feature data and the current data source platform operation abnormity feature data.
And the data processor 20 is used for calculating a data safety evaluation value of the data source according to the data source characteristic data and the historical data acquisition process characteristic data.
And the data comparison module 30 is configured to compare the calculated data security evaluation value of the data source with a preset security threshold, and if the data security evaluation value is smaller than the preset security threshold, acquire data of the data source from the known secure sharing access point, otherwise, prohibit acquiring data of the current data source.
And the security authentication marking module 40 is used for storing the acquired data source data to the data sharing service platform and performing security authentication marking on the acquired data.
And a sending module 50, configured to send the security authentication mark information to an authorized data acquiring terminal, so that the data acquiring terminal acquires required data after performing security authentication using the security authentication mark information.
And the data acquisition module 10 is used for acquiring behavior characteristic information of data acquired by the data acquisition terminal on the data sharing service platform.
Wherein the behavior feature information includes: the method comprises the steps of obtaining the data, and obtaining the times of security authentication operation, the time length of security authentication, the times of data downloading, the times of data non-related to a data obtaining terminal and the like before obtaining the data.
And the data processor 20 is used for calculating a malicious value of the acquired data of the data acquisition terminal according to the behavior characteristic information of the acquired data.
The data comparison module 30 is configured to compare the malicious value of the acquired data with a preset security value, and if the malicious value is greater than the preset security value, prohibit the data acquisition terminal from acquiring the data of the data sharing service platform, otherwise, allow the data acquisition terminal to acquire the data of the data sharing service platform.
The beneficial effect that this application realized is as follows:
(1) according to the method and the device, the data are analyzed and evaluated in safety, and the data meeting the safety requirements are acquired and shared, so that the safety of the data is improved, and the acquired malicious data or the data are prevented from being stolen by malicious invasion.
(2) According to the data acquisition method and device, the acquired data are stored in the data sharing service platform, the acquired data are subjected to security authentication marking, and the security authentication marking information is sent to the authorized data acquisition terminal, so that the data acquisition terminal can acquire required data after security authentication by using the security authentication marking information, the security of the data is improved, and the data are prevented from being maliciously acquired and tampered.
The above description is only an embodiment of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A data security analysis and evaluation method based on a data sharing service platform is characterized by comprising the following substeps:
acquiring data source characteristic data and historical data acquisition process characteristic data through a shared access point; wherein the data source characteristic data comprises: data source attribute characteristic data and current data source platform operation abnormal characteristic data;
calculating a data security evaluation value of the data source according to the data source characteristic data and the historical data acquisition process characteristic data;
comparing the calculated data security evaluation value of the data source with a preset security threshold, if the data security evaluation value is smaller than the preset security threshold, acquiring data of the data source from the known security sharing access point, otherwise, forbidding to acquire data of the current data source;
the calculation formula of the data safety evaluation value is as follows:
wherein,
representing a data security assessment value;
a security factor representing a shared access point for the data sources;
representing the influence weight of the data source attribute characteristic data on the safety evaluation value;
representing the influence weight of the running condition of the data source platform on the data safety evaluation value;
representing current data source platform anomaly characteristic data
；
Representing the current data source platform
An individual anomaly characteristic;
the total category number of the abnormal features representing the current data source platform;
representing the current data source platform
The number of individual anomaly features;
representing the current data source platform
A risk value for an individual anomaly characteristic;
representing the total number of data acquisition processes;
indicating the number of times the data process is interrupted;
is shown as
The interrupt risk factor for each process of acquiring data,
is shown as
Data source during data acquisition processThe number of exceptions existing in the platform;
is shown as
Acquiring a danger value of a data source platform during a data process;jis shown asjSeed data source attribute feature data;
representing the total number of types of the attribute feature data of the data source;
is shown asjInfluence weight of the attribute characteristic data of the seed data source;e=2.718；
is shown asjThe number of data in the attribute feature data of the seed data source, which belong to a malicious data list;
is shown asjThe number of data in the authorized data list in the attribute characteristic data of the seed data source;
is shown asjThe number of the attribute feature data of the seed data source, which do not belong to malicious data or authorized data;
an impact factor representing malicious feature data;
an impact factor representing authorization profile data;
influence factors of characteristic data belonging to neither malicious data nor authorized data;
the risk value calculation formula of the data source platform is as follows:
2. The data security analysis and evaluation method based on the data sharing service platform as claimed in claim 1, wherein the method further comprises:
storing the acquired data source data to a data sharing service platform, and performing security authentication marking on the acquired data;
and sending the security authentication mark information to an authorized data acquisition terminal so that the data acquisition terminal acquires the required data after the security authentication by using the security authentication mark information.
3. The data security analysis and evaluation method based on the data sharing service platform as claimed in claim 1, wherein the current data source operation abnormal feature data comprises: data loss, scrambling codes, images or text are not shown.
4. The data security analysis and evaluation method based on the data sharing service platform as claimed in claim 1, wherein the data source attribute feature data is divided into authorized feature data, malicious feature data and regular feature data.
5. The data security analysis and evaluation method based on the data sharing service platform as claimed in claim 1, wherein a pre-constructed data source platform anomaly identification model is adopted to automatically identify the anomaly characteristics existing in the current data source platform.
6. The data security analysis and evaluation method based on the data sharing service platform as claimed in claim 5, wherein the method of the pre-constructed data source platform anomaly identification model comprises:
acquiring a training data set, wherein the training data set comprises a plurality of known abnormal characteristic data;
constructing a basic convolutional neural network model;
and inputting the training data set into a basic convolutional neural network model for training to obtain a data source platform anomaly identification model.
7. The data security analysis and evaluation method based on the data sharing service platform as claimed in claim 1, wherein the storage standardization operation is performed on the acquired data source data stored in the data sharing service platform, and the storage standardization operation includes data deduplication, data completion, data normalization, data filtering, or data merging.
8. The data security analysis and evaluation method based on the data sharing service platform according to claim 1, wherein a new security access point is established according to the needs of each service system, and the new security access point is shared to authorized users so as to allow the authorized users to share the information of the platform, and the access points which have no use significance or have been replaced by the new access point are deleted.
9. A data security analysis and evaluation system based on a data sharing service platform, wherein the system is configured to perform the method of any one of claims 1 to 8, and the system comprises:
the data acquisition module is used for acquiring data source characteristic data and historical data acquisition process characteristic data through the shared access point; wherein the data source characteristic data comprises: data source attribute characteristic data and current data source platform operation abnormal characteristic data;
the data processor is used for acquiring process characteristic data according to the data source characteristic data and the historical data and calculating a data safety evaluation value of the data source;
and the data comparison module is used for comparing the calculated data security evaluation value of the data source with a preset security threshold, acquiring the data of the data source from the known security sharing access point if the data security evaluation value is smaller than the preset security threshold, and forbidding acquiring the data of the current data source if the data security evaluation value is not smaller than the preset security threshold.
10. The data security analysis and evaluation system based on the data sharing service platform as claimed in claim 9, further comprising:
the security authentication marking module is used for storing the acquired data source data to the data sharing service platform and carrying out security authentication marking on the acquired data;
and the sending module is used for sending the security authentication mark information to an authorized data acquisition terminal so that the data acquisition terminal acquires the required data after the security authentication is carried out on the security authentication mark information.
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