Information safety anomaly sensing platform based on data mining and analysis of big data

Abstract

The invention discloses an information safety anomaly sensing platform based on data mining and analysis of big data. Comprising an information transmission flow direction collection unit, an information transmission flow collection unit, a database, a data calling unit, a transaction environment simulation test unit, a transaction channel establishment unit, an information source and information sink positioning unit, a transmission deviation analysis unit, an abnormal equipment sensing unit, an information safety abnormity analysis unit and an abnormity processing unit. Information transmission flow direction and flow are called through big data, and are compared with information transmission flow direction and flow in a transaction simulation test to analyze deviation of data flow direction and flow when information transmission safety is sensed to be abnormal; according to the method, the attack mode in the transaction process is predicted by analyzing the transmission direction of the data stream and the change of the data flow in the e-commerce transaction process, and protection measures are taken for attacks in different modes, so that the information safety in the e-commerce transaction process is guaranteed to the greatest extent, and the information value is maintained.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to an information security anomaly perception platform based on data mining and analysis of big data. Background technique [0002] With the development of science and technology, information security issues are becoming more and more prominent, especially in the process of e-commerce transactions. The main problem faced by e-commerce transactions is that transaction information is subject to unknown attacks during transmission, and information is maliciously tampered and replaced. and leaks, with the popularization of electronic transactions, insecure factors in the transaction process are increasing day by day. When information security is abnormal, it is necessary to be aware of it in time. The attack methods received during the information transmission process are not very effective, and cannot help technicians solve information security problems in a timely manner. The ultima...

AI Technical Summary

Problems solved by technology

[0002] With the development of science and technology, information security issues are becoming more and more prominent, especially in the process of e-commerce transactions. The main problem faced by e-commerce transactions is that transaction information is subject to unknown attacks during transmission, and information is maliciously tampered and replaced. and leaks, with the popularization of electronic transactions, the insecurity factors in the transaction process are increasing day by day. When information security is abnormal, it needs to be detected in time. The attack methods encountered during information transmission are of little use, and cannot help technicians solve information security problems in a timely manner. The ultimate goal of perceiving information security anomalies is to fundamentally solve information security problems. When anomalies occur in information security, it is helpful to analyze and confirm the attack methods encountered in the transaction process first, which is beneficial to prevent and avoid different types of attacks in a targeted manner. In addition, after the security anomalies are detected, the abnormal processing can be performed synchronously, which can effectively ensure information security and maintain Various security properties and values ​​of information transmission

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