Network security event detection method based on block chain technology

Abstract

The invention discloses a network security event detection method based on a block chain technology, which comprises the following operation steps: S1, serializing data, and storing the serialized detection data in a data block chain; S2, realizing signal connection between the detection personnel and the detection data, and transmitting the detection data in real time; and S3, after external dataform simulation signal detection to access the computer, the detection data performs comparative analysis on the IP address and the data access model of the access signal. Through the analog signal,the real-time recording signal and the real-time comparative analysis alarm, abnormal signals are processed in time, the invasion probability of an external access end to a user network is avoided, and the use security of the method is improved.

Description

technical field [0001] The invention relates to the technical field of network security, in particular to a method for detecting network security events based on block chain technology. Background technique [0002] With the rapid development of the Internet in recent years, more and more people choose to shop and consume online. When people shop online, they will compare and refer to the ratings and rankings of commodities and virtual products or product reviews written by other users. Because people rely on these ratings and opinions, and as the problem of information overload becomes more and more serious, thus promoting Developed recommender systems for automation and personalization. However, due to the unfair competition of business or the incentive of natural profit, various biased online reviews are left for extreme ratings in product competitions, resulting in the so-called "spoofing attacks". Malicious users take advantage of the openness of collaborative filteri...

AI Technical Summary

Problems solved by technology

[0003] Security incidents also occur frequently when people use mobile applications, such as data leakage, hacker attacks, infrastructure attacks, discovery of security vulnerabilities, malware, industry financing investment acquisitions, etc. Traditionally, network security incidents are handled independently , which will lead to the limitation of processing speed and processing capacity, and lack of supervision on the processing process, resulting in improper handling of network security incidents or low processing efficiency, which will bring huge losses to users and society