Time sequence evolution network security early warning method for cloud platform

Abstract

The invention relates to a time sequence evolution network security early warning method for a cloud platform, which comprises the following steps: an event dimension of cloud computing service security early warning is determined and reduced based on security event time sequence evolution analysis on the basis of defining the properties and characteristics of cloud computing service security events by event evolution analysis and dimension reduction; security event deep early warning modeling based on event grouping is characterized in that associated event groups with similar behavior modes are divided based on event similarity analysis, and events are classified and explained by establishing a deep learning network with multiple conversion stages in a layered manner; multi-dimensional model application and optimization: through typical cloud platform data analysis and optimization, the evolution of multi-dimensional security events is analyzed and predicted from multiple security event dimensions to form judgment and prediction of the events, the stability and prediction quality of cloud platform network security early warning are improved; the problems of rapid discovery and early warning of security threats in mass complex events of a cloud platform are solved.

Description

technical field [0001] The invention belongs to the technical field of cloud computing, and in particular relates to a time series evolution network security early warning method of a cloud platform. Background technique [0002] As a new service model, cloud computing brings new challenges while providing convenience and low-cost features. Security issues are the first to bear the brunt, and with the continuous popularization and application of cloud computing services, its importance has shown a rapid upward trend, and has become an important factor restricting the development of cloud computing platforms. In recent years, many major security incidents at home and abroad have fully proved the reality and harm of the above-mentioned security risks. According to statistics, the loss caused by cyber attacks in 2017 alone has reached 1 trillion US dollars, more than three times that of natural disasters. A number of cloud computing service security incidents have caused pote...

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Problems solved by technology

[0005] In order to overcome the above-mentioned deficiencies in the prior art, the object of the present invention is to propose a time series evolution network security early warning method for a cloud platform, to realize the time series evolution security warning applicable to a large number of complex security events on the cloud platform, by determining the key impact of the security event Dimension of factors, analyze the similarity between the characteristics and behaviors of events, screen and form related event groups, build early warning models and apply verification, and solve the problem of rapid discovery and early warning of security threats in massive and complex events on the cloud platform

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