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Detection mechanism of abnormal behavior of IP networks based on catastrophe theory

Author: LinJianRen
Tutor: YangXiaoLong
School: University of Electronic Science and Technology
Course: Communication and Information System
Keywords: Anomaly Detection Catastrophe theory The bifurcation Set curve
CLC: TP393.06
Type: Master's thesis
Year: 2009
Downloads: 110
Quote: 2
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Abstract


With the rapid advances in computer technology and network technology, network and communication facilities has long been a national essential facilities. Humanity will not only make a significant contribution to the progress of society aware of the network and communication technology, and also aware of information security issues has a significant key issues that need to be addressed by the continued progress and development of the state and society, and anomaly detection technology as an important information security technology has become an important object of study in the field of computer network technology. Catastrophe theory has been widely used in engineering fields of transportation, water conservancy, civil security, but are rarely involved in the field of information security. This article is in this context exploratory study expanded network behavior anomaly detection mechanism based on catastrophe theory. First, this paper analyzes the advantages and disadvantages of the various anomaly detection technology, and then introduces the basic principles of the catastrophe theory, overview and study objects including catastrophe theory, mutation Ziman structure, mutation characteristics, mutations in the application of the basic types and catastrophe theory and so on. In this paper, the mutation of the theoretical basis for modeling of network behavior anomaly is particularly important, so it is a theoretical basis for subsequent modeling and experimental validation. Then, the paper confirmed the feasibility of catastrophe theory for network behavior anomaly detection, and theoretical analysis to select the basic mutation model for modeling and modeling. Relationship graphic image data from the network to the various variable selection cusp catastrophe model, finally meet cusp mutation model various mutations characterized conditions, the data processing established based network abnormal behavior mutations manifolds and bifurcation set of curves. In addition, the paper based on abnormal behavior in the area of ??the catastrophe model mutation characteristics and the typical mutations convention also proposed an anomaly detection algorithm based on the network anomalies mutation model, and gives the block diagram of the algorithm and the core pseudo code. Finally, in order to verify the effectiveness of network anomaly detection model anomaly detection algorithm based on catastrophe theory through experimental network platform LAN structures and inject real network attack packets captured various network dataset modeling and comparison with other anomaly detection techniques popular detection effect, to analyze the ratio of the size of the network abnormal traffic and normal traffic the model mutation detection effect.

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