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Research on Network Communication Signature Generation Technology of Trojan Horses

Author: XingYunDong
Tutor: LiuShengLi
School: PLA Information Engineering University
Course: Computer Software and Theory
Keywords: Malicious code Trojan horse Network feature extraction Multiple sequence alignment Honeypot
CLC: TP393.08
Type: Master's thesis
Year: 2010
Downloads: 206
Quote: 1
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Abstract


In recent years, the Trojan horse type of malicious programs on the dangers of network security increasing this problem, this study analyzed the Trojans network communication forms and characteristics of Trojan detection results in order to improve network security protection system, in combination with improved multi-sequence alignment algorithm, the design and implementation of a the Trojan network communication feature extraction system, the system improves the analysis of the degree of automation and the accuracy of detection of Trojan Trojan communication features. First, the current mainstream malicious code network characteristic extraction techniques, including the characteristics of such technology, the implementation process and the effect of the feature extraction and analysis of the advantages and disadvantages of these feature extraction techniques as well as the applicability of on mumalei malicious code, as The paper systematically designed to provide an important reference. Secondly, the study of the principles and techniques of the Trojan horse, the focus of the communication mechanism of the Trojan horse, especially remote-controlled Trojan communication technology, discussed the the noise causes of the Trojan network feature extraction process and form. Studied and of bioinformatics is widely used as a sequence alignment algorithm, Trojans network communication features double global sequence alignment algorithm and the corresponding expansion, and on this basis, we propose a packet-based iterative Hierarchical multiple sequence alignment of the new algorithm. The algorithm effectively reduce the ratio of the sequence number of times, especially in the the noise sequence number is less, improve the effect is particularly evident. Again, according to the network feature extraction of malicious programs and Trojans communications technology for the Trojan network communication features, design Trojans network communication feature extraction system. The system mainly consists of data capture module, the Trojan network communication feature extraction module, feature conversion modules and rules to select modules. Which in the feature extraction module, the use the extended global sequence alignment algorithms and hierarchical-based group iterative multiple sequence comparison algorithm, the guarantee feature extraction effect under the premise of improving the efficiency of the algorithm. Combined with Trojans forms of communication and characteristics of the the trojan network traffic characteristics combined alarm mechanism is designed to improve the accuracy of the target network Trojan detection. In this paper, the design of feature extraction system was tested, the results prove the effectiveness of the system. Finally, pointed out that the system needs to be improvement in the future research direction.

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