Technology of Information Security
|
232-236

Attacker portrait construction based on large data and graph community clustering algorithms

Huang Zhihonga,b
Zhang Boa,b
a. Modern Education & Technology Center, b. Network Security Emergency Response Center, South China Agricultural University, Guangzhou 510642, China

Abstract

In order to quickly and accurately identify real attack events in massive, multi-source and heterogeneous network threat intrusion logs, and discover attackers, and construct their characteristic portraits, this paper proposed a method to construct attacker portraits based on BDSAL. It defined a paradigm model of security events according to CAPEC, and rapidly normalized the multi-source heterogeneous log into a paradigm-based security event combined with the implementation of large data flow message queue. By extracting and expanding the features of security events, it generated event feature maps. According to the characteristics of space-time and attack patterns, it used the community discovery algorithm to cluster the feature maps and find the attackers. Finally, it verifies the feasibility and validity of the proposed method by the real attack and defense data of the laboratory.

Foundation Support

2018年教育部产学合作协同育人项目(201802076025)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0621
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 1
Section: Technology of Information Security
Pages: 232-236
Serial Number: 1001-3695(2021)01-046-0232-05

Publish History

[2021-01-05] Printed Article

Cite This Article

黄志宏, 张波. 基于大数据和图社群聚类算法的攻击者画像构建 [J]. 计算机应用研究, 2021, 38 (1): 232-236. (Huang Zhihong, Zhang Bo. Attacker portrait construction based on large data and graph community clustering algorithms [J]. Application Research of Computers, 2021, 38 (1): 232-236. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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