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Technology of Information Security
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1860-1864

Towards discovering compromised hosts with temporal-spatial behaviors in advanced persistent threats

Sun Yiding
Li Qiang
College of Computer Science & Technology, Jilin University, Changchun 130012, China

Abstract

APT has caused great damage to enterprises and government. However, most detection methods do not take into account the two characteristics, that is temporal and spatial. The invaded host will produce temporal abnormal behaviors different from the usual. In terms of spatial, the invaded host will often continue to infiltrate other hosts. Therefore, this paper proposed the method to detect APT compromised hosts based on temporal- spatial characteristics. This method targeted the abnormal authentication behavior in APT. It constructed the host authentication graph, and extracted some important features from the graph. This method used LSTM to extract the temporal-based features of the host, built the host association graph and used GAT to obtain the spatial features and relationships between the hosts. It used neural network to extract features without manual feature selection. The method is tested on public data LANL, and the F1 score reaches 0.979.

Foundation Support

国家自然科学基金资助项目(62072208,61772229)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0598
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Technology of Information Security
Pages: 1860-1864
Serial Number: 1001-3695(2022)06-045-1860-05

Publish History

[2022-01-11] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

孙一丁, 李强. 面向APT时空行为的受损主机检测 [J]. 计算机应用研究, 2022, 39 (6): 1860-1864. (Sun Yiding, Li Qiang. Towards discovering compromised hosts with temporal-spatial behaviors in advanced persistent threats [J]. Application Research of Computers, 2022, 39 (6): 1860-1864. )

About the Journal

  • 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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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