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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3704-3707,3711

Static detection of malware in container based on LSTM-CNN

Jin Yilinga,b
Chen Xingshua,b
Wang Yulonga,b
a. College of Cybersecurity, b. Research Institute of Cybersecurity, Sichuan University, Chengdu 610065, China
DOI: 10.19734/j.issn.1001-3695.2019.08.0565

Abstract

Aiming at the problem of less research and low detection rate of malware detection in the current container environment, this paper proposed a static detection method of malware in container based on LSTM-CNN. The purpose of the method is to detect malware before it runs, to block its attack behavior from the source, and to reduce the performance loss brought by the detection process to the operation of container. The method obtained the software to be tested in the container without agent, and extracted API(application programming interface) call sequences as program behavior data, used word2vec model to vectorize API call sequences, and extracted the semantic information and multi-dimensional local features based on LSTM and CNN respectively to detect malware. This paper implemented the method in container environment and tested on an open sourced dataset VirusShare, the results show that the method can achieve a detection rate of 99.76% and the false alarm rate is less than 1%, which is superior to other similar methods.

Foundation Support

国家自然科学基金青年科学基金资助项目(61802270,61802271)
四川省重点研发资金资助项目(2018G20100)
四川省科技支撑计划资金资助项目(2016GZ0038)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.08.0565
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Technology of Information Security
Pages: 3704-3707,3711
Serial Number: 1001-3695(2020)12-036-3704-04

Publish History

[2020-12-05] Printed Article

Cite This Article

金逸灵, 陈兴蜀, 王玉龙. 基于LSTM-CNN的容器内恶意软件静态检测 [J]. 计算机应用研究, 2020, 37 (12): 3704-3707,3711. (Jin Yiling, Chen Xingshu, Wang Yulong. Static detection of malware in container based on LSTM-CNN [J]. Application Research of Computers, 2020, 37 (12): 3704-3707,3711. )

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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