Technology of Information Security
|
1829-1836

Mining of dual data flow graph combined with sequence information and detection method of malwares

Lu Faming1
Jiang Tingting1
Bao Yunxia1
Cui Haidong2
Cai Chaoyang1
1. College of Computer Science & Engineering, Shandong University of Science & Technology, Qingdao Shandong 266590, China
2. Taishan Information Technology Co. , Ltd. , Tai'an Shandong 271000, China

Abstract

The malware detection methods based on data flow graph only focused on the data flow information caused by API calls, which ignored the sequence information among API calls. To address this issue, this paper integrated the sequence information of API calls into data flow graph, put forward the concept of dual data flow graph combined with sequence information, gave the method of constructing event logs from the API call sequence, and proposed the mining method of dual data flow graph combined with sequence information. Finally, this paper proposed an improved graph convolution network to classify dual data flow graph combined with sequential information. The classification result could be used to detect and classify malwares. The experimental results show that the proposed method has better detection accuracy than traditional methods based on data flow graphs.

Foundation Support

国家自然科学基金资助项目(61602279)
山东省泰山学者工程专项基金资助项目(ts20190936)
山东省高等学校青创科技支持计划资助项目(2019KJN024)
山东省自然科学基金智慧计算联合基金资助项目(ZR2021LZH004)
青岛市西海岸新区2022年“揭榜挂帅”技术攻关项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.10.0561
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 6
Section: Technology of Information Security
Pages: 1829-1836
Serial Number: 1001-3695(2023)06-037-1829-08

Publish History

[2023-01-18] Accepted Paper
[2023-06-05] Printed Article

Cite This Article

鲁法明, 江婷婷, 包云霞, 等. 恶意软件的时序对偶数据流图挖掘及其检测方法 [J]. 计算机应用研究, 2023, 40 (6): 1829-1836. (Lu Faming, Jiang Tingting, Bao Yunxia, et al. Mining of dual data flow graph combined with sequence information and detection method of malwares [J]. Application Research of Computers, 2023, 40 (6): 1829-1836. )

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.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)