In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Software Technology Research
|
App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
1148-1153

Evaluation of program vulnerability factor based on graph neural network

Huang Sulei
Ma Junchi
Duan Zongtao
School of Computer Engineering, Chang'an University, Xi'an 710064, China
DOI: 10.19734/j.issn.1001-3695.2022.08.0435

Abstract

Soft error can lead to silent data corruption(SDC) that affects the reliability of computer system. One prerequisite to prevent SDC is calculating the vulnerability factor of the target program. Traditional methods are not capable of extracting program semantics, which led to inferior of the fault propagation mechanism. This paper proposed a program vulnerability factor evaluation method based on graph attention network(EpicGNN). EpicGNN used structural multi-head self-attention to quantify importance of fault propagations from one node to its neighbors and further to graph, different types of edges represent different instruction relationships. Then it aggregated the information of node and graph to update the representation. It applied a regression model to predict vulnerability factor. Experimental on spec2000, spec2006, rodinia and other datasets achieve 0.037~0.258 lower average absolute error compared with traditional methods. Moreover, EpicGNN obtains good performance on unseen graphs.

Foundation Support

国家自然科学基金资助项目(62002030)
陕西省重点研发资助项目(2019GY-006,2019ZDLGY17-08)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.08.0435
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Software Technology Research
Pages: 1148-1153
Serial Number: 1001-3695(2023)04-030-1148-06

Publish History

[2022-11-08] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

黄甦雷, 马骏驰, 段宗涛. 基于图神经网络的程序脆弱性指数评估方法 [J]. 计算机应用研究, 2023, 40 (4): 1148-1153. (Huang Sulei, Ma Junchi, Duan Zongtao. Evaluation of program vulnerability factor based on graph neural network [J]. Application Research of Computers, 2023, 40 (4): 1148-1153. )

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)