Intelligent detection of vulnerable functions in software through neural embedding‐based code analysis

Author:

Zeng Peng1,Lin Guanjun2,Zhang Jun1ORCID,Zhang Ying1

Affiliation:

1. School of Physics and Electronic Information Yunnan Normal University Kunming 650000 China

2. School of Information Engineering Sanming University Sanming 365004 China

Publisher

Wiley

Subject

Computer Networks and Communications,Computer Science Applications

Reference44 articles.

1. Software Vulnerability Detection Using Deep Neural Networks: A Survey

2. VotipkaD StevensR RedmilesE HuJ MazurekM.Hackers vs. testers: a comparison of software vulnerability discovery processes. In: 2018 IEEE Symposium on Security and Privacy (SP). IEEE;2018:374‐391.

3. Record‐Breaking Number of Vulnerabilities Disclosed in 2017: Report.https://www.securityweek.com/record‐breaking‐number‐vulnerabilities‐disclosed‐2017‐report; February 2018. Accessed: 2018‐05‐28.

4. Data‐driven cyber security in perspective‐intelligent traffic analysis;Coulter R;IEEE Trans Cyber,2019

5. Code analysis for intelligent cyber systems: a data‐driven approach;Coulter R;Inf Sci,2020

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