Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017)

Survey of Software Vulnerability Discovery Technology

Authors
Wang Wei
Corresponding Author
Wang Wei
Available Online July 2017.
DOI
10.2991/snce-17.2017.3How to use a DOI?
Keywords
Vulnerability discovery; Zzing; Software security
Abstract

The 21st century is the information age. The rapid development of computer technology supports the rapid development of the information age. With the rapid spread of computers and networks, more and more software products play an important role in people's daily life. In computer security[1], a vulnerability[2] is a weakness which allows an attacker to reduce a system's information assurance. Vulnerability is the intersection of three elements: a system susceptibility or flaw, attacker access to the flaw, and attacker capability to exploit the flaw. Due to software developer's negligence in the development process of software or programming language limitations, software products often have security and functional flaws which damage software, known as software vulnerabilities. Software vulnerability discovery aims at discovering vulnerabilities that already exist in software, and then developers patch vulnerabilities to eliminate damages brought to software products. Now, vulnerability discovery ,in the field of information security, is becoming increasingly important. This paper mainly introduces the main methods of vulnerability discovery.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/snce-17.2017.3
ISSN
2352-538X
DOI
10.2991/snce-17.2017.3How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wang Wei
PY  - 2017/07
DA  - 2017/07
TI  - Survey of Software Vulnerability Discovery Technology
BT  - Proceedings of the 2017 7th International Conference on Social Network, Communication and Education (SNCE 2017)
PB  - Atlantis Press
SP  - 9
EP  - 13
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-17.2017.3
DO  - 10.2991/snce-17.2017.3
ID  - Wei2017/07
ER  -