@inproceedings{6dcb756ad87b4799a38d9d0ae8a543b1,
title = "Evolutionary Algorithms for Vulnerability Coverage",
abstract = "We present a novel idea on adequacy testing called 'vulnerability coverage.' The introduced coverage measure examines the underlying software for the presence of certain classes of vulnerabilities often found in the National Vulnerability Database (NVD) website. The thoroughness of the test input generation procedure is performed through the adaptation of evolutionary algorithms namely Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). The methodology utilizes the Common Vulnerability Scoring System (CVSS), a free and open industry standard for assessing the severity of computer system security vulnerabilities, as a fitness measure for test inputs generation. The outcomes of these evolutionary algorithms are then evaluated in order to identify the vulnerabilities that match a class of vulnerability patterns for testing purposes.",
keywords = "Genetic Algorithms, Particle Swarm Optimization, Software Vulnerability Testing, Vulnerability Coverage",
author = "Shuvalaxmi Dass and {Siami Namin}, Akbar",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020 ; Conference date: 13-07-2020 Through 17-07-2020",
year = "2020",
month = jul,
doi = "10.1109/COMPSAC48688.2020.00049",
language = "English",
series = "Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1795--1801",
editor = "Chan, {W. K.} and Bill Claycomb and Hiroki Takakura and Ji-Jiang Yang and Yuuichi Teranishi and Dave Towey and Sergio Segura and Hossain Shahriar and Sorel Reisman and Ahamed, {Sheikh Iqbal}",
booktitle = "Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020",
}