SAT : Integrated Multi-agent Blackbox Security Assessment Tool using machine learning

Jahanzeb Shahid, Zia Muhammad, Zafar Iqbal, Muhammad Sohaib Khan, Yousef Amer, Weisheng Si

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

5 Citations (Scopus)

Abstract

![CDATA[The widespread adoption of eCommerce, iBanking, and eGovernment institutions has resulted in an exponential rise in the use of web applications. Due to a large number of users, web applications have become a prime target of cybercriminals who want to steal Personally Identifiable Information (PII) and disrupt business activities. Hence, there is a dire need to audit the websites and ensure information security. In this regard, several web vulnerability scanners are employed for vulnerability assessment of web applications but attacks are still increasing day by day. Therefore, a considerable amount of research has been carried out to measure the effectiveness and limitations of the publicly available web scanners. It is identified that most of the publicly available scanners possess weaknesses and do not generate desired results. In this paper, the evaluation of publicly available web vulnerability scanners is performed against the top ten OWASP11OWASP® The Open Web Application Security Project (OWASP) is an online community that produces comprehensive articles, documentation, methodologies, and tools in the arena of web and mobile security. vulnerabilities and their performance is measured on the precision of their results. Based on these results, we proposed an Integrated Multi-Agent Blackbox Security Assessment Tool (SAT) for the security assessment of web applications. Research has proved that the vulnerabilities assessment results of the SAT are more extensive and accurate.]]
Original languageEnglish
Title of host publicationProceedings of the 2nd IEEE International Conference on Artificial Intelligence (ICAI), 30th - 31st March 2022, Islamabad, Pakistan
PublisherIEEE
Pages105-111
Number of pages7
ISBN (Print)9781665468961
DOIs
Publication statusPublished - 2022
EventIEEE International Conference on Artificial Intelligence -
Duration: 30 Mar 2022 → …

Conference

ConferenceIEEE International Conference on Artificial Intelligence
Period30/03/22 → …

Fingerprint

Dive into the research topics of 'SAT : Integrated Multi-agent Blackbox Security Assessment Tool using machine learning'. Together they form a unique fingerprint.

Cite this