Classification of Logical Vulnerability Based on Group Attacking Method
Paper
Paper/Presentation Title | Classification of Logical Vulnerability Based on Group Attacking Method |
---|---|
Presentation Type | Paper |
Authors | Nabi, Faisal (Author), Yong, Jianming (Other) and Tao, Xaiohui (Other) |
Journal or Proceedings Title | Procedia Computer Science |
ERA Conference ID | 72839 |
Journal Citation | 170, pp. 923-928 |
Number of Pages | 6 |
Year | 2020 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 1877-0509 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.procs.2020.03.109 |
Web Address (URL) of Paper | https://www.sciencedirect.com/science/article/pii/S1877050920305470 |
Conference/Event | 11th International Conference on Ambient Systems, Networks and Technologies (ANT 2020) |
International Conference on Ambient Systems, Networks and Technologies (ANT) | |
Event Details | 11th International Conference on Ambient Systems, Networks and Technologies (ANT 2020) Event Date 06 to end of 09 Apr 2020 Event Location Warsaw Poland |
Event Details | International Conference on Ambient Systems, Networks and Technologies (ANT) ANT |
Abstract | New advancement in the field of e-commerce software technology has also brought many benefits, at the same time developing process always face different sort of problems from design phase to implement phase. Software faults and defects increases the issues of reliability and security, that’s reason why a solution of this problem is required to fortify these issues. The paper addresses the problem associated with lack of clear component-based web application related classification of logical vulnerabilities through identifying Attack Group Method by categorizing two different types of vulnerabilities in component-based web applications. A new classification scheme of logical group attack method is proposed and developed by using a Posteriori Empirically methodology. |
Keywords | security dimensions, CBS application, group attack method, application logic, attack classification |
ANZSRC Field of Research 2020 | 460499. Cybersecurity and privacy not elsewhere classified |
Byline Affiliations | School of Management and Enterprise |
School of Sciences | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5981/classification-of-logical-vulnerability-based-on-group-attacking-method
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