Nabi, Faisal and Yong, Jianming and Tao, Xaiohui 
ORCID: https://orcid.org/0000-0002-0020-077X
(2020)
Classification of logical vulnerability based on group attacking method.
In: 11th International Conference on Ambient Systems, Networks and Technologies (ANT 2020), 6-9 April 2020, Warsaw Poland.
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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.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Conference Program Chairs. |
| Faculty/School / Institute/Centre: | Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021) |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -) |
| Date Deposited: | 05 May 2020 06:40 |
| Last Modified: | 05 Jun 2020 05:17 |
| Uncontrolled Keywords: | security dimensions, CBS application, group attack method, application logic, attack classification |
| Fields of Research (2008): | 08 Information and Computing Sciences > 0803 Computer Software > 080303 Computer System Security |
| Fields of Research (2020): | 46 INFORMATION AND COMPUTING SCIENCES > 4604 Cybersecurity and privacy > 460499 Cybersecurity and privacy not elsewhere classified |
| Socio-Economic Objectives (2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences |
| Identification Number or DOI: | https://doi.org/10.1016/j.procs.2020.03.109 |
| URI: | http://eprints.usq.edu.au/id/eprint/37984 |
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