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Attack Intention Recognition: A Review

Ahmed, Abdulghani Ali and Noorul Ahlami, Kamarul Zaman (2017) Attack Intention Recognition: A Review. International Journal of Network Security, 19 (2). pp. 244-250. ISSN 1816-353X (Print); 1816-3548 (Online)

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Abstract

Sensitive information faces critical risks when it is transmitted through computer networks. Existing protection systems are still limited in their capacities to ensure network information has sufficient confidentiality, integrity, and availability. The rapid development in network technologies has only helped increase network attacks and hide their malicious intent. This paper analyzes attack types and classifies them according to their intent. A causal network approach is used to recognize attackers’ plans and predict their intentions. Attack intention is the ultimate attack goal which the attacker attempts to achieve by executing various methods or techniques, and recognizing it will help security administrators select an appropriate protection system.

Item Type: Article
Uncontrolled Keywords: Attack intention recognition, causal network approach, cyber security, network forensics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 05 Oct 2016 05:58
Last Modified: 21 Nov 2017 06:05
URI: http://umpir.ump.edu.my/id/eprint/14396
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