AIRSE : an approach for attack intention recognition based on similarity of evidences

• Main Authors: Ahmed, Abdulghani Ali, Noorul Ahlami, Kamarul Zaman
• Format: Conference or Workshop Item
• Language: English; English
• Published: EAI 2017
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/27010/1/AIRSE%20-%20an%20approach%20for%20attack%20intention%20recognition%20based.pdf; http://umpir.ump.edu.my/id/eprint/27010/7/AIRSE%20an%20approach%20for%20attack%20intention%20recognition%20based%20on%20similarity%20of%20evidences.pdf; http://umpir.ump.edu.my/id/eprint/27010/; http://dx.doi.org/10.4108/eai.27-2-2017.152343

Sensitive information can be exposed to critical risks when communicated through computer networks. The ability of attackers in hiding their attacks' intention obstructs existing protection systems to early prevent their attacks and avoid any possible sabotage in network systems. In this paper,...