Harnessing ANN for a secure environment

Ling, Mee Hong * and Wan, Haslina Hassan* (2010) Harnessing ANN for a secure environment. Lecture Notes in Computer Science, 6064. pp. 540-547.

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Official URL: http://dx.doi.org/10.1007/978-3-642-13318-3_67


This paper explores recent works in the application of artificial neural network (ANN) for security ? namely, network security via intrusion detection systems, and authentication systems. This paper highlights a variety of approaches that have been adopted in these two distinct areas of study. In the application of intrusion detection systems, ANN has been found to be more effective in detecting known attacks over rule-based system; however, only moderate success has been achieved in detecting unknown attacks. For authentication systems, the use of ANN has evolved considerably with hybrid models being developed in recent years. Hybrid ANN, combining different variants of ANN or combining ANN with non-AI techniques, has yielded encouraging results in lowering training time and increasing accuracy. Results suggest that the future of ANN in the deployment of a secure environment may lie in the development of hybrid models that are responsive for real-world applications.

Item Type: Article
Uncontrolled Keywords: artificial neural network; security; intrusion detection systems; authentication systems
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Sunway University > School of Engineering and Technology [formerly School of Science and Technology until 2020] > Dept. Computing and Information Systems
Depositing User: Administrator Admin
Related URLs:
Date Deposited: 16 Oct 2012 03:06
Last Modified: 14 May 2019 07:48
URI: http://eprints.sunway.edu.my/id/eprint/78

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