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Harnessing ANN for a secure environment

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 th...

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Main Authors: Ling, Mee Hong *, Wan, Haslina Hassan*
Format: Article
Published: Springer Berlin 2010
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.sunway.edu.my/78/
http://dx.doi.org/10.1007/978-3-642-13318-3_67
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spelling my.sunway.eprints.782019-05-14T07:48:30Z http://eprints.sunway.edu.my/78/ Harnessing ANN for a secure environment Ling, Mee Hong * Wan, Haslina Hassan* QA75 Electronic computers. Computer science QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering 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. Springer Berlin 2010 Article PeerReviewed Ling, Mee Hong * and Wan, Haslina Hassan* (2010) Harnessing ANN for a secure environment. Lecture Notes in Computer Science, 6064. pp. 540-547. http://dx.doi.org/10.1007/978-3-642-13318-3_67
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
topic QA75 Electronic computers. Computer science
QA76 Computer software
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
TK Electrical engineering. Electronics Nuclear engineering
Ling, Mee Hong *
Wan, Haslina Hassan*
Harnessing ANN for a secure environment
description 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.
format Article
author Ling, Mee Hong *
Wan, Haslina Hassan*
author_facet Ling, Mee Hong *
Wan, Haslina Hassan*
author_sort Ling, Mee Hong *
title Harnessing ANN for a secure environment
title_short Harnessing ANN for a secure environment
title_full Harnessing ANN for a secure environment
title_fullStr Harnessing ANN for a secure environment
title_full_unstemmed Harnessing ANN for a secure environment
title_sort harnessing ann for a secure environment
publisher Springer Berlin
publishDate 2010
url http://eprints.sunway.edu.my/78/
http://dx.doi.org/10.1007/978-3-642-13318-3_67
_version_ 1644324235370299392
score 13.211869

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