Real valued negative selection for anomaly detection in wireless ad hoc networks
Wireless ad hoc network is one of the network technologies that have gained lots of attention from computer scientists for the future telecommunication applications. However it has inherits the major vulnerabilities from its ancestor (i.e., the fixed wired networks) but cannot inherit all the conven...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://eprints.utm.my/1025/ http://eprints.utm.my/1025/1/MohdAizainiMaarof2006_RealValuedNegativeSelection.pdf |
| _version_ | 1848890049942257664 |
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| author | Abdul Majid, Azri Maarof, Mohd. Aizaini |
| author_facet | Abdul Majid, Azri Maarof, Mohd. Aizaini |
| author_sort | Abdul Majid, Azri |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Wireless ad hoc network is one of the network technologies that have gained lots of attention from computer scientists for the future telecommunication applications. However it has inherits the major vulnerabilities from its ancestor (i.e., the fixed wired networks) but cannot inherit all the conventional intrusion detection capabilities due to its features and characteristics. Wireless ad hoc network has the potential to become the de facto standard for future wireless networking because of its open medium and dynamic features. Non-infrastructure network such as wireless ad hoc networks are expected to become an important part of 4G architecture in the future. In this paper, we study the use of an Artificial Immune System (AIS) as anomaly detector in a wireless ad hoc network. The main goal of our research is to build a system that can learn and detect new and unknown attacks. To achieve our goal, we studied how the real-valued negative selection algorithm can be applied in wireless ad hoc network network and finally we proposed the enhancements to real-valued negative selection algorithm for anomaly detection in wireless ad hoc network. |
| first_indexed | 2025-11-15T20:35:54Z |
| format | Conference or Workshop Item |
| id | utm-1025 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:35:54Z |
| publishDate | 2004 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-10252017-09-10T06:43:24Z http://eprints.utm.my/1025/ Real valued negative selection for anomaly detection in wireless ad hoc networks Abdul Majid, Azri Maarof, Mohd. Aizaini TP Chemical technology Wireless ad hoc network is one of the network technologies that have gained lots of attention from computer scientists for the future telecommunication applications. However it has inherits the major vulnerabilities from its ancestor (i.e., the fixed wired networks) but cannot inherit all the conventional intrusion detection capabilities due to its features and characteristics. Wireless ad hoc network has the potential to become the de facto standard for future wireless networking because of its open medium and dynamic features. Non-infrastructure network such as wireless ad hoc networks are expected to become an important part of 4G architecture in the future. In this paper, we study the use of an Artificial Immune System (AIS) as anomaly detector in a wireless ad hoc network. The main goal of our research is to build a system that can learn and detect new and unknown attacks. To achieve our goal, we studied how the real-valued negative selection algorithm can be applied in wireless ad hoc network network and finally we proposed the enhancements to real-valued negative selection algorithm for anomaly detection in wireless ad hoc network. 2004 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/1025/1/MohdAizainiMaarof2006_RealValuedNegativeSelection.pdf Abdul Majid, Azri and Maarof, Mohd. Aizaini (2004) Real valued negative selection for anomaly detection in wireless ad hoc networks. In: Proceedings of the Postgraduate Annual Research Seminar 2006 (PARS 2006), 24 - 25 May 2006, Postgraduate Studies Department FSKSM, UTM Skudai. |
| spellingShingle | TP Chemical technology Abdul Majid, Azri Maarof, Mohd. Aizaini Real valued negative selection for anomaly detection in wireless ad hoc networks |
| title | Real valued negative selection for anomaly detection in wireless ad hoc networks |
| title_full | Real valued negative selection for anomaly detection in wireless ad hoc networks |
| title_fullStr | Real valued negative selection for anomaly detection in wireless ad hoc networks |
| title_full_unstemmed | Real valued negative selection for anomaly detection in wireless ad hoc networks |
| title_short | Real valued negative selection for anomaly detection in wireless ad hoc networks |
| title_sort | real valued negative selection for anomaly detection in wireless ad hoc networks |
| topic | TP Chemical technology |
| url | http://eprints.utm.my/1025/ http://eprints.utm.my/1025/1/MohdAizainiMaarof2006_RealValuedNegativeSelection.pdf |