Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory
In this paper, software system, design theories and human immune system (HIS) features are used to introduce a novel algorithm for the problem of preventing intrusions and healing the damage which they cause. The HIS features are analyzed and modelled to monitor network systems as to whether th...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/2291/ http://scholars.utp.edu.my/id/eprint/2291/1/getPDF.pdf |
| _version_ | 1848659225425739776 |
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| author | Muna, Elsadig Azween, Abdullah |
| author_facet | Muna, Elsadig Azween, Abdullah |
| author_sort | Muna, Elsadig |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | In this paper, software system, design theories and
human immune system (HIS) features are used to introduce a
novel algorithm for the problem of preventing intrusions and
healing the damage which they cause. The HIS features are
analyzed and modelled to monitor network systems as to
whether the inline activities are behaving abnormally or being
attacked. The abnormal activities are prevented and healed by
the presented algorithms. We show how the use of biological
immune systems, which incorporate an innate, adaptive
immune system and self-healing mechanism, can reduce the
number of false alerts and heal the damage caused by intrusion.
This autonomous system improves the performance of the
current Intrusion Prevention System (IPS) and carries on
system continuity by using the Self–Healing (SH) mechanism. |
| first_indexed | 2025-11-13T07:27:03Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:2291 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:27:03Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:22912017-01-19T08:24:53Z http://scholars.utp.edu.my/id/eprint/2291/ Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory Muna, Elsadig Azween, Abdullah QA75 Electronic computers. Computer science In this paper, software system, design theories and human immune system (HIS) features are used to introduce a novel algorithm for the problem of preventing intrusions and healing the damage which they cause. The HIS features are analyzed and modelled to monitor network systems as to whether the inline activities are behaving abnormally or being attacked. The abnormal activities are prevented and healed by the presented algorithms. We show how the use of biological immune systems, which incorporate an innate, adaptive immune system and self-healing mechanism, can reduce the number of false alerts and heal the damage caused by intrusion. This autonomous system improves the performance of the current Intrusion Prevention System (IPS) and carries on system continuity by using the Self–Healing (SH) mechanism. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2291/1/getPDF.pdf Muna, Elsadig and Azween, Abdullah (2010) Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory. In: 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010, Singapore. |
| spellingShingle | QA75 Electronic computers. Computer science Muna, Elsadig Azween, Abdullah Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory |
| title | Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory |
| title_full | Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory |
| title_fullStr | Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory |
| title_full_unstemmed | Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory |
| title_short | Intrusion Prevention and Self-Healing Algorithms Inspired by Danger Theory |
| title_sort | intrusion prevention and self-healing algorithms inspired by danger theory |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/2291/ http://scholars.utp.edu.my/id/eprint/2291/1/getPDF.pdf |