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Evaluation effectiveness hybrid IDS using snort with naive bayes to detect attacks / Safwan Mawlood Hussein

The vast amount of attacks over the Internet makes the computer users and many organizations under potential violation of security. IDS monitor the network to observe suspicious actions going on in a computer or network devices. IDS with using one approach has ability only to detect either misuse or...

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Main Author: Hussein, Safwan Mawlood
Format: Thesis
Language:English
Published: 2012
Online Access:https://ir.uitm.edu.my/id/eprint/63971/1/63971.PDF
https://ir.uitm.edu.my/id/eprint/63971/
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spelling my.uitm.ir.639712023-08-25T08:14:30Z https://ir.uitm.edu.my/id/eprint/63971/ Evaluation effectiveness hybrid IDS using snort with naive bayes to detect attacks / Safwan Mawlood Hussein Hussein, Safwan Mawlood The vast amount of attacks over the Internet makes the computer users and many organizations under potential violation of security. IDS monitor the network to observe suspicious actions going on in a computer or network devices. IDS with using one approach has ability only to detect either misuse or anomaly attacks. This research proposed hybrid IDS by integrated Snort with Naive Bayes to enhance system security to detect attacks. This research used KDD Cup 1999 dataset for test provided hybrid IDS. Accuracy, detection rate, time to build model and false alarm rate used as parameter to measure performance between hybrid Snort with Naïve bayes, Snort with J48graft and Snort with Bayes Net. The result shows that there are slight differences between all the three paradigms 2012 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/63971/1/63971.PDF Evaluation effectiveness hybrid IDS using snort with naive bayes to detect attacks / Safwan Mawlood Hussein. (2012) Masters thesis, thesis, Universiti Teknologi Mara (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description The vast amount of attacks over the Internet makes the computer users and many organizations under potential violation of security. IDS monitor the network to observe suspicious actions going on in a computer or network devices. IDS with using one approach has ability only to detect either misuse or anomaly attacks. This research proposed hybrid IDS by integrated Snort with Naive Bayes to enhance system security to detect attacks. This research used KDD Cup 1999 dataset for test provided hybrid IDS. Accuracy, detection rate, time to build model and false alarm rate used as parameter to measure performance between hybrid Snort with Naïve bayes, Snort with J48graft and Snort with Bayes Net. The result shows that there are slight differences between all the three paradigms
format Thesis
author Hussein, Safwan Mawlood
spellingShingle Hussein, Safwan Mawlood
Evaluation effectiveness hybrid IDS using snort with naive bayes to detect attacks / Safwan Mawlood Hussein
author_facet Hussein, Safwan Mawlood
author_sort Hussein, Safwan Mawlood
title Evaluation effectiveness hybrid IDS using snort with naive bayes to detect attacks / Safwan Mawlood Hussein
title_short Evaluation effectiveness hybrid IDS using snort with naive bayes to detect attacks / Safwan Mawlood Hussein
title_full Evaluation effectiveness hybrid IDS using snort with naive bayes to detect attacks / Safwan Mawlood Hussein
title_fullStr Evaluation effectiveness hybrid IDS using snort with naive bayes to detect attacks / Safwan Mawlood Hussein
title_full_unstemmed Evaluation effectiveness hybrid IDS using snort with naive bayes to detect attacks / Safwan Mawlood Hussein
title_sort evaluation effectiveness hybrid ids using snort with naive bayes to detect attacks / safwan mawlood hussein
publishDate 2012
url https://ir.uitm.edu.my/id/eprint/63971/1/63971.PDF
https://ir.uitm.edu.my/id/eprint/63971/
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score 13.211869

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