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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2012
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my-uitm-ir.639712023-08-25T08:14:30Z Evaluation effectiveness hybrid IDS using snort with naive bayes to detect attacks / Safwan Mawlood Hussein 2012 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 https://ir.uitm.edu.my/id/eprint/63971/ https://ir.uitm.edu.my/id/eprint/63971/1/63971.PDF text en public masters Universiti Teknologi Mara (UiTM) Faculty of Computer and Mathematical Sciences |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| 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 |
| qualification_level |
Master's degree |
| 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 |
| granting_institution |
Universiti Teknologi Mara (UiTM) |
| granting_department |
Faculty of Computer and Mathematical Sciences |
| publishDate |
2012 |
| url |
https://ir.uitm.edu.my/id/eprint/63971/1/63971.PDF |
| _version_ |
1783735374641627136 |