Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/154019
DC Field | Value | |
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dc.title | SELF-ORGANIZING MAPS FOR INTRUSION/ANOMALY DETECTION | |
dc.contributor.author | WEI LUYUAN | |
dc.date.accessioned | 2019-05-10T07:27:30Z | |
dc.date.available | 2019-05-10T07:27:30Z | |
dc.date.issued | 2003 | |
dc.identifier.citation | WEI LUYUAN (2003). SELF-ORGANIZING MAPS FOR INTRUSION/ANOMALY DETECTION. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/154019 | |
dc.description.abstract | In this report, a complete procedure for detecting anomalies in network traffic data is introduced. As the kernel of this procedure, Self Organizing Map is applied as an unsupervised learning method. Useful features for detecting certain types of attacks are discussed and tested. The method for selecting these features is also introduced. The result shows that Self Organizing Map is suitable to be applied on the areas of detecting anomalies on the TCP layer, and it is also promising to be applied to detect more specific anomalies on application layer protocols such as HTTP as well as lower level protocols such as ICMP. | |
dc.source | SMA BATCHLOAD 20190422 | |
dc.subject | Intrusion Detection | |
dc.subject | Self Organizing Map | |
dc.subject | Unsupervised Learning | |
dc.subject | TCP | |
dc.type | Thesis | |
dc.contributor.department | SINGAPORE-MIT ALLIANCE | |
dc.contributor.supervisor | ALVIN CHAN | |
dc.contributor.supervisor | TAN KIAN LEE | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF SCIENCE IN COMPUTER SCIENCE | |
dc.description.other | Dissertation Supervisors: 1. Alvin Chan, DSO National Laboratories. 2. Assoc. Prof. Tan Kian Lee, SMA Fellow, National University of Singapore. | |
Appears in Collections: | Master's Theses (Restricted) |
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File | Description | Size | Format | Access Settings | Version | |
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WEI LUYUAN_Internship Project Report Wei Luyuan SMA CS 2003.pdf | 229.85 kB | Adobe PDF | RESTRICTED | None | Log In |
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