An overview of neural networks use in anomaly intrusion detection systems
With the increasing number of computers being connected to the Internet, security of an information system has never been more urgent. Because no system can be absolutely secure, the timely and accurate detection of intrusions is necessary. This is the reason of an entire area of research, called In...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47676/ http://psasir.upm.edu.my/id/eprint/47676/1/An%20overview%20of%20neural%20networks%20use%20in%20anomaly%20intrusion%20detection%20systems.pdf |
| _version_ | 1848850876055158784 |
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| author | Sani, Yusuf Mohamedou, Ahmed Ali, Khalid Abdullahi Farjamfar, Anahita Azman, Mohamed Shamsuddin, Solahuddin |
| author_facet | Sani, Yusuf Mohamedou, Ahmed Ali, Khalid Abdullahi Farjamfar, Anahita Azman, Mohamed Shamsuddin, Solahuddin |
| author_sort | Sani, Yusuf |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | With the increasing number of computers being connected to the Internet, security of an information system has never been more urgent. Because no system can be absolutely secure, the timely and accurate detection of intrusions is necessary. This is the reason of an entire area of research, called Intrusion Detection Systems (IDS). Anomaly systems detect intrusions by searching for an abnormal system activity. But the main problem of anomaly detection IDS is that; it is very difficult to build, because of the difficulty in defining what is normal and what is abnormal. Neural network with its ability of learning has become one of the most promising techniques to solve this problem. This paper presents an overview of neural networks and their use in building anomaly intrusion systems. |
| first_indexed | 2025-11-15T10:13:15Z |
| format | Conference or Workshop Item |
| id | upm-47676 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:13:15Z |
| publishDate | 2009 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-476762016-07-14T04:31:50Z http://psasir.upm.edu.my/id/eprint/47676/ An overview of neural networks use in anomaly intrusion detection systems Sani, Yusuf Mohamedou, Ahmed Ali, Khalid Abdullahi Farjamfar, Anahita Azman, Mohamed Shamsuddin, Solahuddin With the increasing number of computers being connected to the Internet, security of an information system has never been more urgent. Because no system can be absolutely secure, the timely and accurate detection of intrusions is necessary. This is the reason of an entire area of research, called Intrusion Detection Systems (IDS). Anomaly systems detect intrusions by searching for an abnormal system activity. But the main problem of anomaly detection IDS is that; it is very difficult to build, because of the difficulty in defining what is normal and what is abnormal. Neural network with its ability of learning has become one of the most promising techniques to solve this problem. This paper presents an overview of neural networks and their use in building anomaly intrusion systems. IEEE 2009 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47676/1/An%20overview%20of%20neural%20networks%20use%20in%20anomaly%20intrusion%20detection%20systems.pdf Sani, Yusuf and Mohamedou, Ahmed and Ali, Khalid Abdullahi and Farjamfar, Anahita and Azman, Mohamed and Shamsuddin, Solahuddin (2009) An overview of neural networks use in anomaly intrusion detection systems. In: 2009 IEEE Student Conference on Research and Development (SCOReD 2009), 16-18 Nov. 2009, UPM, Serdang, Selangor. (pp. 89-92). 10.1109/SCORED.2009.5443289 |
| spellingShingle | Sani, Yusuf Mohamedou, Ahmed Ali, Khalid Abdullahi Farjamfar, Anahita Azman, Mohamed Shamsuddin, Solahuddin An overview of neural networks use in anomaly intrusion detection systems |
| title | An overview of neural networks use in anomaly intrusion detection systems |
| title_full | An overview of neural networks use in anomaly intrusion detection systems |
| title_fullStr | An overview of neural networks use in anomaly intrusion detection systems |
| title_full_unstemmed | An overview of neural networks use in anomaly intrusion detection systems |
| title_short | An overview of neural networks use in anomaly intrusion detection systems |
| title_sort | overview of neural networks use in anomaly intrusion detection systems |
| url | http://psasir.upm.edu.my/id/eprint/47676/ http://psasir.upm.edu.my/id/eprint/47676/ http://psasir.upm.edu.my/id/eprint/47676/1/An%20overview%20of%20neural%20networks%20use%20in%20anomaly%20intrusion%20detection%20systems.pdf |