Applying some matching algorithms for sequence ignature to analyze and detect entries into system networks
Nowadays, developing and evaluating pattern matching algorithms for the identi fication of network-attack has beenconstantly evolving. In this paper, the pattern matching algorithms is deployed by emulating forms of network attacks on intrusion detec tion system together with firewall IOS/I PS. A...
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| Những tác giả chính: | , |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
Trường Đại học Đà Lạt
2014
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| Những chủ đề: | |
| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/37533 |
| Các nhãn: |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Tóm tắt: | Nowadays, developing and evaluating pattern matching algorithms for the
identi fication of network-attack has beenconstantly evolving. In this paper, the pattern
matching algorithms is deployed by emulating forms of network attacks on intrusion
detec tion system together with firewall IOS/I PS. Additionally, tools for network
monitoring such as open source munintools,are also used to analyze and evaluate the
performance of network-attack. Next, the time of pattern identification in the Snort's
machine, and the performance of Snort as well as the number of packets passing through
Snort, the amount of alerts per second, connection speed in real time, the percentage of
received data in pattern matching process, etc. are also measured based on intelligent
algorithms built in Snort. This aims to offer a method of choosing different algorithms for
different forms of intrusion detection. |
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