The detection method of Network attacks in Campus Network
- 10.2991/asei-15.2015.88How to use a DOI?
- attack detection; Hidden Markov Model; entropy
In the process of the detection method of network attacks in campus network, with current algorithm, there are defects such as high demand for data and low detection rate for model. Therefore, a network attack detection method based on improved Hidden Markov Model algorithm is proposed. Structure and characteristics of the campus network is firstly analyzed. Based on the hidden Markov model, the learning of the normal school network behavior sample is then established. On this basis, the information entropy of information theory is introduced to measure the degree of dispersion of source IP addresses. According to the change of the initial stage of Hurst index and entropy threshold is adaptive set to detect the attacks so as to complete attack behavior detection. The experimental results show that the detection method based on the improved hidden Markov model has high accuracy and robustness
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hongxu Wang PY - 2015/05 DA - 2015/05 TI - The detection method of Network attacks in Campus Network BT - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation PB - Atlantis Press SP - 436 EP - 439 SN - 2352-5401 UR - https://doi.org/10.2991/asei-15.2015.88 DO - 10.2991/asei-15.2015.88 ID - Wang2015/05 ER -