SWIM: An Effective Method to Perceive Cyberspace Situation from Honeynet
Author:
Funder
National Natural Science Foundation of China (CN)
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/article/10.1007/s13369-017-2904-5/fulltext.html
Reference23 articles.
1. Spitzner, L.: The honeynet project: trapping the hackers. IEEE Secur. Priv. 1(2), 15–23 (2003)
2. Olagunju A.O.; Samu F.: In search of effective honeypot and honeynet systems for real-time intrusion detection and prevention. In: Proceedings of the 5th Annual Conference on Research in Information Technology. Boston, pp. 41–46 (2016)
3. Thonnarda, O.; Dacierb, M.: A framework for attack patterns’ discovery in honeynet data. Digital Investig. 5, 128–139 (2008)
4. Kaur, R.; Nagpal, E.S.; Chamotra, S.: Malicious traffic detection in a private organizational network using honeynet system. In: 2015 Annual IEEE India Conference (INDICON), 176–182. IEEE Press, New York (2015)
5. Jiang, C.B.; Liu, I.; Chung, Y.N.: Novel intrusion prediction mechanism based on honeypot log similarity. Int. J. Netw. Manag. 26(3), 156–175 (2016)
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