The Impact of the Observation Period for Detecting P2P Botnets on the Real Traffic Using BotCluster
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-13-9190-3_8
Reference25 articles.
1. Wang, C.-Y., et al.: BotCluster: a session-based P2P botnet clustering system on NetFlow. Comput. Netw. 145, 175–189 (2018)
2. Wang, P., Wang, F., Lin, F., Cao, Z.-Z., et al.: Identifying peer-to-peer botnets through periodicity behavior analysis. In: 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) (2018)
3. Saad, S., et al.: Detecting P2P botnets through network behavior analysis and machine learning. In: 9th Annual International Conference on Privacy Security and Trust (PST), pp. 174–180 (2011)
4. Sengar, B., Padmavathi, B.: P2P bot detection system based on mapreduce. In: 2017 International Conference on Computing Methodologies and Communication (ICCMC) (2017)
5. Mane, Y.D.: Detect and deactivate P2P Zeus bot. In: 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (2017)
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