A Novel Traffic Analysis Model for Botnet Discovery in Dynamic Network

Author:

Panimalar P.,Rameshkumar K.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference18 articles.

1. Feily, M.; Shahrestani, A.: A survey of botnet and botnet detection. In: Proceedings of the Third International Conference of IEEE on Emerging Security Information Systems and Technologies, pp. 268–273 (2009)

2. Wang, P.; Sparks, S.; Zou, C.C.: An advanced hybrid peer-to-peer botnet. IEEE Trans. Dependable Secure Comput. 7(2), 113–127 (2010)

3. Panimalar, P.; Rameshkumar, K.: Time orient multi-model traffic analysis for efficient botnet detection in internet communication. Int. J. Appl. Eng. Res. 10(21), 42183–42188 (2015)

4. Huang, P.; Chen, H.; Xing, G.; Tan, Y.: SGF: a state-free gradient-based forwarding protocol for wireless sensor networks. ACM Trans. Sens. Netw. (TOSN) 5(2), 14 (2009)

5. Syed Saood, Z.; et al.: Case retrieval phase of case-based reasoning technique for medical diagnosis. World Appl. Sci. J. 32(3), 451–458 (2014)

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1. Case-Based Reasoning and Computer Vision for Cybersecurity;Advances in Information Security, Privacy, and Ethics;2024-02-23

2. BotDefender: A Collaborative Defense Framework Against Botnet Attacks using Network Traffic Analysis and Machine Learning;Arabian Journal for Science and Engineering;2023-06-13

3. A novel and highly efficient botnet detection algorithm based on network traffic analysis of smart systems;International Journal of Distributed Sensor Networks;2022-03

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