Implementing file and real time based intrusion detections in secure direct method using advanced honeypot

Author:

Veena K.,Meena K.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference18 articles.

1. Misra, R., Renu, D.: Cyber crime investigation and network forensic system using honeypot. Int. J. Latest Trends Eng. Technol. 1, 34–40 (2012)

2. Li, Z.C., Li, X.J., Gong, L , Computer forensics system based on honeypot. In: Proceedings of the Third International Symposium on Computer Science and Computational Technology (ISCSCT’10), August, pp. 336–337 (2010)

3. Vasilomanolakis, E., Karuppayah, S., MÜhlhäuser, M., Fischer, M.: Taxonomy and survey of collaborative intrusion detection. ACM Comput. Surv. 47(4), 55 (2015)

4. Mairh, A., Barik, D., Verma, K., Jena, D.: Honeypot in network security: a survey. In: Proceedings of the International Conference on Communication, Computing & Security. ACM, 2011, pp. 600–605 (2011)

5. Bringer, M.L., Chelmecki, C.A., Fujinoki, H.: A survey: Recent advances and future trends in honeypot research. Int. J. 4, 63 (2012)

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1. An Advanced Intrusion Detection Solution for Networks based on Honeypot Servers;2023 International Conference on Inventive Computation Technologies (ICICT);2023-04-26

2. Deep reinforcement learning for building honeypots against runtime DoS attack;International Journal of Intelligent Systems;2021-10-20

3. Performance evaluation of cybercriminal detection through cluster computing techniques;Journal of Ambient Intelligence and Humanized Computing;2019-12-10

4. Automatic Identification of Honeypot Server Using Machine Learning Techniques;Security and Communication Networks;2019-09-22

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