论文信息 - A Real-Time Smart Agent for Network Traffic Profiling and Intrusion Detection Based on Combined Machine Learning Algorithms - 字舞流文

A Real-Time Smart Agent for Network Traffic Profiling and Intrusion Detection Based on Combined Machine Learning Algorithms

Raja Touahni | Mohamed Eddabbah | Youssef Lmoumen | Nadiya El Kamel

[1] Chen Zhang,et al. A Design of Linkage Security Defense System Based on Honeypot , 2013, ISCTCS.

[2] Raja Touahni,et al. A Smart Agent Design for Cyber Security Based on Honeypot and Machine Learning , 2020, Secur. Commun. Networks.

[3] Daniel S. Berman,et al. A Survey of Deep Learning Methods for Cyber Security , 2019, Inf..

[4] Kyumin Lee,et al. Uncovering social spammers: social honeypots + machine learning , 2010, SIGIR.

[5] Jagsir Singh,et al. A survey on machine learning-based malware detection in executable files , 2020, J. Syst. Archit..

[6] Bo Lang,et al. Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey , 2019, Applied Sciences.

[7] Nitin Naik,et al. A computational intelligence enabled honeypot for chasing ghosts in the wires , 2020 .

[8] Yang Xiang,et al. Honeypot Frameworks and Their Applications: A New Framework , 2018, SpringerBriefs on Cyber Security Systems and Networks.

[9] Gautam Srivastava,et al. KeySplitWatermark: Zero Watermarking Algorithm for Software Protection Against Cyber-Attacks , 2020, IEEE Access.