Modeling and analyzing attacker behavior in IoT botnet using temporal convolution network (TCN)

Traditional reactive approach of blacklisting botnets fails to adapt to the rapidly evolving landscape of cyberattacks. An automated and proactive approach to detect and block botnet hosts will immensely benefit the industry. Behavioral analysis of attackers is shown to be effective against a wide v...

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Bibliographic Details
Main Authors:	Sadique, F. (Author), Sengupta, S. (Author)
Format:	Article
Language:	English
Published:	Elsevier Ltd 2022
Subjects:	Attacker behavior modeling Behaviour models Botnet Command Convolution Convolutional networks Convolutional neural networks Cowrie honeypot Cyber security Cybersecurity Cybersecurity information exchange CYBEX Honeypots Information exchanges Internet of things Internet protocols Large dataset Long short-term memory LSTM Network security TCN Temporal convolution network Temporal convolutional network
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Modeling and analyzing attacker behavior in IoT botnet using temporal convolution network (TCN)

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