A Survey on Botnet Detection Techniques
Shivani Gaonkar, Nandini Fal Dessai, Jenny Costa, Ashlesha Borkar, Shailendra Aswale, Pratiksha R. Shetgaonkar · 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE) · 2020
Due to the increased rate of internet usage, security problems have also increased. One of the serious threats in network security are Botnets. A Botnet is defined as a collection of various bots that Botmaster controls through the Command and Control (C&C) channel. During recent times, different technologies and techniques have been proposed to track the detection of botnets. This paper summarizes different techniques to detect different botnets. General bot detection and IoT-bot detection techniques are separately explained. UNSW-NB15 datasets have been used in training and testing of the proposed model. A real-time IoT-Bot detection using deep learning algorithm is proposed in this paper. Wireshark is used to capture a package from network traffic.