A Survey on Botnet Detection Techniques
Shivani Gaonkar, Nandini Fal Dessai, Jenny Costa, Ashlesha Borkar, Shailendra Aswale, Pratiksha Shetgaonkar
Abstract
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.