Abstract
Abstract: A botnet attack is the most widely found, multi-stage cyber-attack in the Internet of Things (IoT), jumping with a scanning exertion and leading to Distributed Denial of Service (DDoS) attack. Botnets are malware that use malicious programs to risk functionality and gain access to error-free computer systems. The current study focuses on performing a literature survey for detecting botnet attacks using Machine Learning (ML) approaches. In this perspective survey is done by extracting work from last decade
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