Design and Comprehensive Review on Number of Different States of the Art Works Related to Botnet Attack Detection

The Internet of Things is a novel example for communication which use the internet to connect a extensive range of common place things. A new age of clever gadgets that are effortlessly integrated into our day-to-day lives has arrived as a outcome of its rapid proliferation. Intelligent homes, intelligent offices, smart utilities, intelligent healthcare, intelligent farming, intelligent transportation, intelligent villages, and more have all seen creative uses spurred by this game-changing technology. These applications have the ability to significantly improve our quality of life by enabling proactive, self-governing systems that don't require constant human interaction. Additionally, IoT applications and devices have been smoothly incorporated into key infrastructures, which include transportation networks, healthcare facilities, nuclear power plants, water treatment centres, and power plants. Their integration into these crucial areas has resulted in enhanced functioning and accessibility. capabilities for remote management enable. However, at the same time as IoT has becoming widely adopted, major cyber security flaws have also been exposed. These weaknesses include passwords that are hardcoded and security setups that aren't up to par. The systemic problems can be attributed to IoT providers' past disregard for strong security protocols. Numerous research projects have proposed machine learning centred methods to detect threats like malware networks and Distributed Denial of Service (DDoS) assaults in response to these security challenges. Interestingly, these methods have demonstrated that applying optimization algorithms can significantly increase machine learning accuracy. Still, there is a constant search for more sophisticated methods, driven by the need to overcome the limitations that come with making mistakes.