ABSTRACT
The consistent adoption of emerging technologies determines the requirement of botnet forensics for malware recognition. The swift progress of interconnected technologies introduces the Internet of Things (IoT) in the form of smart cities, shrewd households, elegant healthcare, and smart infrastructure. The smart-physical system includes the interconnection of a group of devices, microcontrollers, computers, and softwares which makes the system most vulnerable to security threats, risks, malware, cyber-attacks, and Botherders. The Botherders are malicious intruders who, with the intention to gain access to smart networks for the transmission of viruses using botnets to propagate wrong data and choke network access, will connect to a smart physical system using a command and control server. In this chapter, the Bot-IoT dataset is used, which is designed over a network environment enclosing network traffic information, different types of attacks, and botnet traffic. The tentative fallouts are mitigated by using botnet forensics for the investigation of botnet attacks to measure the level of intrusions using predictive analytics and data analytics.
