Muscles of Deep Learning (DL) and Internet of Things (IoT) in Cyber Crimes Investigation

Abstract

Deep learning (DL) and internet of things (IoT) technologies have completely changed the investigation of cybercrimes via bringing with them innovative technologies and methods. Internet of things (IoT) technologies are widely used in common home items that easily connect to the internet and provide consumers with automation and real-time services. These devices are energy-efficient and lightweight but they are vulnerable to cybersecurity attacks that might interfere with their ability to operate in network systems. So, finding the origins of cyberattack events and the difficulties of encrypting and obfuscating network traffic provide a major challenge to the security of IoT networks. This chapter explores the complex interrelationships of cybercrime investigation cum analysis, DL and IoT with an emphasis on developing a strong legal framework for data analytics in the future.