Monitoring, Managing and Automating task of IoT Forensics Discussing Real time case studies (past seven years): A Review
Khushi Brij Gopal, Khushi Brij Gopal,, Aaryan Sathe Aaryan Sathe · International Journal of Pharmaceutical Research and Applications · 2025
With the introduction of the Internet of Things(IoT), smart monitoring, automating tasks, and even management has greatly advanced. The objective of this paper is to examine insights of IoT analog 12 alongside the controls and hurdles that come with IoT ecosystem. From a capturing standpoint, capturing of data without affecting the operation of the machine can be done with effective monitoring methods, whereas intelligent management methods ensure data is accurate throughout the processes by IoT. As for the low resource expenditure through high reliability tasks, AI units such as Google Alexa allow collection and examination of evidences which significantly lowers the manual work and errors. Homes with AI have revealed the gaping void that forensic IoT systems have, needing fast paced shifting which emphasize coevolution. Understanding evolving IoT networks is deeply needed. The absence of human error is obtainable throughout the appropriate implementation of learning forensic tools, therefore carefully constructed methodologies and other legalistic scaffolding are critical. This review tackles the gaps and broadens mobile forensic, network forensics, and the other branches of the complex system that are needed to enable thorough forensic investigations