Paper Details

Name: Paramjit Singh Waraich
Country: India

Year: 2025
Volume: Volume-12, Issue-2 (July-December)
Page Number: 474-488
DOI: https://doi.org/10.5281/zenodo.20233159

ABSTRACT-.
IoT networks can be deployed in different domains. Such type of networks depend over the internet services for the transmission and data exchange thus may invite the common cyber security threats those are associated with the traditional internet services as well as these networks operate in unattended environment that is another security challenge as intruder can join the network any time to intercept the transmission. This paper explores the different types of security threats those can interrupt the communication along with their intelligent security provisions developed by different researchers and these are related to authentication, intrusion detection and prevention, trust management, data integrity and privacy etc. using various techniques based on machine and deep learning algorithms, blockchain technology and other cryptography methods etc. Study will also analysis their performance in terms of
threat detection accuracy, f1-score, recall, precision etc.

Keywords- IoT networks, Network Security, Intrusion, Authentication, Machine learning,
Deep learning