MACHINE LEARNING FOR DETECTING INTERNET OF THINGS NETWORK CYBER-ATTACKS

A Comparative Study for Outlier Detection Strategies Based On Traditional Machine Learning For IoT Data Analysis.

IoT Based Intrusion Detection Systems from The Perspective of Machine and Deep Learning: A Survey and Comparative Study

ENHANCED INTRUSION DETECTION TECHNIQUE BASED ON MACHINE LEARNING

ARTIFICIAL NEURAL NETWORK AND C4.5 ALGORITHMS FOR TAMPER DETECTION MODEL OF HEALTHCARE APPLICATIONS IN INTERNET OF THINGS

Federated Learning Enabled IDS for Internet of Things on non-IID Data

Comparative Analysis of Various Machine Learning Techniques Applied Towards Intrusion Detection in Computer Networks

A Trust-Management-Based Intrusion Detection System for Routing Protocol Attacks in Internet of Things

.Enhancement and Development of an Algorithm for Predicting Cyber Threats in the Era of the Internet of things

Study of Clustering Technique Algorithms in IoT Networks