Daffodil International University

Faculty of Science and Information Technology => Recent Technologies and Trends in Software Engineering => Software Engineering => Cyber and Software Security => Topic started by: maruf.swe on February 19, 2020, 02:57:57 PM

Title: IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI
Post by: maruf.swe on February 19, 2020, 02:57:57 PM

 The Internet of things (IoT), which integrates a variety of devices into networks to provide advanced and intelligent services, has to protect user privacy and address attacks such as spoofing attacks, denial of service (DoS) attacks, jamming, and eavesdropping. We investigate the attack model for IoT systems and review the IoT security solutions based on machine-learning (ML) techniques including supervised learning, unsupervised learning, and reinforcement learning (RL). ML-based IoT authentication, access control, secure offloading, and malware detection schemes to protect data privacy are the focus of this article. We also discuss the challenges that need to be addressed to implement these ML-based security schemes in practical IoT systems.