… in IoT security in the presence of the existing traditional security approaches. Then we discuss
the security requirements of IoT applications, threats and attacks in IoT networks. After that …

… machine learning in IoT security. We adopted a systematic approach to evaluating recent
studies and future trends in IoT security … areas, IoT, machine learning, and information security. …

… The Internet of things (IoT), which integrates a variety of devices into networks to provide …
model for IoT systems and review the IoT security solutions based on machine-learning (ML) …

… Indeed, IoT devices are prone to various security attacks … machine learning (ML) based
security framework that automatically copes with the expanding security aspects related to IoT …

… machine and deep learning-based IoT security solutions. For this, we present different
machine learning techniques as well as deep learning … security modeling to solve the security …

… of Botnet, security vulnerabilities in IoT, botnet malware, botnet lifecycle, different botnet
detection methods and the concept of machine learning and machine learning algorithms used …

… of security in IoT; section 3 demonstrates attacks in IoT, their … in IoT security including different
types of learning algorithms … IoT security; research challenges in ML-based security of IoT …

… Machine learning and deep learning (ML/DL) have … We then thoroughly review ML/DL
methods for IoT security and present … in applying ML/DL to IoT security. These opportunities and …

… Machine learning techniques are proven valuable for the Internet of things (IoT) due to … In
recent decades, wireless sensor network (WSN) and machine learning are integrated to give …

… IoT service. In this review, we focus on recent Machine Learning (ML) and Deep Learning
(DL) algorithms proposed in IoT security, which can be used to address various security issues…