… to advance IoT machine learning-based IDS … the network's security, which is presently a
popular topic in IoT security [35]. Hence, this paper aims to present IDS-based machine learning …

… Different machine learning (ML) approaches have been implemented to address these
issues and incorporate more autonomous decision-making in wireless IoT networks. ML offers …

… Can machine learning be secure?.” The novel contributions of this work introduce (a) a taxonomy
of different types of attacks on machine learning … to security for machine learning, (d) an …

… Artificial intelligence (AI) and machine learning (ML) techniques have huge potential to
efficiently manage the automated operation of the internet of things (IoT) nodes deployed in smart …

… their machine learning-based network … machine and deep learning-based IoT security
solutions. For this, we present different machine learning techniques as well as deep learning …

… machine learning technologies for the identification of IoT devices along with the detection
of compromised or falsified ones from the viewpoint of passive surveillance agents or network …

… The solution lies in the Internet of Things networking of cloud providers. The increased use
of IoT in the cloud has served as a catalyst for the creation and implementation of scalable …

… Significantly, we illustrate a detailed and comprehensive review of various machine
learning, deep learning, and RL-based IDS approaches associated with IoT networks. We …

… issues and they lead to congestion of network. For the purpose of … The internet of things is
connected to the sensing devices … the machine learning techniques and how the deep learning …

… the type of IoT networks, we are attempting to secure in this work. Machine learning and
artificial … Various machine algorithms were explored such as: Neural networks [1] and its newer …