Machine learning approaches to IoT security: A systematic literature review
With the continuous expansion and evolution of IoT applications, attacks on those IoT
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
A systematic survey of data mining and big data analysis in internet of things
Y Zhong, L Chen, C Dan, A Rezaeipanah - The Journal of …, 2022 - Springer
Abstract The Internet of Things (IoT) is an emerging paradigm that offers remarkable
opportunities for data mining and analysis. IoT envisions a world where all smartphones …
opportunities for data mining and analysis. IoT envisions a world where all smartphones …
Zero-day attack detection: a systematic literature review
With the continuous increase in cyberattacks over the past few decades, the quest to
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …
develop a comprehensive, robust, and effective intrusion detection system (IDS) in the …
Toward design of an intelligent cyber attack detection system using hybrid feature reduced approach for iot networks
With simple connectivity and fast-growing demand of smart devices and networks, IoT has
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …
become more prone to cyber attacks. In order to detect and prevent cyber attacks in IoT …
Review of artificial intelligence for enhancing intrusion detection in the internet of things
Internet of Things is shaping the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …
expansion of adopting IoT-based approaches, their security represents a growing challenge …
A comprehensive deep learning benchmark for IoT IDS
The significance of an intrusion detection system (IDS) in networks security cannot be
overstated in detecting and responding to malicious attacks. Failure to detect large-scale …
overstated in detecting and responding to malicious attacks. Failure to detect large-scale …
Detection and prevention of DDoS attacks on edge computing of IoT devices through reinforcement learning
The limited resource and computation capacity of an IoT device always being a target vector
for intruders to use to steal sensitive data from the device. Computational problems were …
for intruders to use to steal sensitive data from the device. Computational problems were …
Attacks on resource-constrained IoT devices and security solutions
An IoT is a complex system of interconnected electronic devices that exchange data over the
network. Due to the sensitive nature of the data involved in this new technological paradigm …
network. Due to the sensitive nature of the data involved in this new technological paradigm …
Modelling DDoS attacks in IoT networks using machine learning
Abstract The Internet-of-Things (IoT) relies on the TCP protocol to transport data from a
source to a destination. Making it vulnerable to DDoS using the TCP SYN attack on Cyber …
source to a destination. Making it vulnerable to DDoS using the TCP SYN attack on Cyber …