Machine learning-enabled iot security: Open issues and challenges under advanced persistent threats
Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
[HTML][HTML] Intrusion detection in internet of things systems: a review on design approaches leveraging multi-access edge computing, machine learning, and datasets
The explosive growth of the Internet of Things (IoT) applications has imposed a dramatic
increase of network data and placed a high computation complexity across various …
increase of network data and placed a high computation complexity across various …
A supervised intrusion detection system for smart home IoT devices
E Anthi, L Williams, M Słowińska… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
The proliferation in Internet of Things (IoT) devices, which routinely collect sensitive
information, is demonstrated by their prominence in our daily lives. Although such devices …
information, is demonstrated by their prominence in our daily lives. Although such devices …
An explainable deep learning framework for resilient intrusion detection in IoT-enabled transportation networks
A Oseni, N Moustafa, G Creech… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The security of safety-critical IoT systems, such as the Internet of Vehicles (IoV), has a great
interest, focusing on using Intrusion Detection Systems (IDS) to recognise cyber-attacks in …
interest, focusing on using Intrusion Detection Systems (IDS) to recognise cyber-attacks in …
Network flow based IoT botnet attack detection using deep learning
S Sriram, R Vinayakumar, M Alazab… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Governments around the globe are promoting smart city applications to enhance the quality
of daily-life activities in urban areas. Smart cities include internet-enabled devices that are …
of daily-life activities in urban areas. Smart cities include internet-enabled devices that are …
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 …
Security of RPL based 6LoWPAN Networks in the Internet of Things: A Review
Internet of Things (IoT) is one of the fastest emerging networking paradigms enabling a large
number of applications for the benefit of mankind. Advancements in embedded system …
number of applications for the benefit of mankind. Advancements in embedded system …
DDoS attacks in IoT networks: a comprehensive systematic literature review
Y Al-Hadhrami, FK Hussain - World Wide Web, 2021 - Springer
Abstract The Internet of Things (IoT) is a rapidly emerging technology in the consumer and
industrial market. This technology has the potential to radically transform the consumer …
industrial market. This technology has the potential to radically transform the consumer …
[HTML][HTML] A multi-stage classification approach for iot intrusion detection based on clustering with oversampling
Intrusion detection of IoT-based data is a hot topic and has received a lot of interests from
researchers and practitioners since the security of IoT networks is crucial. Both supervised …
researchers and practitioners since the security of IoT networks is crucial. Both supervised …
A comprehensive survey on the cyber-security of smart grids: Cyber-attacks, detection, countermeasure techniques, and future directions
One of the significant challenges that smart grid networks face is cyber-security. Several
studies have been conducted to highlight those security challenges. However, the majority …
studies have been conducted to highlight those security challenges. However, the majority …