A review of intrusion detection systems using machine and deep learning in internet of things: Challenges, solutions and future directions

J Asharf, N Moustafa, H Khurshid, E Debie, W Haider… - Electronics, 2020 - mdpi.com
The Internet of Things (IoT) is poised to impact several aspects of our lives with its fast
proliferation in many areas such as wearable devices, smart sensors and home appliances …

A review of intrusion detection and blockchain applications in the cloud: approaches, challenges and solutions

O Alkadi, N Moustafa, B Turnbull - IEEE Access, 2020 - ieeexplore.ieee.org
This paper reviews the background and related studies in the areas of cloud systems,
intrusion detection and blockchain applications against cyber attacks. This work aims to …

Intrusion Detection in Industrial Internet of Things Network‐Based on Deep Learning Model with Rule‐Based Feature Selection

JB Awotunde, C Chakraborty… - … and mobile computing, 2021 - Wiley Online Library
The Industrial Internet of Things (IIoT) is a recent research area that links digital equipment
and services to physical systems. The IIoT has been used to generate large quantities of …

A survey on cyber security threats in IoT-enabled maritime industry

I Ashraf, Y Park, S Hur, SW Kim… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Impressive technological advancements over the past decades commenced significant
advantages in the maritime industry sector and elevated commercial, operational, and …

Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems

J Ashraf, AD Bakhshi, N Moustafa… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), especially Autonomous Vehicles (AVs), are
vulnerable to security and safety issues that threaten the lives of the people. Unlike manual …

Supply chain 4.0: A survey of cyber security challenges, solutions and future directions

T Sobb, B Turnbull, N Moustafa - Electronics, 2020 - mdpi.com
Supply chain 4.0 denotes the fourth revolution of supply chain management systems,
integrating manufacturing operations with telecommunication and Information Technology …

Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems

IA Khan, M Keshk, D Pi, N Khan, Y Hussain, H Soliman - Ad Hoc Networks, 2022 - Elsevier
Abstract Industrial Internet of Things (IIoT) networks involves heterogeneous technological
and manufacturing services and devices. The communication and data exchange …

A survey of intrusion detection on industrial control systems

Y Hu, A Yang, H Li, Y Sun… - International Journal of …, 2018 - journals.sagepub.com
The modern industrial control systems now exhibit an increasing connectivity to the
corporate Internet technology networks so as to make full use of the rich resource on the …

An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles

IA Khan, N Moustafa, D Pi, W Haider… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …

A new threat intelligence scheme for safeguarding industry 4.0 systems

N Moustafa, E Adi, B Turnbull, J Hu - IEEE Access, 2018 - ieeexplore.ieee.org
Industry 4.0 represents the fourth phase of industry and manufacturing revolution, unique in
that it provides Internet-connected smart systems, including automated factories …