Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions

N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …

Machine learning and deep learning approaches for cybersecurity: A review

A Halbouni, TS Gunawan, MH Habaebi… - IEEE …, 2022 - ieeexplore.ieee.org
The rapid evolution and growth of the internet through the last decades led to more concern
about cyber-attacks that are continuously increasing and changing. As a result, an effective …

A new distributed architecture for evaluating AI-based security systems at the edge: Network TON_IoT datasets

N Moustafa - Sustainable Cities and Society, 2021 - Elsevier
While there has been a significant interest in understanding the cyber threat landscape of
Internet of Things (IoT) networks, and the design of Artificial Intelligence (AI)-based security …

An effective intrusion detection approach using SVM with naïve Bayes feature embedding

J Gu, S Lu - Computers & Security, 2021 - Elsevier
Network security has become increasingly important in recent decades, while intrusion
detection system plays a critical role in protecting it. Various machine learning techniques …

TON_IoT telemetry dataset: A new generation dataset of IoT and IIoT for data-driven intrusion detection systems

A Alsaedi, N Moustafa, Z Tari, A Mahmood… - Ieee …, 2020 - ieeexplore.ieee.org
Although the Internet of Things (IoT) can increase efficiency and productivity through
intelligent and remote management, it also increases the risk of cyber-attacks. The potential …

[HTML][HTML] An explainable deep learning-enabled intrusion detection framework in IoT networks

M Keshk, N Koroniotis, N Pham, N Moustafa… - Information …, 2023 - Elsevier
Although the field of eXplainable Artificial Intelligence (XAI) has a significant interest these
days, its implementation within cyber security applications still needs further investigation 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 …

Attack classification of an intrusion detection system using deep learning and hyperparameter optimization

YN Kunang, S Nurmaini, D Stiawan… - Journal of Information …, 2021 - Elsevier
A network intrusion detection system (NIDS) is a solution that mitigates the threat of attacks
on a network. The success of a NIDS depends on the success of its algorithm and the …

Multi-dimensional feature fusion and stacking ensemble mechanism for network intrusion detection

H Zhang, JL Li, XM Liu, C Dong - Future Generation Computer Systems, 2021 - Elsevier
A robust network intrusion detection system (NIDS) plays an important role in cyberspace
security for protecting confidential systems from potential threats. In real world network, there …

Adversarial Deep Learning approach detection and defense against DDoS attacks in SDN environments

MP Novaes, LF Carvalho, J Lloret… - Future Generation …, 2021 - Elsevier
Over the last few years, Software Defined Networking (SDN) paradigm has become an
emerging architecture to design future networks and to meet new application demands. SDN …