[HTML][HTML] Multi-aspect rule-based AI: Methods, taxonomy, challenges and directions towards automation, intelligence and transparent cybersecurity modeling for critical …

IH Sarker, H Janicke, MA Ferrag, A Abuadbba - Internet of Things, 2024 - Elsevier
Critical infrastructure (CI) typically refers to the essential physical and virtual systems, assets,
and services that are vital for the functioning and well-being of a society, economy, or nation …

Deep reinforcement learning for cyber security

TT Nguyen, VJ Reddi - IEEE Transactions on Neural Networks …, 2021 - ieeexplore.ieee.org
The scale of Internet-connected systems has increased considerably, and these systems are
being exposed to cyberattacks more than ever. The complexity and dynamics of …

Applications of artificial intelligence in engineering and manufacturing: a systematic review

IK Nti, AF Adekoya, BA Weyori… - Journal of Intelligent …, 2022 - Springer
Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …

A deep and scalable unsupervised machine learning system for cyber-attack detection in large-scale smart grids

H Karimipour, A Dehghantanha, RM Parizi… - Ieee …, 2019 - ieeexplore.ieee.org
Smart grid technology increases reliability, security, and efficiency of the electrical grids.
However, its strong dependencies on digital communication technology bring up new …

Twenty years of machine-learning-based text classification: A systematic review

A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

Robust malware detection for internet of (battlefield) things devices using deep eigenspace learning

A Azmoodeh, A Dehghantanha… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Internet of Things (IoT) in military settings generally consists of a diverse range of Internet-
connected devices and nodes (eg, medical devices and wearable combat uniforms). These …

Reinforcement learning for iot security: A comprehensive survey

A Uprety, DB Rawat - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The number of connected smart devices has been increasing exponentially for different
Internet-of-Things (IoT) applications. Security has been a long run challenge in the IoT …

[HTML][HTML] A survey on machine learning techniques applied to source code

T Sharma, M Kechagia, S Georgiou, R Tiwari… - Journal of Systems and …, 2024 - Elsevier
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

Fuzzy pattern tree for edge malware detection and categorization in IoT

EM Dovom, A Azmoodeh, A Dehghantanha… - Journal of Systems …, 2019 - Elsevier
The surging pace of Internet of Things (IoT) development and its applications has resulted in
significantly large amounts of data (commonly known as big data) being communicated and …