Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review

M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …

Conceptualizing smart city applications: Requirements, architecture, security issues, and emerging trends

AKMB Haque, B Bhushan, G Dhiman - Expert Systems, 2022 - Wiley Online Library
The emergence of smart cities and sustainable development has become a globally
accepted form of urbanization. The epitome of smart city development has become possible …

[HTML][HTML] Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks

J Bhayo, SA Shah, S Hameed, A Ahmed, J Nasir… - … Applications of Artificial …, 2023 - Elsevier
Abstract The Internet of Things (IoT) is a complex and diverse network consisting of resource-
constrained sensors/devices/things that are vulnerable to various security threats …

A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system

A Gaurav, BB Gupta, PK Panigrahi - Enterprise Information …, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a relatively new technology that has piqued
academics' and business information systems' attention in recent years. The Internet of …

Deep recurrent neural network for IoT intrusion detection system

M Almiani, A AbuGhazleh, A Al-Rahayfeh… - … Modelling Practice and …, 2020 - Elsevier
As a results of the large scale development of the Internet of Things (IoT), cloud computing
capabilities including networking, data storage, management, and analytics are brought very …

A survey on machine learning-based malware detection in executable files

J Singh, J Singh - Journal of Systems Architecture, 2021 - Elsevier
In last decade, a proliferation growth in the development of computer malware has been
done. Nowadays, cybercriminals (attacker) use malware as a weapon to carry out the …

A survey on internet of things security: Requirements, challenges, and solutions

H HaddadPajouh, A Dehghantanha, RM Parizi… - Internet of Things, 2021 - Elsevier
Abstract Internet of Things (IoT) is one of the most promising technologies that aims to
enhance humans' quality of life (QoL). IoT plays a significant role in several fields such as …

Securing the Industrial Internet of Things against ransomware attacks: A comprehensive analysis of the emerging threat landscape and detection mechanisms

M Al-Hawawreh, M Alazab, MA Ferrag… - Journal of Network and …, 2024 - Elsevier
Due to the complexity and diversity of Industrial Internet of Things (IIoT) systems, which
include heterogeneous devices, legacy and new connectivity protocols and systems, and …

IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities

J Ashraf, M Keshk, N Moustafa, M Abdel-Basset… - Sustainable Cities and …, 2021 - Elsevier
The rapid proliferation of the Internet of Things (IoT) systems, has enabled transforming
urban areas into smart cities. Smart cities' paradigm has resulted in improved quality of life …

An ensemble deep learning-based cyber-attack detection in industrial control system

A Al-Abassi, H Karimipour, A Dehghantanha… - Ieee …, 2020 - ieeexplore.ieee.org
The integration of communication networks and the Internet of Things (IoT) in Industrial
Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing …