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 …

Zero trust architecture (zta): A comprehensive survey

NF Syed, SW Shah, A Shaghaghi, A Anwar… - IEEE …, 2022‏ - ieeexplore.ieee.org
We present a detailed survey of the Zero Trust (ZT) security paradigm which has a growing
number of advocates in the critical infrastructure risk management space. The article …

Analysis of IoT security challenges and its solutions using artificial intelligence

T Mazhar, DB Talpur, TA Shloul, YY Ghadi, I Haq… - Brain Sciences, 2023‏ - mdpi.com
The Internet of Things (IoT) is a well-known technology that has a significant impact on many
areas, including connections, work, healthcare, and the economy. IoT has the potential to …

[کتاب][B] Dive into deep learning

A Zhang, ZC Lipton, M Li, AJ Smola - 2023‏ - books.google.com
Deep learning has revolutionized pattern recognition, introducing tools that power a wide
range of technologies in such diverse fields as computer vision, natural language …

[HTML][HTML] A review of anomaly detection strategies to detect threats to cyber-physical systems

N Jeffrey, Q Tan, JR Villar - Electronics, 2023‏ - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …

DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges

KB Adedeji, AM Abu-Mahfouz, AM Kurien - Journal of Sensor and …, 2023‏ - mdpi.com
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …

Ensemble-learning framework for intrusion detection to enhance internet of things' devices security

Y Alotaibi, M Ilyas - Sensors, 2023‏ - mdpi.com
The Internet of Things (IoT) comprises a network of interconnected nodes constantly
communicating, exchanging, and transferring data over various network protocols. Studies …

Cyber-physical security for IoT networks: a comprehensive review on traditional, blockchain and artificial intelligence based key-security

A Attkan, V Ranga - Complex & Intelligent Systems, 2022‏ - Springer
The recent years have garnered huge attention towards the Internet of Things (IoT) because
it enables its consumers to improve their lifestyles and professionally keep up with the …

Securing wireless sensor networks using machine learning and blockchain: A review

S Ismail, DW Dawoud, H Reza - Future Internet, 2023‏ - mdpi.com
As an Internet of Things (IoT) technological key enabler, Wireless Sensor Networks (WSNs)
are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have …

[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JII Araya, H Rifà-Pous - Internet of Things, 2023‏ - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …