[HTML][HTML] A review of blockchain technology in knowledge-defined networking, its application, benefits, and challenges

PADSN Wijesekara, S Gunawardena - Network, 2023 - mdpi.com
Knowledge-Defined Networking (KDN) necessarily consists of a knowledge plane for the
generation of knowledge, typically using machine learning techniques, and the …

Drivers for Internet of Things (IoT) adoption in supply chains: Implications for sustainability in the post-pandemic era

SM Ali, MA Ashraf, HMM Taqi, S Ahmed… - Computers & Industrial …, 2023 - Elsevier
As the post-COVID-19 pandemic era begins, the supply chain operating environment has
transformed and faced disruptions. The Internet of Things (IoT) has emerged as one of the …

Reinforcement-Learning-Based Intrusion Detection in Communication Networks: A Review

H Kheddar, DW Dawoud, AI Awad… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Modern communication networks have to meet the performance requirements of
contemporary industrial control systems (ICSs), which are increasingly being connected to …

Detection of denial-of-service attack in wireless sensor networks: A lightweight machine learning approach

MA Elsadig - IEEe Access, 2023 - ieeexplore.ieee.org
The characteristics and performance of wireless sensor networks (WSNs) are the main
reasons for their rapid expansion in various fields. However, these networks are extremely …

[HTML][HTML] Towards a lightweight security framework using blockchain and machine learning

S Ismail, M Nouman, DW Dawoud, H Reza - Blockchain: Research and …, 2024 - Elsevier
Cyber-attacks pose a significant challenge to the security of Internet of Things (IoT) sensor
networks, necessitating the development of robust countermeasures tailored to their unique …

Security attacks in opportunistic mobile networks: A systematic literature review

A Altaweel, S Aslam, I Kamel - Journal of Network and Computer …, 2024 - Elsevier
Abstract Opportunistic Mobile Networks (OMNs), also known as Delay Tolerant Networks
(DTNs), refer to wireless networks in which the mobile nodes (eg, smartphones, tablets …

Wireless sensor networks and machine learning centric resource management schemes: A survey

GS Kori, MS Kakkasageri, PM Chanal, RS Pujar… - Ad Hoc Networks, 2025 - Elsevier
Abstract Wireless Sensor Network (WSN) is a heterogeneous, distributed network composed
of tiny cognitive, autonomous sensor nodes integrated with processor, sensors, transceivers …

Digital analysis of discrete fractional order worms transmission in wireless sensor systems: performance validation by artificial intelligence

A Khan, T Abdeljawad, HM Alkhawar - Modeling Earth Systems and …, 2025 - Springer
This article deals with a novel non-linear discrete fractional-order mathematical model
connected with the spread of worms in the wireless sensor systems (WSSs). The proposed …

Securing cloud data exchange related to IoT devices: key challenges and its machine learning solutions

J Arora, S Singh, M Sethi, G Kaur… - … Systems: Non-Linear …, 2024 - degruyter.com
The new trend of technology of the Internet of things (IoT), cloud computing, and smart
economy is reaching the top of their adoption. The data created by these smart devices are …

A stacked ensemble approach to identify internet of things network attacks through traffic analysis

A Rawashdeh, M Alkasassbeh, M Alauthman… - Bulletin of Electrical …, 2024 - beei.org
The internet of things (IoT) has increased exponentially in connected devices worldwide in
recent years. However, this rapid growth also introduces significant security challenges …