Aug 2026· Cluster Computing· Vol 29· 0 citations· 51 references
TL;DR
A distributed intrusion detection framework that integrates blockchain technology with Multi-Agent Reinforcement Learning (MARL) for enhanced blockchain security, transparency, and decentralization and establishes an emerging practice of intelligent distributed intrusion detection in emerging cybersecurity architectures.
The analysis shows while blockchain, ML and DL technologies play a crucial role in enhancing IoT security, they each have limitations including scalability, computational overhead, data dependency and lack of flexibility against new cyber threats.
Shamsudeen Mohammed S, Nwobodo-Nzeribe Nnenna Harmony, Aghaizu Herman Chijioke· International journal of re...· 0 citations
BELS-IoT is proposed, a novel decentralized protection architecture that integrates a cryptocurrency-based blockchain layer with a multi-layer ensemble learning engine that rewards honest behavior and penalizes malicious activities while maintaining privacy through federated learning with blockchain-verified reputation...
Anwar Kalghoum, L. Saidane· SN Computer Science· 0 citations
In the digital era, the prevalence of cyber threats within cloud-based infrastructures presents a formidable challenge. This study introduces a novel approach that combines the immutable nature of blockchain technology with advanced detection mechanisms to enhance the security of cloud environments. We propose a model...
Eruguralla SatishBabu, Smitha Chowdary· International Conference Com...· 0 citations
This WSNs coupled with the Internet of Things (IoT) is very much needed in facilitating smart environment like smart cities, industrial automation, healthcare monitoring and environmental monitoring. Nevertheless, WSN-IoT systems are extremely susceptible to security risks such as denial-of-service attacks, malicious n...
S. Madhuri, D. Dhevi· International Conference Com...· 0 citations
The study proposes a secure and adaptive intrusion detection model using Federated Learning and Blockchain, augmented with autoencoder-based feature reduction, showing that combining FL, blockchain, and deep feature extraction offers a viable and secure solution for intrusion detection systems in IoT.
Tahseen A. Wotaifi· Journal of Intelligent Infor...· 0 citations
An end‐to‐end IoT‐cloud security system that is based on markov decision processes, reinforcement learning, and blockchain‐enhanced authentication in order to achieve better attack detection, false alarms, and safe device management is created.
Mohamed Loey, V. Krishna, Osama S. Younes et al.· Transactions on Emerging Tel...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.