This paper proposes a trust-aware blockchain-assisted multi- agent deep reinforcement learning (MADRL) framework for secure and scalable routing in IoT-enabled Mobile Ad Hoc Networks (MANETs) under adversarial environments. The proposed framework integrates hierarchical blockchain- based trust management with distribut...
An engineering framework for privacy-preserving federated threat intelligence sharing that integrates trust-aware robust aggregation with blockchain-based integrity anchoring is proposed that confirms the effectiveness of the proposed trust-aware aggregation mechanism in mitigating malicious updates while preserving st...
Secure financial transactions require more than just an immutable record — they also demand privacy-preserving identity assurance (which enables secure, trusted and transparent communication), adaptive fraud intelligence (to detect fraudulent transactions), policy-aware execution (so organizations can set their own rul...
Experiments conducted in a controlled simulation environment show that BFGRL can effectively improve security, trust management, scalability, and operational efficienssssscy in blockchain-assisted smart EV networks.
Distributed networks are growing in size, and data sharing is increasingly necessary. Traditional security models can be susceptible to cyber threats like data tampering, insider attacks, identity spoofing, and unauthorized access. In order to solve these problems, this paper introduces a Blockchain-Based Zero-Trust Se...
With the rapid increase of Internet of Things (IoT) devices, it is a challenge to ensure secure and reliable device authentication. Conventional blockchain-based solutions provide immutability and transparency, but dynamic trust management is not present, resulting in limited scalability in heterogeneous IoT environmen...
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