AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Experimental results show that the proposed MADRL framework achieves an effective balance among security, reliability, and scalability for next-generation IoT-enabled MANET systems.
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...
A blockchain-integrated trust-based authentication and access control framework designed specifically for IoT networks that combines deterministic blockchain validation with probabilistic trust computation, enabling adaptive decision-making while preserving system integrity.
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