Aug 2026· Journal of Computer Virology and Hacking Techniques· Vol 22· 0 citations· 59 references
TL;DR
The P.A.C.T. Framework is presented, an integrated defense architecture organized around four mutually-reinforcing pillars: Proactive threat anticipation using predictive attack-path modelling and deception; Adaptive response driven by AI-based behavioral analytics; Collaborative intelligence sharing based on privacy-preserving cryptographic protocols; and Trustless verification using hardware attestation and Merkle-tree audit logs.
SecureFedShield is proposed, a privacy-preserving federated learning framework designed for secure financial fraud detection in adversarial environments that integrates adaptive privacy protection, trust-aware client evaluation, adversarial update detection, and robust model aggregation into a unified architecture.
Kriti Mishra· International Journal of Cre...· 0 citations
This narrative review draws together peer-reviewed literature from 2020 to 2026 on AI-driven privacy-preserving techniques like federated learning, differential privacy, homomorphic encryption, secure multi-party computation, and blockchain-AI hybrids applied to US healthcare cybersecurity to strengthen privacy alongsi...
Isaiah Thompson Ocansey, Mary Magdalene Linda Yeboah· Magna Scientia Advanced Rese...· 0 citations
The proposed framework effectively integrates encryption, federated intrusion detection, explainable artificial intelligence, and blockchain security to enhance privacy, transparency, and reliability in IoMT healthcare networks.
P. Banupriya, K. Vanitha· Journal of Vibration Enginee...· 0 citations
The findings have shown that the combination of intelligent security solutions and a standardized governance model not only increases the resilience of the organisation, but also reduces cyber risks, facilitates compliance with regulatory requirements and safeguard the trust of customers.
Vladimir Glushkov, Victor Glushkov· International Journal of Com...· 0 citations
A novel framework for adversarial machine unlearning is introduced to enable privacy-preserving threat intelligence sharing and lays the foundation for secure and compliant knowledge transfer in federated security operations and collaborative defence ecosystems.
R. Polishetty· Journal of Intelligent Decis...· 0 citations
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