- Shankari Seethalakshmi Mohanakrishnan
Lead Data Analyst, Mastro Services, USA.
shridurga.0193@gmail.com 0009-0000-0566-1068
ISSN: 2182-2069 (printed) / ISSN: 2182-2077 (online)
Intent-Predictive and Adaptive Access Control and Trust Management Architecture for Insider Threat Prevention in Wireless Financial Systems
Strategic insider risks in wireless financial systems call for flexible and anti-theft access systems. This paper presents the IQR-HKNet (Intent-Driven Quantum-Resistant Hierarchical Key Network) model. The IQR-TrustNet is a hybrid trust management architecture that synergizes IDAC (Intent-Driven Access Control) with QR-HKR (Quantum-Resistant Hierarchical Key Rotation) to strengthen unauthorized actions while maintaining a flexible cascade of cryptographic structures. The IDAC drives with its TIG (Temporal Interaction Graph) session, user activity sequence-based user sessions, and utilizes Graph Neural Network (GNN) to real-time classify session intent. Unlike static role-based access systems, access is contingent upon anticipated intent, which enhances auto-response to threat urgency. Also, QR-HKR is post-quantum resilient, employing CRYSTALS-Kyber lattice-based schemes for encryption key rotation within risk-tiered behavioral contexts. The composite system guarantees that access decisions, as well as cryptographic protections, are context-aware and session-sensitive. Compromise resilience is assured for internal threats. Experimental validation of insider threat simulations showed improved detection accuracy and reduced false acceptance rate while maintaining secure key lifecycle management. Trust governance is holistic. Advanced financial system security is IQR-HKNet’s contribution through the integration of behavioral intelligence with quantum-ready key infrastructure.