Digital identity verification is a critical security requirement in modern banking systems, where Know Your Customer (KYC) procedures are mandated to mitigate fraud and ensure regulatory compliance. Existing KYC solutions, such as blockchain-based and decentralized identity frameworks, are not suitable for long-term deployment in emerging 6G-enabled banking environments because they primarily rely on classical cryptographic primitives and architectural abstractions, which make them vulnerable to quantum attacks. Additionally, repeating KYC verification across institutions increases the vulnerability of sensitive customer data and creates operational inefficiencies. In this work, we present a KYC-as-a-Service-based quantum-resistant security protocol for digital identity verification, specifically designed for 6G-enabled financial applications. While a distributed ledger is only used as a verifiable trust anchor for managing KYC credentials and revocation status, the protocol uses encryption and post-quantum digital signatures to guarantee long-term security. The proposed method minimizes sensitive data exposure, which enables interoperable KYC reuse across many institutions, and is still practical for large-scale and low-latency banking systems. The proposed protocol supports scalable, privacy-preserving, and real-time identity verification across banking institutions and third-party KYC service providers.
A. K. Pandey, Debnath Ghosh, Mohammad S. Obaidat et al.· International Conference on...· 0 citations
Electric Vehicles (EVs) now function as both energy consumers and producers within the energy internet-enabled smart grid, enabling bidirectional energy exchange with the grid. To facilitate secure Vehicle-to-Grid (V2G) communication, mutual authentication between EVs and charging stations (CSs) over open wireless channels is crucial. While several authentication schemes have been proposed, most are vulnerable to post-quantum threats. To address this gap, this article presents an efficient lattice-based lightweight authentication protocol specifically designed for V2G communication. The protocol’s security is rigorously validated through formal analysis and formal security verification using an automated verification tool, known as the Automated Validation of Internet Security Protocols and Applications (AVISPA) tool. Additionally, an informal security analysis is performed to evaluate resilience against practical attacks. Moreover, comprehensive performance simulations confirm the protocol’s efficiency and feasibility for real-world V2G communication.
Nahida Majeed Wani, Girraj Kumar Verma, Saurabh Rana et al.· IEEE Transactions on Informa...· 0 citations
Quantum key distribution (QKD) employs quantum states to generate shared cryptographic keys. An attacker interacting with the modeled non-orthogonal quantum signals can affect the monitored statistics, and hence they can be detected under the specified protocol assumptions, but this trait does not inherently authenticate the classical channel, and it does not prevent implementation side channels. In this work, we introduce ModPhase-8 (QUEST), a proposed QKD modulation and adaptive-receiver architecture evaluated through analytical modeling and simulation. Instead of using only a few quantum signal types, our system uses eight carefully designed signal variations created by adjusting the phase between two very short light pulses. The eight phase states are organized into four phase bases, each containing two antipodal states that encode one binary raw-key value. The enlarged signal set diversifies the physical representation of the key bit and changes the state-discrimination problem faced by an eavesdropper, but it does not increase the raw-key payload beyond one bit per successfully sifted signal. On the receiving side, the system adaptively switches between two measurement techniques based on the prevailing channel conditions. This adaptive detection mechanism enhances reliability and helps maintain low error rates even when the communication channel is affected by noise. We provide an analytical security assessment under the stated collective-attack, source, channel, receiver, and trusted-device assumptions, supplemented by attack-specific analyses of intercept–resend, beam-splitting, source-side multi-photon leakage, and selected implementation-related vulnerabilities. Simulation studies were conducted to examine the physical-layer and post-processing behavior of the proposed protocol under explicitly stated channel, receiver, detector, and finite-sample values. Under the adopted simulation model, ModPhase-8 maintains low error rates in the low- and moderate-noise operating regimes and exhibits favorable receiver-level robustness across the investigated channel conditions. The reported rate values are model-based performance estimates rather than rigorously certified secret-key lower bounds. In particular, Qiskit simulation does not establish a composable security proof or an optimal bound on Eve’s information for the exact eight-state time-bin ensemble. A protocol-specific numerical security analysis incorporating the homodyne–heterodyne measurement operators, post-selection, reconciliation efficiency, finite-size effects, and Eve’s Holevo information remains necessary before definitive rate comparisons can be made. ModPhase-8 should therefore be interpreted as a practically motivated receiver and modulation framework whose security-rate performance remains subject to further protocol-specific analysis.
Vidhya Prakash Rajendran, D. Perumalsamy, Basker Palaniswamy et al.· Information· 0 citations
A scalable and adaptable paradigm for implementing fine-grained authorization in distributed systems, such as smart healthcare, is Attribute-Based Access Control (ABAC). ABAC offers dynamic data sharing capabilities, which are crucial for modern healthcare systems, by allowing access decisions based on user attributes. ABAC is frequently combined with cryptographic techniques to further improve the security of data transfer and protect private medical records in untrusted settings. However, it is still difficult to ensure both effective management of massive amounts of medical data and robust security against new quantum threats. In this paper, we present a hybrid quantum-safe ABAC framework for secure smart healthcare data sharing. The proposed technique enables secure and efficient access control over encrypted medical records by combining fine-grained attribute-based policy enforcement with lightweight cryptographic primitives. The proposed scheme is appropriate for practical smart healthcare settings, as it supports efficient access verification and dynamic attribute management. Security analysis shows that the framework maintains data secrecy and access control correctness while offering resistance against quantum adversaries. Performance evaluation shows that the proposed framework achieves lower computational, communication, and storage overhead compared to existing approaches. Thus, the proposed framework integrates fine-grained attribute-based access control with quantum-safe communication techniques and blockchain-assisted attribute management in order to enable secure, efficient, and scalable data sharing in smart healthcare systems.
