Quantum computing is bound to transform computing on a large scale, but it is equally causing severe security issues to the current cryptographic systems. The established encryption algorithms such as RSA and Elliptic Curve Cryptography (ECC) may be uncovered as soon as large-scale quantum computers may come into reality. Due to that, scientists are giving keen interest to Post-Quantum Cryptography (PQC), a group of algorithms designed to remain secure in the presence of quantum attacks. This shift cannot be overlooked by blockchain technology, which has a strong dependence on the use of cryptography to maintain trust, security, and integrity of the data. This paper examines the applications of post-quantum cryptographic techniques in blockchain networks, and how these techniques can be employed to enhance security against threats in the future. The paper investigates some of the PQC techniques, such as lattice-based, hash-based, code-based and multivariate cryptography, to check if they are appropriate to be used in blockchains. It also discusses practical issues, particularly, speed of execution, memory requirements, scalability and difficulty of implementation. Finally, the paper discusses future improvements and research requirements to develop blockchain systems that are secure and practical quantum-resistant.
Akriti Kushwaha, Mohammad S. Obaidat, Anshika Pandey et al.· International Conference on...· 0 citations
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
With the increasing sophistication of financial frauds, there is now a need for more advanced, secure, and scalable detection mechanisms. A fraud detection framework has been proposed that uses Federated Deep Learning (FDL) and Quantum Key Distribution (QKD) for non-IID financial data while carrying out secure communication. Using FL algorithms-FedAvg, FedAdagrad, FedAMP, and FedDyn-on partitioned client data, we demonstrate that FedDyn outperforms the other algorithms with an accuracy of 97.74%. Furthermore, we use Continuous-Variable QKD to encrypt the model updates to secure client-server communication, achieving a secure key ratio of above 98% and key rates of more than 250,000 bits/sec. Lastly, we implemented an elaborate suite of evaluations consisting of client-wise metrics, ROC curves, and t-SNE plots to validate the efficacy of our model implementation in terms of both performance and privacy preservation. Through our results, we address the brought-up importance of distributed intelligence powered by quantum encryption against advanced financial frauds.
Param Desai, Mohammad S. Obaidat, Mahek Desai et al.· International Conference on...· 0 citations
The high mobility and decentralized nature of Vehicular Ad Hoc Networks (VANETs) present significant security challenges. Specifically, detecting attacks and establishing secure, reliable routing protocols are major critical concerns in the vehicular environment. These attacks can significantly degrade network performance and hinder communication between vehicles. Insider attacks, such as Blackhole attacks, have the potential to severely disrupt VANET systems. This study introduces a novel trust management scheme that incorporates cryptographic techniques to address the important issues of secure routing in VANETs, which also helps in the detection of attacks. In this work, nodes' trust scores are evaluated, and the forwarding node for packet dissemination is chosen based on these scores. Furthermore, an elliptic curve cryptographic (ECC) signcryption technique is added for providing security to the network by authenticating the nodes, which mitigates the misbehaving nodes from the network. The simulation and comparative analysis show the efficacy of the proposed scheme. The proposed approach attained a packet delivery ratio (PDR) of 92.8%, indicating high reliability in data dissemination. Furthermore, the achieved results of throughput and End‐to‐End (E2E) delay are 232.32 KBps and 0.02 s, respectively. The obtained outcomes show enhancements of 94.182%, 49.67%, and 6% in PDR, throughput, and E2E delay, respectively, with respect to the existing techniques.
Nidhi Jaswani, Mou Dasgupta, Sangram Ray et al.· Security and Privacy· 0 citations
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