Analysis reveals that the proposed model outperforms individual LSTM and Q‐learning models, showing a 10% improvement in prediction accuracy, a 5% greater reduction in latency variability, and a higher cumulative reward during training.
Monika Dubey, Mohammad S. Obaidat, Ashutosh Kumar Singh et al.· Transactions on Emerging Tel...· 0 citations
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 reali...
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 de...
Abhishek Kumar 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 communic...
Param Desai, Mohammad S. Obaidat, Mahek Desai et al.· International Conference on...· 0 citations
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.
Nidhi Jaswani, Mou Dasgupta, Sangram Ray et al.· Security and Privacy· 0 citations
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