Suharsh Anand
( oXya Corporation )
Cloud computing has revolutionized data storage and processing by offering scalable and
on-demand access to resources, yet it has also introduced significant security challenges, particularly
with the rise of quantum computing. Traditional encryption methods like RSA and DES, though effec-
tive against classical threats, are increasingly vulnerable to quantum attacks due to the unprecedented
computational power of quantum systems. To overcome these issues, this research Enhancing Robust-
ness against Advanced Cyber Threats through Low-Complexity Elliptic Galois Cryptography for Se-
cure Cloud Data Storage and Processing in a Quantum Computing Environment (LEGC-SCDS-QCE).
Initially, the data collection phase involves gathering cloud workload information from Kaggle. The col-
lected data is then pre-processed using the Adaptive Tracking Dual Nested Kalman Filter (ATDNKF)
to normalize the data and handle missing values. After pre-processing, the data is encrypted using
Martino Homomorphic Encryption (MHE) to ensure secure cloud storage and protect it against quan-
tum computing threats. Finally, the Quantum Key Distribution (QKD) E91 protocol is employed to
secure distributes cryptographic keys for the encryption process. The performance of proposed LEGC-
SCDS-QCE method compared with existing techniques like Real-Time Cryptography Using Quantum
Computing Integrated Patterns across Domains (RT-QUIP-CAD), Blockchain and Quantum Cryptog-
raphy Based Novel Framework for Securing IoT Devices (BQCNF-SIoT) and Enhanced Steganographic
Security through Quantum Key Distribution and Classical Cryptography Integration in Multi-layered
Systems (ESS-QKD-MLS).
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ICST 2026 | IIT Patna, India | August 01-02, 2026