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Secure and scalable smart grid IoT communication through quantum key distribution, homomorphic encryption, and federated learning

Discover Applied Sciences
The IoT Smart grid systems require privacy-sensitive, scalable, and secure communication, but the traditional cryptographic methods are susceptible to quantum attacks, central failure, and high computational costs.
Prashant Kumar Shukla, Suchi Mishra, Sachin Tiwari, Ankur Pandey, Najah Kalifah Almazmomi   +4 more
doaj   +1 more source

Enhancing foreign exchange reserve security for central banks using Blockchain, FHE, and AWS

Journal of King Saud University: Computer and Information Sciences
In order to maintain the value of the national currency and control foreign debt, central banks are vital to the management of a nation’s foreign exchange reserves.
Khandakar Md Shafin, Saha Reno
doaj   +1 more source

AgriChainSync: A Scalable and Secure Blockchain-Enabled Framework for IoT-Driven Precision Agriculture

IEEE Access
The rapid advancement of precision farming, automated irrigation systems, and predictive analytics has revolutionized agriculture, but these innovations also introduce new challenges, particularly in data integrity and security.
Hassam Ahmed Tahir, Walaa Alayed, Waqar Ul Hassan, Fahad Nabi, Truong X. Tran   +4 more
doaj   +1 more source

Enhancing Privacy and Efficiency in Federated Learning Through Hybrid Homomorphic Encryption

Federated Learning (FL) allows the training of models over distributed data sources without compromising the privacy of users in different client devices. Nonetheless, encryption mechanisms, including Homomorphic Encryption (HE) and symmetric encryption, such as the Advanced Encryption Standard (AES), enhance security but usually come at the cost of ...
Dembani, Rahool, Karvelas, Ioannis, Rizou, Stamatia, Tegolo, Domenico   +3 more
openaire   +2 more sources

Privacy-Preserving Classification of Medical Tabular Data with Homomorphic Encryption

Algorithms
Machine learning (ML) offers significant potential for disease prediction, clinical decision support, and medical data classification, but its reliance on sensitive patient data raises privacy and security concerns, particularly under strict healthcare ...
Fairuz Haq, Chao Chen, Zesheng Chen
doaj   +1 more source

Improving Security on Election Results Data Transmission via Cloud Using Hybrid Homomorphic Encryption

Earthline Journal of Mathematical Sciences
Elections in recent years have become topical issues and characterized by violence and conflicts leading to loss of lives and properties. The integrity and confidentiality of the declared collated results have been questioned by individuals and organisations with keen interest in the outcomes of every election.
Arnold Mashud Abukari, Iddrisu Zulfawu, Edem Kwedzo Bankas, Issah Gibrilla   +3 more
openaire   +1 more source

A Comprehensive Review of Cryptographic Techniques in Federated Learning for Secure Data Sharing and Applications

IEEE Access
The demand for secure data sharing is growing fast in sensitive domains like healthcare, finance, and IoT. Federated Learning (FL) introduces a decentralised machine learning paradigm whereby models can be trained over distributed nodes without sharing ...
Anik Sen, Swee-Huay Heng, Shing-Chiang Tan   +2 more
doaj   +1 more source

A Quantum-Resistant FHE Framework for Privacy-Preserving Image Processing in the Cloud

Algorithms
The advent of quantum computing poses an existential threat to the security of cloud services that handle sensitive visual data. Simultaneously, the need for computational privacy requires the ability to process data without exposing it to the cloud ...
Rafik Hamza
doaj   +1 more source

VeloFHE: GPU Acceleration for FHEW and TFHE Bootstrapping

Transactions on Cryptographic Hardware and Embedded Systems
Bit-wise Fully Homomorphic Encryption schemes like FHEW and TFHE offer efficient functional bootstrapping, enabling concurrent function evaluation and noise reduction.
Shiyu Shen, Hao Yang, Zhe Liu, Ying Liu, Xianhui Lu, Wangchen Dai, Lu Zhou, Yunlei Zhao, Ray C. C. Cheung   +8 more
doaj   +1 more source

RETRACTED: Secured learning through electronic health records using Hybrid Fully Homomorphic Encryption

Abstract The authors have requested that this preprint be removed from Research Square.
Kundan Munjal, Rekha Bhatia, Shilpa Verma   +2 more
openaire   +1 more source