Title: Reduced Vector Technique Homomorphic Encryption in the Cloud

Year of Publication: March - 2019
Page Numbers: 1-11
Authors: Suneetha Tedla, Carlos A. Paz de Araujo, C. Edward Chow, and David William Honorio Araujo Da Silva
Conference Name: The Sixth International Conference on Cyber Security, Cyber Welfare and Digital Forensic (CyberSec2019)
- Morocco


The need to access data from anywhere leads the customers to use Cloud environments with expectations of faster access, solid reliability, and full security. We observed a significant difference between throughput penalties up to 20-50% using encryption software methods on Cloud storage SSD or encrypted SSDs. Homomorphic Encryption methods allows achieving the Cloud security and performance using its unique feature of computing on encrypted data. We developed a Reduced Vector Technique Homomorphic Encryption (RVTHE) and it is a symmetric somewhat homomorphic encryption. RVTHE developed based on using Versors and Clifford Geometric Algebra properties. The evaluation of our implementation shows we can edit/append a file in .001 sec. In the case of full file encryption, RVTHE is 75% faster on encryption and 25% slower on decryption compared with encryption software ‘AES Crypt’. RVTHE generated ciphertext size reduced to 25% from previous approaches, using multi-vectors and Clifford Geometric Algebra, and has the potential to use on real workloads.