Performance Evaluation of a Fragmented Secret Share System

Ukwandu, Elochukwu; Buchanan, William J; Russell, Gordon

Abstract

There are many risks in moving data into public storage environments, along with an increasing threat around large-scale data leakage. Secret sharing scheme has been proposed as a keyless and resilient mechanism to mitigate this, but scaling through large scale data infrastructure has remained the bane of using secret sharing scheme in big data storage and retrievals. This work applies secret sharing methods as used in cryptography to create robust and secure data storage and retrievals in conjunction with data fragmentation. It outlines two different methods of distributing data equally to storage locations as well as recovering them in such a manner that ensures consistent data availability irrespective of file size and type. Our experiments consist of two different methods – data and key shares. Using our experimental results, we were able to validate previous works on the effects of threshold on file recovery. Results obtained also revealed the varying effects of share writing to and retrieval from storage locations other than computer memory. The implication is that increase in fragment size at varying file and threshold sizes rather than add overheads to file recovery, do so on creation instead, underscoring the importance of choosing a varying fragment size as file size increases.

Citation

Ukwandu, E., Buchanan, W. J., & Russell, G. (2017, June). Performance Evaluation of a Fragmented Secret Share System. Presented at 2017 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2017 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)
• Start Date: Jun 19, 2017
• End Date: Jun 20, 2017
• Acceptance Date: Mar 30, 2017
• Online Publication Date: Oct 19, 2017
• Publication Date: Oct 19, 2017
• Deposit Date: Apr 24, 2017
• Publicly Available Date: Jan 20, 2018
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: Proceedings of the International Conference on Cyber Situational Awareness, Data Analytics and Assessment (Cyber SA 2017)
• ISBN: 9781509050604
• DOI: https://doi.org/10.1109/cybersa.2017.8073396
• Keywords: data, key, secret shares, disaster contention, thresholds scheme
• Public URL: http://researchrepository.napier.ac.uk/Output/832121
• Contract Date: Apr 24, 2017