Probabilistic analysis of threshold cryptography for cloud storage
Shabina Jameer Modishabina.sayyad@kbpcoes.edu.inDepartment of Computer Science and EngineeringKarmaveer Bhaurao Patil College of EngineeringSatara, Maharashtra, 415001, IndiaView full profile → , Karuna S. Bhosalekaruna.bhosale@pcu.edu.inDepartment of Computer Science & EnggineeringPimpri Chinchwad UniversityPune, Maharashtra, 412106, IndiaView full profile → , Archana Ganesh Saidarchana.said@aissmsioit.orgDepartment of Computer EngineeringAISSMS Institute of Information TechnologyPune, Maharashtra, 411001, IndiaView full profile → , *Samir N. AjaniCorresponding authorsamir.ajani@gmail.comDepartment of Computer Science and EngineeringRamdeobaba University (RBU)Nagpur, Maharashtra, 440013, IndiaView full profile → , Ashok Bhansaliashok.bhansali@gla.ac.inDepartment of Computer Engineering & ApplicationsGLA UniversityMathura, Uttar Pradesh, 281406, IndiaView full profile → , Pushpa Nagini Sripadasripadapn@maher.ac.inDepartment of EnglishMeenakshi College of Arts and ScienceMeenakshi Academy of Higher Education and ResearchChennai, Tamil Nadu, 600078, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Apr 2026
- Published Online:
- 31 Oct 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-3008
- Pages:
- 3777–3790
Abstract
Threshold cryptography provides a more secure method of ensuring the cloud storage, through sharing cryptographic keys with a number of participants, none of whom can have the system compromised. The paper is a probabilistic analysis of threshold-based schemes to assess the reliability, security resilience and fault tolerance of these schemes in the presence of different adversarial conditions. The framework suggested describes the important reconstruction probability, share compromise probability, and availability of the system in stochastic distribution and in the form of combinatorics. Using parameters like threshold value, node failure rate, and the strength of adversary, the study illustrates that optimal choice of threshold value contributes much in data confidentiality and at the same time, accessibility. Experimental assessment shows enhanced resistance to partial breaches, and minimized the risk of key exposure as compared to centralized models. The results present a mathematically based basis of constructing safe, scalable and fault-tolerant cloud-based storage systems with the help of threshold cryptography.
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References
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