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Case Studies | Computer and Mathematical Sciences | Canada | Volume 12 Issue 9, September 2023 | Rating: 5.1 / 10
Secure Multiparty Computing: A Decentralized Approach to GPA Calculation
Sayed Mohammad Badiezadegan
Abstract: In a decentralized world, where the Internet thrives without a central server, the concept of decentralization finds applications beyond technology. This article explores the critical notion of decentralization, highlighting its potential to eliminate the need for potentially corruptible service departments. To illustrate the practicality of decentralization, we present a scenario where a group of students aims to calculate the average GPA of their class without revealing individual GPAs. We introduce and review the Secure Multiparty Computing SMC protocol, assuming the integrity of all participants. In a basic 4-node SMC protocol implementation, students share random numbers, and collectively, they compute the class GPA without divulging individual scores. This method can be scaled for larger class sizes. Furthermore, we delve into an SMC implementation using an electronics circuit, drawing parallels between GPA calculation and electrical circuitry, emphasizing the importance of connections in achieving accurate results.
Keywords: Secure Multiparty Computation, Decentralization, GPA Calculation, Privacy, Electronics Circuit
Edition: Volume 12 Issue 9, September 2023,
Pages: 515 - 516