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TSYS School Research Update ― January 9, 2026

A prior post from August of 2025 describes research on homomorphic encryption, which is a process that allows computations on encrypted data without revealing it to anyone other than an owner or an authorized collector, by TSYS School computer scientist Yesem Kurt Peker and her student Rahul Raj. Their study uses Zama’s Concrete compiler to explore the application of TFHE for performing statistical analysis on encrypted data, thereby demonstrating its viability for ensuring statistical confidentiality. The two researchers provide implementations of traditional algorithms for basic statistical computations on encrypted datasets, including the five-number summary, mean, variance, and mode, and record the time required for each operation. The results show that basic tasks like mean and min/max work well for small datasets while keeping data encrypted. Turner Business is proud to report that the paper by Peker and Raj appears in the current issue of the Journal of Cybersecurity and Privacy. Published by MDPI, the journal features scientific research on all technical areas of cybersecurity, including computer and network security, cryptography, cyber–physical system security and digital forensics, among others.
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