5 papers
Bridging the Gap Between PHE and FHE: A Performance and Trade-off Analysis of The Somewhat Homomorphic BGN Cryptosystem
Sefik Serengil, Alper Ozpinar
Homomorphic encryption (HE) enables privacy-preserving data analytics, but practitioners often face a trade-off between lightweight Partially Homomorphic Encryption (PHE) and compu…
LightDSA: A Python-Based Hybrid Digital Signature Library and Performance Analysis of RSA, DSA, ECDSA and EdDSA in Variable Configurations, Elliptic Curve Forms and Curves
Sefik Serengil, Alper Ozpinar
Digital signature algorithms (DSAs) are fundamental to cryptographic security, ensuring data integrity and authentication. While RSA, DSA, ECDSA, and EdDSA are widely used, their p…
Encrypted Vector Similarity Computations Using Partially Homomorphic Encryption: Applications and Performance Analysis
Sefik Serengil, Alper Ozpinar
This paper explores the use of partially homomorphic encryption (PHE) for encrypted vector similarity search, with a focus on facial recognition and broader applications like rever…
CipherFace: A Fully Homomorphic Encryption-Driven Framework for Secure Cloud-Based Facial Recognition
Sefik Serengil, Alper Ozpinar
Facial recognition systems rely on embeddings to represent facial images and determine identity by verifying if the distance between embeddings is below a pre-tuned threshold. Whil…
LightPHE: Integrating Partially Homomorphic Encryption into Python with Extensive Cloud Environment Evaluations
Sefik Ilkin Serengil, Alper Ozpinar
Homomorphic encryption enables computations on encrypted data without accessing private keys, enhancing security in cloud environments. Without this technology, updates need to be…