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20242026
most citedAttackNet: Enhancing Biometric Security via Tailored Convolutional Neural Network Architectures for Liveness Detection

13 citations · 19 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CR2024★ 1 cited

Efficient Zero-Knowledge Proofs for Set Membership in Blockchain-Based Sensor Networks: A Novel OR-Aggregation Approach

Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano +1

Blockchain-based sensor networks offer promising solutions for secure and transparent data management in IoT ecosystems. However, efficient set membership proofs remain a critical…

cs.CR2024★ 2 cited

Evolutionary Approach to S-box Generation: Optimizing Nonlinear Substitutions in Symmetric Ciphers

Oleksandr Kuznetsov, Nikolay Poluyanenko, Emanuele Frontoni +2

This study explores the application of genetic algorithms in generating highly nonlinear substitution boxes (S-boxes) for symmetric key cryptography. We present a novel implementat…

cs.CV2024★ 13 cited

AttackNet: Enhancing Biometric Security via Tailored Convolutional Neural Network Architectures for Liveness Detection

Oleksandr Kuznetsov, Dmytro Zakharov, Emanuele Frontoni +1

Biometric security is the cornerstone of modern identity verification and authentication systems, where the integrity and reliability of biometric samples is of paramount importanc…

cs.CV2024★ 1 cited

Embedding Non-Distortive Cancelable Face Template Generation

Dmytro Zakharov, Oleksandr Kuznetsov, Emanuele Frontoni +1

Biometric authentication systems are crucial for security, but developing them involves various complexities, including privacy, security, and achieving high accuracy without direc…

cs.CV2024★ 1 cited

Cross-Database Liveness Detection: Insights from Comparative Biometric Analysis

Oleksandr Kuznetsov, Dmytro Zakharov, Emanuele Frontoni +2

In an era where biometric security serves as a keystone of modern identity verification systems, ensuring the authenticity of these biometric samples is paramount. Liveness detecti…

cs.CV2024★ 1 cited

Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings

Dmytro Zakharov, Oleksandr Kuznetsov, Emanuele Frontoni

Biometric authentication systems play a crucial role in modern security systems. However, maintaining the balance of privacy and integrity of stored biometrics derivative data whil…