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20122025
most citedA Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis

199 citations

Showing 2024Show all

7 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★ 19 cited

Evaluating the Security of Merkle Trees in the Internet of Things: An Analysis of Data Falsification Probabilities

Oleksandr Kuznetsov, Alex Rusnak, Anton Yezhov +3

Addressing the critical challenge of ensuring data integrity in decentralized systems, this paper delves into the underexplored area of data falsification probabilities within Merk…

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.CR2024★ 25 cited

Adaptive Restructuring of Merkle and Verkle Trees for Enhanced Blockchain Scalability

Oleksandr Kuznetsov, Dzianis Kanonik, Alex Rusnak +2

The scalability of blockchain technology remains a pivotal challenge, impeding its widespread adoption across various sectors. This study introduces an innovative approach to addre…

cs.CR2024★ 38 cited

Merkle Trees in Blockchain: A Study of Collision Probability and Security Implications

Oleksandr Kuznetsov, Alex Rusnak, Anton Yezhov +3

In the rapidly evolving landscape of blockchain technology, ensuring the integrity and security of data is paramount. This study delves into the security aspects of Merkle Trees, a…

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

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…