Ruslan Shevchuk

Associate Professor

University of Bielsko-Biala

Poland

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About

Ruslan Shevchuk is an Associate Professor at the University of Bielsko-Biała, Poland. His research areas include blockchain technology, anomaly detection, information diffusion in social networks, encryption techniques, and steganography. He has contributed to various recent articles addressing key challenges and innovations in these fields, including the application of novel approaches to cryptographic systems and emergency management.

Ruslan Shevchuk

Research Interests

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Articles (21)

Anomaly Detection in Blockchain: A Systematic Review of Trends, Challenges, and Future Directions

Model of an Open-Source MicroPython Library for GSM NB-IoT

Information Diffusion Modeling in Social Networks: A Comparative Analysis of Delay Mechanisms Using Population Dynamics

Application of Blockchain Technology in Emergency Management Systems: A Bibliometric Analysis

Affine Cipher Encryption Technique Using Residue Number System

Optimization of Additive Fibonacci Generators Based on Primitive Polynomials Over GF(p)

NFT Technology for Enhanced Global Digital Registers: A Novel Approach to Tokenization

Enhancing Cryptographic Primitives through Dynamic Cost Function Optimization in Heuristic Search

Neural Networks Toward Cybersecurity: Domain Map Analysis of State-of-the-Art Challenges

Symmetric Encryption Algorithms in a Polynomial Residue Number System

Cryptocurrency Crime Risks Modeling: Environment, E-Commerce, and Cybersecurity Issue

Enhancing Steganography Detection with AI: Fine-Tuning a Deep Residual Network for Spread Spectrum Image Steganography

Prediction Machine Learning Models on Propensity Convicts to Criminal Recidivism

Prediction Machine Learning Models on Propensity Convicts to Criminal Recidivism

The Canonical Discriminant Model of the Environmental Security Threats

Technique for Searching Data in a Cryptographically Protected SQL Database

Development of a physically correct model of reflection of the second degree

Combined Pseudo-Random Sequence Generator for Cybersecurity

Combined Pseudo-Random Sequence Generator for Cybersecurity

Permutation-Based Block Code for Short Packet Communication Systems

Permutation-Based Block Code for Short Packet Communication Systems

Collaborators (5)

Bohdan Stupka

Olha Ya. Kovalchuk

Vasyl Martsenyuk

Emanuele Frontoni

Tomasz Zajac

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