Daniil

Krizhanovskyi

This repository is an educational resource focused on consensus algorithms for blockchain and distributed systems. It is intended for students, developers, and blockchain enthusiasts who want to understand the principles behind consensus and the technical implementations that keep decentralized systems secure and consistent.

The Blockchain Compression Project is designed to optimize blockchain data storage and management by incorporating a series of advanced techniques. The project focuses on reducing the storage overhead of full blockchain nodes, while maintaining data integrity, scalability, and security. It leverages block compression, state delta management, Merkle trees, and zero-knowledge proofs (ZK-SNARKs) to efficiently manage blockchain data without compromising the reliability of the system.

The security_module is a cryptographic library specifically designed for integration into High-Frequency Trading (HFT) systems. It provides essential security features such as data encryption, key management, and data integrity verification using cryptographic signatures and hashing. The module is lightweight, highly modular, and follows industry-standard cryptographic practices, ensuring both security and performance.

The Quantum Cryptographic Toolkit is a collection of tools and libraries written in Rust, designed to develop, test, and deploy quantum-resistant cryptographic algorithms. It supports several well-known quantum-safe algorithms, making it a powerful resource for post-quantum cryptography.

The Traveling Salesman Project is a comprehensive solution to the Traveling Salesman Problem (TSP), implemented using Rust and Python. This project explores various algorithms and advanced techniques, including dynamic programming, genetic algorithms, multi-objective optimization, and machine learning, to find the most efficient route that visits a series of cities and returns to the starting point. This repository is intended for researchers, developers, and enthusiasts who are interested in optimization algorithms, algorithmic research, and machine learning applications in combinatorial problems.

The CryptoGameTheoryProject integrates cryptography, distributed systems, and game theory to explore the security and performance of advanced systems. This project simulates cryptographic attacks, distributed system fault tolerance, and game-theoretic models like Nash equilibria to analyze resilience, scalability, and vulnerabilities. The project is structured to support research in cutting-edge cryptographic protocols, security analysis, and distributed system behavior under various conditions. It follows modern academic research standards and can be extended for various simulations and experiments in security and distributed computing.

Proof of Synergy (PoSyg) is a novel consensus mechanism designed to enhance scalability, efficiency, and security in blockchain networks. PoSyg introduces the concept of "synergy" between participants, incentivizing cooperative behavior and penalizing malicious actions. This consensus model builds on the strengths of traditional Proof of Stake (PoS) while addressing some of its limitations, particularly around centralization, security, and energy consumption. PoSyg focuses on optimizing the collaborative behavior of participants by utilizing economic activity, governance involvement, and behavioral metrics to determine rewards and penalties. This document provides an in-depth overview of how PoSyg operates, its key components, and its impact on blockchain networks.