Blockchain-based cybersecurity framework for securing smart digital environments

Abstract

The rapid expansion of smart digital environments, driven by interconnected systems such as cloud platforms, Internet of Things (IoT), and artificial intelligence (AI), has significantly increased exposure to sophisticated cyber threats. Our result demonstrates that the adoption of blockchain technology significantly reduces successful cyberattack rates, highlighting the effectiveness of decentralized architectures in mitigating unauthorized access and data manipulation. Another data illustrates the impact of different consensus mechanisms on data integrity, showing that advanced blockchain protocols such as PBFT and PoS achieve higher integrity levels compared to centralized systems. The study further compares detection accuracy across security frameworks, revealing that hybrid models integrating blockchain and AI-based intrusion detection systems achieve the highest performance. The findings indicate that blockchain-based cybersecurity frameworks provide a robust foundation for securing digital ecosystems by ensuring tamper-proof data storage, decentralized validation, and enhanced trust. However, the integration of blockchain with AI and large-scale systems introduces challenges related to scalability, computational complexity, and energy efficiency. The study emphasizes the need for hybrid and adaptive security models that balance performance and security requirements. Overall, this research contributes to the development of advanced cybersecurity strategies by demonstrating how blockchain, combined with intelligent analytics, can significantly improve the protection of smart digital environments against evolving cyber threats.