Secure Decentralized Networks: Design of Blockchain-Based Security Architectures
DOI:
https://doi.org/10.15680/IJCTECE.2025.0802002Keywords:
Blockchain, Decentralized Networks, Security Frameworks, Identity Management, Consensus Algorithms, Smart Contracts, Data Privacy, Peer-to-Peer Networks, Access Control, Blockchain SecurityAbstract
The rapid adoption of decentralized networks has revolutionized industries by enhancing security, scalability, and transparency. However, these networks also face unique challenges related to trust, integrity, and vulnerability to malicious attacks. Blockchain technology, with its inherent features such as immutability, decentralized consensus, and transparency, offers a promising solution to these challenges. Blockchain-based security frameworks aim to provide secure, decentralized architectures for ensuring data integrity, privacy, and authentication in a wide range of decentralized applications (dApps), such as IoT, peer-to-peer networks, and cloud services.This paper provides an in- depth analysis of blockchain-based security frameworks and their applicability in decentralized networks. It explores how blockchain can address key security issues, including identity management, access control, data confidentiality, and network resilience. Blockchain’s decentralized nature removes the need for a central authority, ensuring that trust is distributed across the network participants, thereby reducing the risk of single points of failure.The paper also examines various consensus algorithms—such as Proof of Work (PoW), Proof of Stake (PoS), and Practical Byzantine Fault Tolerance (PBFT)—and their roles in ensuring network security. Furthermore, it delves into the use of smart contracts for automating security processes and enhancing trust between participants. Real-world applications, including blockchain for secure financial transactions, IoT device management, and supply chain tracking, are also discussed to highlight the practical potential of blockchain-based security solutions.Finally, the paper addresses challenges and limitations, such as scalability, energy consumption, and the need for regulatory frameworks, while proposing future research directions to improve the effectiveness of blockchain security in decentralized environments.
References
1. Buterin, VA Next-Generation Smart Contract and Decentralized Application Platform. Ethereum White Paper.
2. Castro, M., & Liskov, B. Practical Byzantine Fault Tolerance. ACM Transactions on Computer Systems, 20(4), 398- 461.
3. Christidis, K., & Devetsikiotis, MBlockchains and Smart Contracts for the Internet of Things. IEEE Access, 4, 2292- 2303.
4. King, S., & Nadal, S. Pooled Proof of Stake (PPoS). Peercoin White Paper.
5. Narayanan, A., Bonneau, J., Felten, E., Miller, A., & Shacham, H. (2016). Bitcoin and Cryptocurrency Technologies. Princeton University Press.
6. Sugumar, R. (2022). Estimation of Social Distance for COVID19 Prevention using K-Nearest Neighbor Algorithm through deep learning. IEEE 2 (2):1-6.
7. L. S. Samayamantri, S. Singhal, O. Krishnamurthy, and R. Regin, “AI-driven multimodal approaches to human behavior analysis,” in Advances in Computer and Electrical Engineering, IGI Global, USA, pp. 485–506, 2024
8. Sovrin Foundation. (Sovrin Network Whitepaper. Retrieved from https://sovrin.org/
9. Swan, M. Blockchain: Blueprint for a New Economy. O'Reilly Media.
