SECURING DATA IN DECENTRALIZED ECOSYSTEMS: PRIVACY, ENCRYPTION, AND TRUST MECHANISMS
Keywords:
Decentralized computing, cryptographic security, privacy protection, access management, blockchain technology, secure data exchange.Abstract
As decentralized networks gain traction across various industries, ensuring secure data exchange has become a pressing concern. This paper examines the critical security challenges in decentralized ecosystems, emphasizing privacy-preserving encryption methods, adaptive access control models, and robust data integrity verification techniques. The study begins by outlining potential vulnerabilities in decentralized systems, such as unauthorized access, data manipulation, and privacy leaks. It then explores innovative encryption mechanisms tailored for decentralized architectures, ensuring confidentiality without compromising efficiency. Furthermore, the research evaluates access control strategies that balance security and usability while preventing unauthorized data interactions. The paper also discusses trust-enhancing data integrity verification frameworks, which are essential for maintaining consistency and reliability in decentralized environments. By synthesizing insights from existing security methodologies and emerging trends, this study provides a comprehensive outlook on strengthening data security in decentralized networks and lays the foundation for future advancements in this domain.
References
• APWG. (2020). Phishing Activity Trends Report, 4th Quarter 2020. Anti-Phishing Working Group. Retrieved from APWG Website.
• Atzei, N., Bartoletti, M., & Cimoli, T. (2017). A Survey of Attacks on Ethereum Smart Contracts (SoK). Lecture Notes in Computer Science, 10323, 164-186.
• AWS. (2023). What is Decentralization? Amazon Web Services, Inc. Retrieved from AWS Blockchain.
• Ferraiolo, D., Cugini, J., & Kuhn, D. (1995). Role-Based Access Control (RBAC): Features and Motivations.National Institute of Standards and Technology.
• Goswami, P., Neetu Faujdar, Debnath, S., Khan, A., & Singh, G. (2024). Investigation on Storage-Level Data Integrity Strategies in Cloud Computing. Journal of Cloud Computing, 13(1). Retrieved from Journal of Cloud Computing.
• Hadnagy, C., & Fincher, M. (2018). Social Engineering: The Science of Human Hacking. John Wiley & Sons.
• Lindell, Y. (2020). Secure Multiparty Computation. Communications of the ACM, 64(1), 86–96. Retrieved from ACM Library.
• McMillan, R. (2014). The Inside Story of Mt. Gox, Bitcoin’s $460 Million Disaster. Wired. Retrieved from Wired.
• Nejatollahi, H., Dutt, N., Ray, S., Regazzoni, F., Banerjee, I., & Cammarota, R. (2017). Software and Hardware Implementation of Lattice-Based Cryptography Schemes. Retrieved from UCI CECS.
• Rose, S., Borchert, O., Mitchell, S., & Connelly, S. (2020). Zero Trust Architecture. National Institute of Standards and Technology.
• Simplilearn. (2024). What Is Data Encryption: Types, Algorithms, Techniques, and Methods. Retrieved from Simplilearn.
