A Decentralized Security Model for Preventing Data Breaches in Distributed Environments

Abstract

Distributed computing environments became an important component of the contemporary business, cloud computing, Internet of Things and data-centric apps. However, they rest on the huge number of interconnected nodes, which can lead to an increased susceptibility to unauthorized access, insider attacks, poor authentication and huge data breaches. The research study proposes a non-centralized method of security against security breaches in distributed environments due to the reduction in the use of a central authority and increase in trust, transparency and resiliency among the networked systems. The proposed model enhances the security in the various levels through the identity verification, distributed access control, encrypted data sharing, node level authentication and real-time anomaly detection. In the model where security choices are decentralized, then the impact of a compromised node and single points of failures becomes lesser. Cryptographic hashing ensures data integrity and traceability, and access permissions are automated using smart contracts. It is also possible to use this framework of continuously monitoring the activity to forecast the potential suspicious behaviour and also transferring the undesired data prior to the breach happening. The article suggests that decentralization of security architecture can offer superior confidentiality, integrity, availability and accountability of the uncommon distributed infrastructures. Overall, the proposed model offers an extensible and adaptable system of protection of sensitive information on the cloud, edge, and enterprise networks. In its own way, it contributes to the body of knowledge regarding cybersecurity in the sense that it provides a practical security model, which can be compatible with the growing need of trustless, transparent, and breach-resilience distributed systems.