PROTECTING DATA INTEGRITY IN MALICIOUS ENVIRONMENTS: DLIME'S ROBUST FRAMEWORK

Authors

  • M. Jeyakarthic

DOI:

https://doi.org/10.47750/3bg3b210

Abstract

In the realm of data management, ensuring the integrity of data flows becomes increasingly challenging in the face of malicious environments. To address this concern, we introduce DLIME (Data Lineage in Malicious Environments), a robust framework designed to safeguard data integrity across multiple entities. DLIME operates on the premise of identifying culpable entities and delivering precise security guarantees in data lineage mechanisms. Leveraging robust watermarking and signature primitives, DLIME establishes an accountable data transfer protocol between entities, even within hostile environments. This abstract delineates DLIME's framework, emphasizing its efficacy in fortifying data flows against malevolent actors. Through meticulous design and implementation, DLIME stands as a resilient solution to protect data integrity amidst adversarial threats, ensuring trustworthiness and reliability in data management systems operating in malicious environments.

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Published

2016-01-28

Issue

Section

Articles

How to Cite

PROTECTING DATA INTEGRITY IN MALICIOUS ENVIRONMENTS: DLIME’S ROBUST FRAMEWORK. (2016). Journal of Pharmaceutical Negative Results, 7(1), 54-59. https://doi.org/10.47750/3bg3b210