Hiding Sensitive Medical Data Using Hashing By Third Party Auditor

Registration ID: IJNRD_222904

Published ID: IJNRD2405829

DOI: Click Here to Get

KS. Arun , J. Meganathan , S. Naveen , M. Nithyaseelan , A. Sanjaiy

cyber security, hashing, securing medical data

Advancements in data collection, storage, and processing within E-Health systems have significantly elevated the significance and prevalence of data mining in the healthcare sector. Nevertheless, the sensitive nature of the managed and exchanged data introduces a considerable risk of information exposure and disclosure. Consequently, it becomes imperative to obfuscate sensitive relationships through the alteration of shared data. This critical information security concern underscores the necessity of concealing and safeguarding sensitive relationships within shared data. Given that numerous data mining endeavors aimed at uncovering valuable patterns from databases rely on identifying frequent item sets, delving deeper into these sets necessitates the application of Privacy-Preserving Techniques. Addressing complex combinatorial challenges like data distribution problems often involves the utilization of both exact and heuristic algorithms. While exact algorithms are deemed optimal for such scenarios, they encounter scalability limitations, typically suitable for medium-sized instances. Data hashing involves the transformation of input data into a fixed-length character string using a cryptographic hash function, generating a distinct hash value.

Published Paper   E-Certificate

KS. Arun, J. Meganathan, S. Naveen, M. Nithyaseelan, & A. Sanjaiy (May-2024). Hiding Sensitive Medical Data Using Hashing By Third Party Auditor. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), I253-I256. https://ijnrd.org/papers/IJNRD2405829.pdf

Volume 9 Issue 5, May-2024

Pages : I253-I256

Paper Reg. ID: IJNRD_222904

Published Paper Id: IJNRD2405829

Downloads: 000121979

Research Area: Computer Science & Technology 

Country: palani, Dindigul , Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405829.pdf

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