Diffie-Hellman Algorithm for Securing Medical Record Data Encryption keys

Ermatita, Ermatita; Prastyo, Yugo Bayu; Pradnyana, I Wayan Widi; Adrezo, Muhammad

doi:10.1109/icimcis51567.2020.9354297

Cited by 4 publications

(1 citation statement)

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“…The proposed key exchange protocols can be more helpful for medical information to make authentication and AES security can achieve a better result in combined mode [14]. For reliable communication will have to establish identi cation protocols to manage unauthorized access.…”

Section: Literature Reviewmentioning

confidence: 99%

An Efficient and Lightweight Chaotic Function with Key Exchange Protection For Man in the Middle Attack in Mobile Ad-hoc Networks (MANET)

Soni

Gupta

Khare

2023

Preprint

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Independent communication in Mobile Ad-hoc Networks is widely recommended in Ad-hoc Networks to easily transmit data in undefined situations and make strong connections between sensors directly without any extra infrastructure. The MANET network's security issues are explored and solved by using high-security features by chaotic function. The chaotic cryptographic security can make help by generating highly complex pseudo-random numbers. The complexity is the first feature of the chaotic cryptosystem to get high-level security applications for the MANETs communication. In this paper, the Diffie-Hellman key exchange protection is used to establish the identification of user access links, and a chaotic function is added to generate highly complex situations for attackers to read the encrypted information. The lightweight speed of chaotic functions can also prevent protection without giving time to attackers. So both security features are combined as an Efficient and Lightweight Chaotic function with Key Exchange Protection (EL-CKP). The Efficient protection and lightweight speed of EL-CKP are analyzed better than existing AES and RSA security algorithms by comparative analysis of encryption time and the avalanche effect.

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Section: Literature Reviewmentioning

confidence: 99%