Publication Type:

Conference Paper

Source:

2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017, Institute of Electrical and Electronics Engineers Inc., p.2042-2047 (2018)

ISBN:

9781538618868

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050147019&doi=10.1109%2fICECDS.2017.8389808&partnerID=40&md5=90034bea8e5148cb0185b2dc166454b6

Keywords:

Arduino, Client server, Computer hardware, Cryptographic algorithms, Cryptographic applications, Cryptography, Diffie Hellman, Diffie-Hellman key exchange, Embedded systems, Hardware, Raspberry Pi, Socket communications, Soft computing

Abstract:

Security in Embedded systems has become an important constraint in modern days. There are different cryptographic algorithms developed for providing data security. Among these Diffie-Hellman is the basic one. Diffie-Hellman Key Exchange method of cryptography has been the simplest method of implementation used in various cryptographic applications till now. In this work, we introduce the Diffie-Hellman based cryptography implementation on two embedded devices communicating with each other over Ethernet. Our aim is to provide a secure data communication by using key agreement scheme generated using the Diffie-Hellman key exchange algorithm Here, we are implementing the Diffie-Hellman based cryptography on Raspberry Pi and arduino hardware by establishing a socket communication between the two hardware devices and the key exchange happens using the established network communication. © 2017 IEEE.

Notes:

cited By 0; Conference of 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 ; Conference Date: 1 August 2017 Through 2 August 2017; Conference Code:137325

Cite this Research Publication

P. Deshpande, Dr. S. Santhanalakshmi, Lakshmi, P., and Vishwa, A., “Experimental study of Diffie-Hellman key exchange algorithm on embedded devices”, in 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017, 2018, pp. 2042-2047.