DocumentCode :
3185500
Title :
An efficient message authentication and source privacy with a hidden generator point based on ECC
Author :
Alshinina, Remah ; Elleithy, Khaled
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Bridgeport, Bridgeport, CT, USA
fYear :
2015
fDate :
1-1 May 2015
Firstpage :
1
Lastpage :
6
Abstract :
Wireless Sensor Networks have been widely used by researchers in different personal and organizational applications. Recently, WSN has become the major focus of researchers to establish a secure network against malicious node. The security of WSN can be subjected to threats by attackers. In order to limit these threats on WSNs, Elliptic Curve Cryptography (ECC) introduces great features such as smaller key size, less parameters, and higher intensity compared with RSA and public key algorithms. In this paper, we proposed an ECC based approach using a unique authentication message and source privacy through a hidden generator point. This scheme contains the initialization phase, registration phase, and authentication phase. These phases were introduced to develop an efficient algorithm, decrease the overhead, and increase the authentication between nodes. The scheme allows many nodes to transfer unlimited messages without any imposed threshold and guarantee the message source privacy.
Keywords :
data privacy; message authentication; public key cryptography; wireless sensor networks; ECC; WSN security; authentication phase; elliptic curve cryptography; hidden generator point; initialization phase; malicious node; message source privacy; registration phase; secure network; unique authentication message; wireless sensor networks; Authentication; Elliptic curve cryptography; Generators; Protocols; Receivers; Wireless sensor networks; Anonymous Message. Hidden Generator Point; Authentication; Elliptic curve (EC); Initialization; Registration; Secure Privacy; Shared Secret key; Wireless Sensor Network (WSN);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Applications and Technology Conference (LISAT), 2015 IEEE Long Island
Conference_Location :
Farmingdale, NY
Type :
conf
DOI :
10.1109/LISAT.2015.7160220
Filename :
7160220
Link To Document :
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