DocumentCode
2759365
Title
Fast Scalar Multiplication for Elliptic Curve Cryptography in Sensor Networks with Hidden Generator Point
Author
Huang, Xu ; Shah, Pritam Gajkumar ; Sharma, Dharmendra
Author_Institution
Fac. of Inf. Sci. & Eng., Univ. of Canberra, Canberra, ACT, Australia
fYear
2010
fDate
10-12 Oct. 2010
Firstpage
243
Lastpage
249
Abstract
Cryptographic algorithms are becoming popular due to their applicability and suitability for use in constrained environment such as mobile sensor information applications. It is well known in these applications, both computing resources and power availability are limiting factors. Hence, it is expecting to have cryptographic algorithms with low power consuming, less computing, and high security for mobile sensor networks. Elliptic curve cryptography (ECC) is an emerging favorite because requires less computational power, communication bandwidth, and memory when compared to other cryptosystems. In this paper we present our new design, a hidden generator point, which offers an improvement in protection from the man-in-middle (MinM) attack which is a major vulnerability for the sensor networks. Even though there are other ways to implement hidden generator point, which are on the way to be published in our future paper, the presented algorisms can show the hidden generator point does work. Also, a new algorithm based on ones complement for fast scalar multiplication is first introduced, which yields a 12.5% improvement in efficiency in comparison with the results of other common complementary algorithms reported.
Keywords
public key cryptography; wireless sensor networks; elliptic curve cryptography; fast scalar multiplication; hidden generator point; man-in-middle attack; mobile sensor information; mobile sensor networks; elliptic curve crytographic(ECC); fast scalar multiplication; hiden generator point; man-in-middle attack; public key;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2010 International Conference on
Conference_Location
Huangshan
Print_ISBN
978-1-4244-8434-8
Electronic_ISBN
978-0-7695-4235-5
Type
conf
DOI
10.1109/CyberC.2010.51
Filename
5615701
Link To Document