Fuzzy controller for a dynamic window in elliptic curve cryptography wireless networks for scalar multiplication

The rapid progress of wireless communications and embedded micro-electro-mechanical systems technologies has made wireless sensor networks (WSN) possible. However, the security of the WSN becomes one of the major concerns in its applications. Elliptic curve cryptography (ECC) prominently provides solid potential for wireless sensor network security due to its small key size and its high security strength. However, there is a urgent need to reduce key calculation time to satisfy the full range of potential applications, in particularly for those applications involved wireless sensor networks (WSN). It is well known that scalar multiplication operation in ECC accounts for about 80% of key calculation time on wireless sensor network motes. In this paper we present a fuzzy controller for a dynamic window sizing to allow the calculation processing to run under optimum conditions by balanced case allocating available RAM and ROM at the sensor node within a wireless sensor network. The whole quality of Service (QoS) is improved, in particular the power consuming is more efficiently. The simulation results showed that the average calculation time decreased by approximately 15% in comparison to traditional algorithms in an ECC wireless sensor network

[1]  K. Lauter,et al.  The advantages of elliptic curve cryptography for wireless security , 2004, IEEE Wireless Communications.

[2]  Alfred Menezes,et al.  Software Implementation of Elliptic Curve Cryptography over Binary Fields , 2000, CHES.

[3]  Chung-Kuo Chang,et al.  An application of sensor networks for syndromic surveillance , 2005, Proceedings. 2005 IEEE Networking, Sensing and Control, 2005..

[4]  Bo Sheng,et al.  Elliptic curve cryptography-based access control in sensor networks , 2006, Int. J. Secur. Networks.

[5]  Tibor Juhas.  The use of elliptic curves in cryptography , 2007 .

[6]  H. C. Williams,et al.  Advances in Cryptology — CRYPTO ’85 Proceedings , 2000, Lecture Notes in Computer Science.

[7]  Michael D. Smith,et al.  A public-key infrastructure for key distribution in TinyOS based on elliptic curve cryptography , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[8]  Pavan Sikka,et al.  Wireless ad hoc sensor and actuator networks on the farm , 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

[9]  D. Stephens,et al.  Detection of moving radioactive sources using sensor networks , 2004, IEEE Transactions on Nuclear Science.

[10]  Feng Zhao.  Wireless sensor networks: a new computing platform for tomorrow's Internet , 2004, Proceedings of the IEEE 6th Circuits and Systems Symposium on Emerging Technologies: Frontiers of Mobile and Wireless Communication (IEEE Cat. No.04EX710).

[11]  Matt Welsh,et al.  Deploying a wireless sensor network on an active volcano , 2006, IEEE Internet Computing.

[12]  Xu Huang,et al.  Fuzzy Dynamic Switching in Quantum Key Distribution for Wi-Fi Networks , 2009, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

[13]  Hans Eberle,et al.  Comparing Elliptic Curve Cryptography and RSA on 8-bit CPUs , 2004, CHES.

[14]  Pritam Gajkumar Shah,et al.  Multi-Agent System Protecting from Attacking with Elliptic Curve Cryptography , 2010 .

[15]  Bruno Sinopoli,et al.  Distributed control applications within sensor networks , 2003, Proc. IEEE.

[16]  Angelo C. Gilli.  Binary arithmetic and Boolean algebra , 1965 .

[17]  Kiyomichi Araki,et al.  Overview of Elliptic Curve Cryptography , 1998, Public Key Cryptography.

[18]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[19]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[20]  N. Koblitz.  Elliptic curve cryptosystems , 1987 .

[21]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .