CFP last date
20 December 2024
Reseach Article

A Novel Security Framework based on Genetics for Clustered Wireless Sensor Networks

by P. V. Ranjith Kumar, Sandeep P. Nemagoud, Sandeep Kumar E, Vijaya Kumar B P
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 5
Year of Publication: 2014
Authors: P. V. Ranjith Kumar, Sandeep P. Nemagoud, Sandeep Kumar E, Vijaya Kumar B P
10.5120/16788-6374

P. V. Ranjith Kumar, Sandeep P. Nemagoud, Sandeep Kumar E, Vijaya Kumar B P . A Novel Security Framework based on Genetics for Clustered Wireless Sensor Networks. International Journal of Computer Applications. 96, 5 ( June 2014), 8-13. DOI=10.5120/16788-6374

@article{ 10.5120/16788-6374,
author = { P. V. Ranjith Kumar, Sandeep P. Nemagoud, Sandeep Kumar E, Vijaya Kumar B P },
title = { A Novel Security Framework based on Genetics for Clustered Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 5 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 8-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number5/16788-6374/ },
doi = { 10.5120/16788-6374 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:20:56.529695+05:30
%A P. V. Ranjith Kumar
%A Sandeep P. Nemagoud
%A Sandeep Kumar E
%A Vijaya Kumar B P
%T A Novel Security Framework based on Genetics for Clustered Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 5
%P 8-13
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Security is of a prime importance in Wireless Sensor Networks (WSN). Because of less human intervention and self- management aspects of these types of networks, they are often prone to security threats and vulnerabilities. In such network scenario, we propose genetics based random key distribution scheme for securing clustered WSNs. The algorithm is simulated in MATLAB. The obtained result proves that the proposed method is energy efficient than other widely used cryptographic techniques and using these types of bio- inspired intelligences provides robust security in the network.

References
  1. Shanthini. B and Swamynathan. S, "Genetic- based Biometric Security System for Wireless-Sensor-based Healthcare Systems", International Conference on Recent Advances in Computing and Software Systems (RACSS), pp 180-184, 2012.
  2. Chein- Lung Wang, Tzung- Pei Hong, Gwoboa Hoing, Wen- Hung Wang, "A GA- Based Key- Management Scheme in Hierarchical Wireless Sensor Networks" International Journal of Innovative Computing, Information and Control, vol. 5, pp 4693-4702, 2009.
  3. Rahul Khanna, Huaping Liu, Hsio- Hwa Chen, "Dynamic Optimization of Secure Mobile Sensor Networks: A Genetic Algorithm", IEEE International Conference on Communications (ICC) – 2007, pp 3413-3418.
  4. Radhika Basicar, P. C Kishore Raja, Christeena Joseph, M. Reji, " Node Attribute Behavior based Intrusion Detection in Sensor Networks", International Journal of Engineering and Technology (IJET), Vol. 5(5), pp 3692- 3698, 2013.
  5. E. Sandeep Kumar, S. M. Kusuma, B. P. Vijaya Kumar, "A Random Key Distribution based Artificial Immune System for Security in Wireless Sensor Networks", Proceeding of IEEE International Students' Conference on Electronics, Electrical and Computer Science (SCEECS)-2014, 1-2 March, MANIT, Bhopal, Madhya Pradesh.
  6. E. Sandeep Kumar, S. M. Kusuma, B. P. Vijaya Kumar, "An Intelligent Defense Mechanism for Security in Wireless Sensor Networks", Proceedings of IEEE International Conference on Communications and Signal Processing (ICCSP) - 2014, 3-5 April, APEC, Melmaruvattur, Tamil Nadu.
  7. Omar Banimelhem, Moad Mowafi, Walid Aljoby, " Genetic Algorithm based Node Deployment in Hybrid Wireless Sensor Networks", Journal of Computer Science and Communications, Vol. 5(4), pp 273-279, 2013.
  8. Suneet K, Gupta, Pratyay Kuila, Prasanta K. Jana, "GAR: An Energy Efficient GA- based Routing for Wireless Sensor Networks", Distributed Computing and Internet Technology, Lecture notes in Computer Science, Vol. 7753, pp 267-277, 2013.
  9. Vinay Kumar Singh, Vidushi Sharma, "Lifetime Maximization of Wireless Sensor Networks using Improved Genetic Algorithm based Approach", International Journal of Computer Applications (IJCA), Vol. 57(14), pp 36-40, 2012.
  10. Amol p. Bhondekar, Renu Vig, Madan Lal Singha, C. Ghanshyam, Pawan Kapur, " Genetic Algorithm Based Node Placement Methodology for Wireless Sensor Networks", Proc. of International MultiConference of Engineers and Computer Scientists, Hong- Kong, 2009.
  11. Xinyu WANG, Ziwen SUN, Zhicheng JI, " Genetic Algorithm for Wireless Sensor Network Localization with Level- based Reliability Scheme", Journal of Computational Informational Systems, Vol. 9(16), pp 6479- 6488, 2013.
  12. Wendi Rabiner Heinzelman, Anantha Chandrakasan and Hari Balakrishnan, "Energy-Ef?cient Communication Protocol for Wireless Microsensor Networks", Proc. of 33rd IEEE Hawaii International Conference on System Sciences – 2000.
Index Terms

Computer Science
Information Sciences

Keywords

Clustered wireless sensor networks computational intelligence random keying technique genetic computing