CFP last date
20 May 2024
Reseach Article

A Secure Crypto based ECG Data Communication using Modified SPHIT and Modified Quasigroup Encryption

by S. Sujatha, R. Govindaraju
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 6
Year of Publication: 2013
Authors: S. Sujatha, R. Govindaraju
10.5120/13494-1217

S. Sujatha, R. Govindaraju . A Secure Crypto based ECG Data Communication using Modified SPHIT and Modified Quasigroup Encryption. International Journal of Computer Applications. 78, 6 ( September 2013), 27-33. DOI=10.5120/13494-1217

@article{ 10.5120/13494-1217,
author = { S. Sujatha, R. Govindaraju },
title = { A Secure Crypto based ECG Data Communication using Modified SPHIT and Modified Quasigroup Encryption },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 6 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 27-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number6/13494-1217/ },
doi = { 10.5120/13494-1217 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:50:54.803842+05:30
%A S. Sujatha
%A R. Govindaraju
%T A Secure Crypto based ECG Data Communication using Modified SPHIT and Modified Quasigroup Encryption
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 6
%P 27-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, wireless body area sensor network is one of the important aspects for the development of the healthcare applications. But, it has several issues based on the security and authentication during the transmission of the data. Because of the influence of the hackers, more importance is been given to security aspect in Wireless Body Area Sensor Networks communication. Cryptographic techniques are observed to provide significant results in protecting data from hackers and attackers. Some of the existing cryptographic algorithms such as selective encryption provide good results. The present research work mainly deals with securing the ECG data in Wireless Body Area Sensor Network (WBASN) before transmission. The existing algorithm is mainly based on the RSA algorithm which is used for data security during the transmission but it has some problems in real time applications and it is more exposure to vulnerable attacks. Therefore, in this paper, improved selective algorithm based on the modified quasigroup encryption is used along with the modified SPHIT compression algorithm. Modified quasi group encryption which uses genetic algorithm for optimization is used in this approach for improving the Quasigroup performance. The optimization based approach provides the optimized Quasigroup for encryption which gives better security for the ECG data. The results obtained are compared with other existing algorithm which is evaluated using the quality measurement parameters.

References
  1. E. Dishman, "Inventing wellness systems for aging in place," IEEE Computer, vol. 37, no. 5, pp. 34-41, May 2004.
  2. Khalil, I and Fahim Sufi, "Real-time ECG data Transmission with Wavelet Packet Decomposition over Wireless Networks", International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Page(s): 267 - 272, 2008.
  3. Yogita L. Kumbhare, Pankaj H. Rangaree, Dr. G. M. Asutkar "Wireless Body Area Sensor Network Authentication using HMAC function" 2nd National Conference on Information and Communication Technology (NCICT) 2011.
  4. Islam, M. R. Ahmad, S. Hirose, K. ; Molla, Md. K. I. , "Data adaptive analysis of ECG signals for cardiovascular disease diagnosis", Proceedings of 2010 IEEE International Symposium on Circuits and Systems (ISCAS), 2010.
  5. DR Stinson, Cryptography, Theory and Practice, 2nd edition, Chapman & Hall, CRC Press, Boca Raton (2002).
  6. Matthew Battey and Abhishek Parakh, "Ef?cient Quasigroup Block Cipher for Sensor Networks", Cornell University Library, 2012.
  7. Kanjee, M. R. Divi, K. ; Hong Liu, "A two-tiered authentication and encryption scheme in secure healthcare sensor networks", Sixth International Conference on Information Assurance and Security (IAS), 2010.
  8. Ramli, S. N. , Ahmad, R. ; Abdollah, M. F. ; Dutkiewicz, E. , "A biometric-based security for data authentication in Wireless Body Area Network (WBAN)"15th International Conference on advanced Communication Technology (ICACT), 2013.
  9. Chol-soon Jang ; Deok-Gyu Lee ; Jong-Wook Han, "A Proposal of Security Framework for Wireless Body Area Network" International Conference on Security Technology, 2008.
  10. Jingwei Liu Zonghua Zhang ; Rong Sun ; Kyung Sup Kwak, "Certificateless Remote Anonymous Authentication Schemes for Wireless Body Area Networks" IEEE International Conference on Communications (ICC), 2012.
  11. Shu-Di Bao ; Yuan-Ting Zhang , "A design proposal of security architecture for medical body sensor networks" International Workshop on Wearable and Implantable Body Sensor Networks, 2006.
  12. Yong Sun, Hui Zhang, Guangshu Hu, "Real-time implementation of a new low-memory SPIHT image coding algorithm using DSP chip", IEEE Transactions on Image Processing, vol 11, Issue 9, pp 1112 1116, Sept. 2002 .
  13. M. Akter, M. B. I. Reaz, F. Mohd-Yasin, and F. Choong, "A Modified-Set Partitioning in Hierarchical Trees Algorithm for Real-Time Image Compression", ISSN 1064-2269, Journal of Communications Technology and Electronics, 2008, Vol. 53, No. 6, pp. 642–650. © Pleiades Publishing, Inc. , 2008.
  14. Kazi Rafiqul Islam, Md. Anwarul Abedin, Masuma Akter, and Rupam Deb "High Speed ECG Image Compression Using Modified SPIHT" International Journal of Computer and Electrical Engineering, Vol. 3, No. 3, June 2011.
  15. M. Blanco-Velasco, F. Cruz-Roldan, J. Godino-Llorente, and K. Barner, "Wavelet packets feasibility study for the design of an ECG compressor," IEEE Trans. Biomed. Eng. , vol. 54, no. 4, pp. 766–769, Apr. 2007.
  16. G. Mohana Priya, P. Vasanthi Kumari,"Compression of Quasi-Group Encrypted Grayscale Images", International Journal of Scientific and Research Publications, Volume 2, Issue 7, July 2012.
  17. Maruti Venkat Kartik Satti, "Quasi Group based Crypto-System", A Thesis, 2007.
  18. Koscienly, C. 2002. Generating quasi groups for cryptographic applications. Int. J. Appl. Math. Comput. Sci. , vol. 12, No. 4, 559–569.
  19. Eliska Ochodkova, Pavel Kromer, Jin Dvorsky, Jan Platos, Ajith Abraham, Vaclav Snasel, "Genetic Search for Quasigroups with Heterogeneous Power Sequences", Third World Congress on Nature and Biologically Inspired Computing (NaBIC), 2011.
  20. M. Mitchell, An Introduction to Genetic Algorithms. Cambridge, MA: MIT Press, 1996.
  21. V. Snasel, A. Abraham, J. Dvorsky, E. Ochodkova, J. Platos, and P. Kromer, "Searching for quasigroups for hash functions with genetic algorithms," in World Congress on Nature & Biologically Inspired Computing, pp. 367 – 372, IEEE Computer Society, 2009.
  22. V. Snasel, J. Dvorsky, E. Ochodkova, P. Kromer, J. Platos, and A. Abraham, "Genetic algorithms evolving quasigroups with good pseudorandom properties," in ICCSA (3) , vol. 6018 of Lecture Notes in Computer Science, pp. 472–482, Springer, 2010.
  23. V. Snasel, J. Dvorsky, E. Ochodkova, P. Kromer, J. Platos, and A. Abraham, "Evolving quasigroups by genetic algorithms," in DATESO, vol. 567 of CEUR Workshop Proceedings, pp. 108–117, 2010. ISSN 1613-0073.
  24. E. Ochodkova, J. Dvorsky, V. Snasel, and A. Abraham, "Testing quasigroup identities using product of sequence," in DATESO , vol. 567 of CEUR Workshop Proceedings, pp. 155– 162, CEUR-WS. org, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Quasi group Encryption ECG data Cryptographic Encryption Genetic Algorithm SPHIT Compression