Cluster based authentication for Vanet for improving the security
Keywords:
VANET, V2V communication, Cluster based security, RSU, DSRCAbstract
In Vehicular Ad Hoc Networks (VANET), vehicles communicate with another vehicle and also communicate with infrastructure (RSU) points by broadcasting safety and non-safety messages in the network by using the DSRC. In wireless communication, security and privacy are very important issues to avoid threat in the network. Cluster based vehicle to vehicle (V2V) communication scheme is proposed here which prevents vehicle from threat. To achieve security and privacy goals, we propose one time authentication for group and then V2V communication is done using group symmetric key within group. Our scheme satisfies all security and privacy requirements such as authentication, non-repudiation and conditional traceability. In case of malicious activity, this scheme can trace malicious vehicle which generates a false message. Computation and communication cost is improved as compared and analyzed with other previous schemes.
References
Global status report on non-communicable diseases 2010. [Online]. Available: https://healthyoupromo.wordpress.com/
Maedeh Kiani Sarkaleh and Asadollah Shahbahrami, ―Classification of ECG arrhythmias using discrete wavelet transform and neural networks,‖ International Journal of Computer Science, Engineering and Applications (IJCSEA), 2(1): 1-13, 2012. DOI : 10.5121/ijcsea.2012.2101
Naveen Kumar Dewangan and S.P. Shukla, ―A survey on ECG signal feature extraction and analysis techniques,‖ International journal of innovative research in electrical, electronics, instrumentation and control engineering, 3(6), June 2015. DOI 10.17148/IJIREEICE.2015.3603.
B. Castro, D. Kogan and A. B. Geva, ―ECG feature extraction using optimal mother wavelet,‖ The 21st IEEE convention of the Electrical and electronic engineers, Tel Aviv, Israel, 346–350, 2000. doi:10.1109/EEEI.2000.924422.
I. Clarek, R Biscay., M.ía Echeverr and T.és Viru, ―Multiresolution decomposition of non- stationary EEG signals: A preliminary Study,‖ Comput. Biol. Med. 25, 373-382, 1995.
C.Li, C. Zheng, C. Tai, ―Detection of ECG characteristic points using wavelet transform,‖ IEEE Trans. Biomed. Eng. 42, 21-28, 1995.
A. Ahmadian, S. Karimifard, H. Sadoughi and M. Abdoli, ―An Efficient piecewise modeling of ECG signals based on hermitian basis functions,‖ Proceedings of the 29th Annual International Conference of the IEEE EMBS, Lyon, France, pp. 3180-3183, 2007.
K.S. Park, B.H. Cho, D.H. Lee, S.H. Song, ―Hierarchical support vector machine based heartbeat classification using higher order statistics and hermite basis function,‖ Computers in Cardiology Published by IEEE, International Conference at Bologna, 229-232, 2008.
W. Zong, D. Jiang, ―Automated ECG rhythm analysis using fuzzy reasoning,‖ IEEE Conference, Computers in Cardiology, Cleveland, OH, 69–72, 1998.
Rosaria Silipo and Carlo Marchesi, ―Artificial neural networks for automatic ECG analysis‖, IEEE Transcations on Signal Processing, 46(5): 1417-1425, 1998.
Indu Saini and B. S. Saini, ―Cardiac arrhythmia classification using error back propagation method,‖ International Journal of Computer Theory and Engineering, 4(3): 462-464, 2012.
Louis C Pretorius and Cobus Nel, ―Feature extraction from ECG for classification by artificial neural network,‖ University of Pretoria, in IEEE Proceeding, 2002.
A. Coast Douglas, M. Stern Richard, G. Cano Gerald and A. Briller Stanley, ―An approach to cardiac arrhythmia analysis using hidden markov models,‖ IEEE Transaction on Biomed Eng., 37(9): 826-836, 1990.
W. T. Cheng, and K. L. Chan, ―Classification of electrocardiogram using HMMs,‖ Engineering in Medicine and Biology Society, Proceedings of the 20th Annual International Conference of the IEEE, vol.1: 143-146, 1998.
Varejão Andreão Rodrigo, Bernadette Dorizzi, Jérôme Boudy, ―ECG signal analysis through hidden markov models,‖ IEEE Transactions on Biomedical Engineering, 53 (8), 1541-1549, 2006.
M. Lagerholm, C. Peterson, G. Braccini, L. Edenbrandt and L. Sörnmo, ―Clustering ECG Complexes using Hermite Functions and SelfOrganizing Maps,‖ IEEE Trans Biomed Eng., 47(7): 838-48, 2000.
Stanislaw Osowski, Linh Tran Hoai, and Tomasz Markiewicz, ―SVM based expert system for reliable heartbeat recognition‖, IEEE Transactions on Biomedical Engineering, 51(4): 582-589, 2004.
Neelambike S, Dr chandrika J---, An efficient environmental model considering environmental factor for V2I application services,IEEE, 2015 DOI- 10.1109/ICCIC.2015.7435731
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