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Secure GPRS Data Systems Based on 3D-Discrete Wavelet and Multiwavelet Transformations
American Journal of Embedded Systems and Applications
Volume 3, Issue 2, March 2015, Pages: 11-22
Received: Feb. 27, 2015; Accepted: Mar. 13, 2015; Published: Apr. 14, 2015
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Laith Ali Abdul-Rahaim, Electrical Engineering Department, Babylon University, Babil, Iraq
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This paper shows a new efficient data delivery method based on three dimensional discrete Multiwavelet transformations Critically Sampled (3D-DMWTCS). This method was been done by get the data from any data source then catted the stream data to a packets of A certain length then each of these packet will convert to a square matrix, and then collected these square matrices in three dimensional matrix form. The 3D - discrete Multiwavelet transforms Critically Sampled (3D-DMWTCS) will be applied to each three dimensional matrix form and the output of this procedure will be also in three dimensional matrix forms and contain 3D-DMWTCS coefficient as real numbers. After this stage, the 3D matrix will be converting to square matrix and then to serial data stream of samples, then will be sending through USB port to SIM908 GSM GPRS module that must secure a connection between two or more communication points. As well as this encryption method can be done using three dimensional discrete wavelet transformations (3D-DWT) and (2D-DMWTCS) and (2D-DWT). The purposed of these methods is to maintain the confidentiality of the information sent, whether it is written texts, or data, or talk speech, and it is done with a high data rate and excellent coding. It is impossible or difficult to decrypt these methods without knowing how these encryption systems are build. The decryption is done by extracting the encrypted data from the Multiwavelet decomposition vector using the algorithm of inverse of 3D-Discrete Multiwavelet Transformation. The encrypted messages that send to other points consists 3D-DMWTCS decomposition vector. The encryption key that used in this method is 3D-DMWTCS method so the decryption key will be 3D-IDMWTCS. Due to the GSM GPRS mobile communications systems mostly use OFDM technology, therefore these technology has been used in the designed of wireless communication transceivers system using MATLAB2014a to simulate GSM GPRS under multichannel types and run the simulations to determine the specifications of these cryptographic systems under various conditions. The simulation results proved that these methods are retrieving the security and improve the performance of the communications system.
3D-DMWTCS, 3D-DWT Cryptography, GPRS, OFDM, SIM908, UDP, TCP
To cite this article
Laith Ali Abdul-Rahaim, Secure GPRS Data Systems Based on 3D-Discrete Wavelet and Multiwavelet Transformations, American Journal of Embedded Systems and Applications. Vol. 3, No. 2, 2015, pp. 11-22. doi: 10.11648/j.ajesa.20150302.11
Sim Tech, SIM 908 Hardware Design. V. 2.00. 2012.
ElBahlul, E., Ararab A. "Technical Requirements Of New Framework For GPRS Security Protocol Mobile Banking Application," Procedia Computer Science vol 37 pp 451 – 456, 2014.
S. Irtaza, A .Habib and Q. Islam, "Performance Comparison of LTE Transmission Modes in High Speed Channels Using Soft Sphere Decoder", International Journal of Engineering & Technology IJET-IJENS Vol.12, pp.73-77, June 2012.
Nakka V.& Kabirdas A., "Design and realization of augmented reality based navigation assistance system", Intr. J. of computer science and information technologies,Vol.2(6), , pp2842-2846, 2011.
Pani D., Barabino G., Dessì A., Mathieu A., and Raffo L., ``A portable realtime monitoring system for kinesitherapic hand rehabilitation exercises,'' in Proc. 5th Int. Joint Conf. Biomed. Eng. Syst. Technol., pp. 8289, 2012.
D. Evans, “The internet of things, how the next evolution of the internetis changing everything,” Cisco Internet Business Solutions Group, Tech.Rep., 2011.
Michel Misiti, Yves Misiti, Georges Oppenheim, Jean-Michel Poggi "Wavelet Toolbox For Use with MATLAB ®," The MathWorks, Inc, 2002.
Hartono P., Lanny A., Yosephat S. and Rofieko T., " GPS Based Vehicle Tracking Over GPRS For Fleet management And Passenger/ Payload/ Vehicle Security,", ARPN Journal of Engineering and Applied Sciences, vol. 9, no. 11, November 2014.
Ahmed J., “Transform-Domain and DSP Based Secure Speech Communication”. Ph.D. dissertation, Hamdard Institute of Information Technology, 2007.
Haruna Matsushita, and Yoshifumi Nishio, “Self-Organizing Map with Weighted Connections Avoiding False-Neighbor Effects “,IEEE international symposium on circuit and systems ISCAS.. pp 2554-2557, June 2010
AM.Kozae, AA Abo Khadra, and T Medhat “Prediction of Decision for New Data “, IJEST International Journal of Engineering Scienceand Technology. 2010.
Y. Han; X. Que; W. Wang; K. Shuang; M. Huang, "Study on wireless resource consumption of mobile applications in GPRS," 3rd International Conference on Consumer Electronics, Communications and Networks (CECNet), , vol., no., pp.636,640, 20-22 Nov. 2013
Pauls, F.; Krone, S.; Nitzold, W.; Fettweis, G.; Flores, C., "Evaluation of Efficient Modes of Operation of GSM/GPRS Modules for M2M Communications," Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th , vol., no., pp.1,6, 2-5 Sept. 2013
J.-H. Yeh, J.-C. Chen, and C.-C. Lee, “Comparative analysis of energy saving techniques in 3gpp and 3gpp2 systems,” Vehicular Technology, IEEE Transactions on, vol. 58, no. 1, pp. 432–448, 2009.
Richard E. Blahut, "Fast Algorithms for Signal Processing," Cambridge University Press, 2010.
John J. Benedetto, "Applied and Numerical Harmonic Analysis: Frames and Bases,” Birkha¨user Boston, 2008.
S. Mallat. A Theory for Multiresolution Signal Decomposition: the Wavelet Representation. IEEE Transaction on Pattern Analysis and Machine Intelligence, 11, pp. 674-693, 1989 H. Simpson, Dumb Robots, 3rd ed., Springfield: UOS Press, 2004, pp.6-9.
Bruce K., “Multiwavelets for Quantitative Pattern Matching” Proceedings of the 42nd Hawaii International Conference on System Sciences, pp 1- 10, 2009.
M. Weeks, et al, “Discrete Wavelet Transform: Architectures, Design and Performance Issues,” Journal of VLSI Signal Processing 35, 155–178, 2003.
Matheel E., Rabab F., “Novel Video Denoising Using 3-D Transformation Techniques,” International Journal of Engineering and Advanced Technology (IJEAT), Volume-2, Issue-5, June 2013
Abdul-Rahaim L., Muneer A. " Design of Secure Ad Hoc Network Using Three Dimensional Discrete Wavelet Transformation Based on Performance Enhancement. American Journal of Networks and Communications. Special Issue: Ad Hoc Networks.Vol. 4, No. 3-1, pp. 35-44, 2015.
Galiana-Merino J.J,. Rosa-Herranz J.L, Rosa-Cintas S., and Martinez-Espla J.J.," SeismicWaveTool: Continuous and discrete wavelet analysis and filtering for multichannel seismic data", Computer Physics Communications,Vol. 184, PP. 162-171 , 2013 .
N. Sriraam and R. Shyamsunder. “3-D Medical Image Compression Using 3-DWavelet Coders”, Digital Signal Processing, 21(1):100–109, January 2011.
Al-Taai H. N., "Computationally efficient wavelet based algorithms for optical flow estimation ", Ph.D. Thesis, Univ. of Technology, Electrical and electronic engineering, Dep., Oct.2005.
El-Anzy L., " Design and Simulation of STBC-(OFDM and CDMA) Transceivers based on Hybrid Transforms ", Ph.D. Thesis, Univ. of Technology, Electrical and electronic engineering, Dep., Oct.2006.
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