Izharuddin
Omar Farooq
ABSTRACT
In this paper, implementation of chaotic sequence generators on Field Programmable Gate Array (FPGA) devices are presented. The chaotic sequence generators designed here are based on two different chaotic map functions The Logistic Map and the Tent Map functions. Many properties of these chaotic sequences are similar to pseudorandom sequences (pn-sequences), used for cryptography and hence it can also be used for encrypting the signals and data, for security purposes. A novel representation of floating-point number and a balanced architecture for hardware design have facilitated in reduction of hardware and power consumption. The chaotic generator designed here, consume less power and have better speed and the hardware usage is less than similar work. Maximum frequency of operation for the system designed in this work are 35.442 MHz and 26.134MHz for Tent map based and Logistic map based system respectively The randomness of the sequence generated by the chaotic generators is analyzed.by NIST test suit, to test for its randomness.
- Adriana Vlad, Azeem Ilyas and Luca Adrian, 2013. Unifying running-key approach and logistic map to generate enciphering sequences, Ann. Telecommun. (2013) 68:179--186.Google Scholar
- Amault Francois and Berger Thierry P., 2005 Design and Properties of a New Pseudorandom Generator Based on Filtered FCSR Automation, Ieee Transaction on Computer, Vol. 54, No. 11, pp. 1374--1383. Google ScholarDigital Library
- Azzaz M. S., Tanougast C., Sadoudi S. and Dandache A., 2011. New Hardware cryptosystem bases chaos for the secure real-time of embedded applications, Workshop on Signal Processing Systems 2011, pp. 251254.Google Scholar
- Chin-Feng Lin, 2013. Chaos-Based 2D Visual Encryption Mechanism for ECG Medical Signal, Horizon in Computer Science Research, Vol. 4, Chapter 11, ISBN 978-1-61324-262-9.Google Scholar
- Ching-Kun Chen and Chun-Liang Lin, 2010. 'Text encryption using ECG signals with Chaotic Logistic Map', Proceedings 5th IEEE Conference on Industrial Electronics and Applications, pp. 1741--1746.Google ScholarCross Ref
- Deergha K. Rao and Ch. Gangadhar, 2011. VLSI Realization of a secure cryptosystem for Image encryption and decryption, International Conference on Signal Processing 2011, pp. 543--547.Google Scholar
- Elwakil A. S. and Kennedy M. P. 2000. Improved Implimentation of Chua's Chaotic Oscillator Using Current Feedback Op Amp, IEEE Transaction on Circuits and Systems, Part I, Vol. 47, No. 1, pp. 76--79.Google Scholar
- Farooq Omar and Datta Sekharjit, 2006. Signal-Dependent Chaotic-State-Modulated Digital Secure Communication, ETRI Journal, vol. 28, no. 2, pp. 250--252.Google ScholarCross Ref
- Kennedy M. P., 1993. Three steps to Chaos -- Part I: Evolution, part II: a Chua circuit primer, IEEE transaction on Circuits and systems -- i: Fundamental Theory and Applications, Vol. 40, pp. 640--674.Google Scholar
- Khanzadi Himan, Eshghi Mohammad and Borujeni Shahram Etmadi, 2013., Design and FPGA Implimentation of a Pseudo Random Bit Generator Using Chaotic Maps, IETE Journal of Research, Vol. 59, No. 1, pp. 63--73Google ScholarCross Ref
- Linhua Zhang, Xiaofeng Liao and Xuebing Wang, 2005. An image encryption approach based on chaotic maps, Science Direct, Elsevier, Chaos, Solitons and Fractals, pp. 759--765.Google Scholar
- Merah Lahcene, Adda Ali-Pacha, Naima Hadj and Mustafa Mamat, 2013. A Pseudo Random Number Generator Based on the Chaotic System of Chua's Circuit, and its Real Time FPGA Implimentation, Applied Mathematical Science, Vol. 7 No. 55 pp. 2719--2734.Google Scholar
- Merah Lahcene, Adda Ali-Pacha, Naima Hadj and Mustafa Mamat, 2013. Design and FPGA Implimentation of Lorenz Chaotic System for Information Security Issues, Applied Mathematical Science, Vol. 7 No. 5 pp. 237--246.Google Scholar
- Nejati Hamid, Beirami Ahmad, and Ali H. Warsame, 2012. Discrete Time Chaotic-Map Truly Random Number Generators Design, Implementation and Variability Analysis of the Zigzag Map, Journals of Analog and Integrated Circuit and Signal processing Springer, Vol. 73, pp. 363--374. Google ScholarDigital Library
- Parveen S, Prashar S and Izharuddin, 2011. Technique for providing security in medical signals IMPACT, IEEE proceedings of international conference on Multimedia, Signal processing and communication Technology, pp. 68--71.Google Scholar
- Razzaq Abdul, Mahmood Yasir, Ahmad Farooq and Hur Ali, 2012. Strong Key Mechanism generated by LFSR based Vigenera Cipher, Proceedings of 13th International Arab Conference on Information Technology ACIT2012, pp. 544--548.Google Scholar
- Richard A. Guinee and Marta Blaszczyk, 2009. A Novel True Random Binary Sequence Generator Based On Chaotc Double Scroll Oscillator Combination With A Pseudo Random Generator For Cryptographic Applications, Proceedings of IEEE International conference for Internet Technology and Secure Transaction, ICITST, pp. 1--6.Google Scholar
- Sadoudi Said, Salah Mohamed Azzaz, Djeddou Mustapha and Benssalah Mustapah, 2009. An FPGA based Real-time Implementation of the Chen's Chaotic System for Securing Chaotic Communications "International Journal of Nonlinear Science," Vol. 7, No. 4 pp. 467--474.Google Scholar
- Shiguo Lian, Xi Chen, Yuan Dong and Haila Wang, 2010. On the Secure Multimedia Distribution Scheme Based on Partial Encryption, Proceedings of International Conference on Communications IEEE, pp. 1--5.Google ScholarCross Ref
- Stojanovski T. and Kocarev L. 2001 Chaos based random number generators Part I: Analysis, IEEE Trans. Circuits Syst. I, vol. 48, pp. 281--288, Mar. 2001.Google ScholarCross Ref
- Sufi F, Han F, Khalil I, and Hu J, 2011. A chaos-based encryption technique to protect ECG packets for time critical telecardiology applications, Security Communication Networks Wiley InterScience Published online, DOI: 10.1002/sec.226, Vol. 4, Issue 6, pp. 515--524.Google Scholar
- Sukalyan Soma and Sayani Senb, 2013. A Non-adaptive Partial Encryption of Grayscale Images Based on Chaos, Proceeding of first International Conference on Computational Intelligence: Modelling, Techniques and Applications (CIMTA-2013), pp. 663--671.Google Scholar
- Taiki Yamazaki and Atsushi Uchida, 2013. Performance of Random Number Generators Using Noise-Based Superluminescent Diode and Chaos Based Semiconductor Laser, IEEE Journal of Selected Topics in Quantum Electronics, Vol. 19, No. 4Google ScholarCross Ref
- Yalcin M. E., Suykens J. A. K. and Vandewalle J., 2004. True random bit generation from a double-scroll attractor, IEEE transaction on circuit and systems -- I, Vol. 51, No. 7.Google Scholar
- Implementation of Hardware Efficient Chaotic Generators for Signal Security in Portable Systems
Recommendations
A chaotic encryption scheme for real-time embedded systems: design and implementation
Chaotic encryption schemes are believed to provide greater level of security than conventional ciphers. In this paper, a chaotic stream cipher is first constructed and then its hardware implementation details over Xilinx Virtex-6 FPGA are provided. ...
High speed FPGA-based chaotic oscillator design
Highlights- This paper, the autonomous Lü-Chen (2002) chaotic system was implemented on FPGA to improve embedded chaos-based engineering applications.
AbstractIn this study, autonomous Lü-Chen (2002) chaotic system has been implemented on FPGA using Heun numerical algorithm in VHDL 32-bit IQ-Math fixed-point number format for developing embedded chaos-based engineering applications. The core ...
Xilinx Adaptive Compute Acceleration Platform: VersalTM Architecture
FPGA '19: Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate ArraysIn this paper we describe Xilinx's Versal-Adaptive Compute Acceleration Platform (ACAP). ACAP is a hybrid compute platform that tightly integrates traditional FPGA programmable fabric, software programmable processors and software programmable ...
Comments