An efficient and secure partial image encryption for wireless multimedia sensor networks using discrete wavelet transform, chaotic maps and substitution box

Abstract Wireless Sensor Networks (WSN) is widely deployed in monitoring of some physical activity and/or environmental conditions. Data gathered from WSN is transmitted via network to a central location for further processing. Numerous applications of WSN can be found in smart homes, intelligent buildings, health care, energy efficient smart grids and industrial control systems. In recent years, computer scientists has focused towards findings more applications of WSN in multimedia technologies, i.e. audio, video and digital images. Due to bulky nature of multimedia data, WSN process a large volume of multimedia data which significantly increases computational complexity and hence reduces battery time. With respect to battery life constraints, image compression in addition with secure transmission over a wide ranged sensor network is an emerging and challenging task in Wireless Multimedia Sensor Networks. Due to the open nature of the Internet, transmission of data must be secure through a process known as encryption. As a result, there is an intensive demand for such schemes that is energy efficient as well as highly secure since decades. In this paper, discrete wavelet-based partial image encryption scheme using hashing algorithm, chaotic maps and Hussain’s S-Box is reported. The plaintext image is compressed via discrete wavelet transform and then the image is shuffled column-wise and row wise-wise via Piece-wise Linear Chaotic Map (PWLCM) and Nonlinear Chaotic Algorithm, respectively. To get higher security, initial conditions for PWLCM are made dependent on hash function. The permuted image is bitwise XORed with random matrix generated from Intertwining Logistic map. To enhance the security further, final ciphertext is obtained after substituting all elements with Hussain’s substitution box. Experimental and statistical results confirm the strength of the anticipated scheme.

[1]  Jing Lv,et al.  Generalized varying index coefficient models , 2016, J. Comput. Appl. Math..

[2]  R. S. Bhuvaneswaran,et al.  An intertwining chaotic maps based image encryption scheme , 2012 .

[3]  Chengqing Li,et al.  Cryptanalyzing image encryption using chaotic logistic map , 2013, Nonlinear Dynamics.

[4]  Hesham A. Ali,et al.  Image compression algorithms in wireless multimedia sensor networks: A survey , 2015 .

[5]  Yong Zhang,et al.  Cryptanalysis of a novel image fusion encryption algorithm based on DNA sequence operation and hyper-chaotic system , 2015 .

[6]  Muhammad Khurram Khan,et al.  Cryptanalysis and Improvement of "An Efficient and Secure Dynamic ID-based Authentication Scheme for Telecare Medical Information Systems" , 2014, Secur. Commun. Networks.

[7]  Musheer Ahmad,et al.  Cryptanalysis of Image Encryption Based on Permutation-Substitution Using Chaotic Map and Latin Square Image Cipher , 2014, FICTA.

[8]  Yu-Kwong Kwok,et al.  Computation and energy efficient image processing in wireless sensor networks based on reconfigurable computing , 2006, 2006 International Conference on Parallel Processing Workshops (ICPPW'06).

[9]  Ian F. Akyildiz,et al.  A survey on wireless multimedia sensor networks , 2007, Comput. Networks.

[10]  Heejo Lee,et al.  SRMT: A Lightweight Encryption Scheme for Secure Real-time Multimedia Transmission , 2007, 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07).

[11]  Safya Belghith,et al.  Selective image encryption scheme based on DWT, AES S-box and chaotic permutation , 2015, 2015 International Wireless Communications and Mobile Computing Conference (IWCMC).

[12]  Tariq Shah,et al.  A novel approach for designing substitution-boxes based on nonlinear chaotic algorithm , 2012, Nonlinear Dynamics.

[13]  Anthony Vetro,et al.  Energy efficient JPEG 2000 image transmission over wireless sensor networks , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[14]  Gabriel Maciá-Fernández,et al.  Efficient multimedia transmission in wireless sensor networks , 2010, 6th EURO-NGI Conference on Next Generation Internet.

[15]  Xingyuan Wang,et al.  Image encryption using Game of Life permutation and PWLCM chaotic system , 2012 .

[16]  Seong Oun Hwang,et al.  An Experimental Comparison of Chaotic and Non-chaotic Image Encryption Schemes , 2015, Wirel. Pers. Commun..

[17]  V. Srividhya,et al.  ENERGY EFFICIENT DISTRIBUTED IMAGE COMPRESSION USING JPEG2000 IN WIRELESS SENSOR NETWORKS (WSNS) , 2013 .

[18]  Tariq Shah,et al.  An efficient image encryption algorithm based on S8 S-box transformation and NCA map , 2012 .

[19]  Zhiqiang Li,et al.  Design and Implementation in Image Compression Encryption of Digital Chaos Based on MATLAB , 2014, ECC.

[20]  Wei Wang,et al.  A Novel Encryption Algorithm Based on DWT and Multichaos Mapping , 2016, J. Sensors.

[21]  Seong Oun Hwang,et al.  A secure image encryption scheme based on chaotic maps and affine transformation , 2015, Multimedia Tools and Applications.

[22]  Xingyuan Wang,et al.  A novel image encryption algorithm using chaos and reversible cellular automata , 2013, Commun. Nonlinear Sci. Numer. Simul..

[23]  Zhijuan Hu,et al.  Optical image encryption using optical scanning and fingerprint keys , 2016 .

[24]  Nicolas Krommenacker,et al.  Energy-efficient image transmission in sensor networks , 2008, Int. J. Sens. Networks.

[25]  Xin Zhang,et al.  A new chaotic algorithm for image encryption , 2006 .

[26]  Tariq Shah,et al.  A Novel Statistical Analysis of Chaotic S-box in Image Encryption , 2014 .

[27]  Amir Akhavan,et al.  Cryptanalysis of “an improvement over an image encryption method based on total shuffling” , 2015 .

[28]  Seong Oun Hwang,et al.  A compression sensing and noise-tolerant image encryption scheme based on chaotic maps and orthogonal matrices , 2016, Neural Computing and Applications.

[29]  M. Sheik Dawood,et al.  Image Compression in Wireless sensor networks- A survey , 2012 .

[30]  Tao Xie,et al.  Breaking a novel image fusion encryption algorithm based on DNA sequence operation and hyper-chaotic system , 2014 .

[31]  Di Xiao,et al.  Cryptanalysis of image scrambling based on chaotic sequences and Vigenère cipher , 2014 .

[32]  Amr H. Hussein,et al.  Efficient selective image encryption , 2016, Multimedia Tools and Applications.

[33]  Tariq Shah,et al.  A projective general linear group based algorithm for the construction of substitution box for block ciphers , 2012, Neural Computing and Applications.

[34]  Ch. Gangadhar,et al.  Finite field DWT and MCKBA for image encryption and its VLSI realization , 2011, 2011 8th International Conference on Information, Communications & Signal Processing.

[35]  Vijay Ramaraju,et al.  Energy Efficient Image Transmission In Wireless Multimedia Sensor Networks , 2014 .

[36]  Amina Souyah,et al.  An image encryption scheme combining chaos-memory cellular automata and weighted histogram , 2016, Nonlinear Dynamics.

[37]  Jean-Marie Moureaux,et al.  FPGA-based image compression for low-power Wireless Camera Sensor Networks , 2011, 2011 3rd International Conference on Next Generation Networks and Services (NGNS).

[38]  Seong Oun Hwang,et al.  Chaos-based diffusion for highly autocorrelated data in encryption algorithms , 2015, Nonlinear Dynamics.

[39]  Abdelhamid Helali,et al.  Energy conservation for image transmission over wireless sensor networks , 2011, ICM 2011 Proceeding.

[40]  Sesh Commuri,et al.  Run time compression of image data in wireless sensor networks , 2010, 2010 International Conference on Networking, Sensing and Control (ICNSC).

[41]  Zeeshan Ahmed,et al.  A Technique for Designing Substitution Box Based on Van der Pol Oscillator , 2015, Wirel. Pers. Commun..

[42]  K. Deergha Rao,et al.  Modified Chaotic Key-Based Algorithm for Image Encryption and its VLSI Realization , 2007, 2007 15th International Conference on Digital Signal Processing.

[43]  Tariq Shah,et al.  An efficient technique for the construction of substitution box with chaotic partial differential equation , 2013, Nonlinear Dynamics.

[44]  Zhiliang Zhu,et al.  Cryptanalysis and improvement of an optical image encryption scheme using a chaotic Baker map and double random phase encoding , 2014 .

[45]  Tariq Shah,et al.  A group theoretic approach to construct cryptographically strong substitution boxes , 2012, Neural Computing and Applications.

[46]  Xing-yuan Wang,et al.  Image encryption using genetic operators and intertwining logistic map , 2014, Nonlinear Dynamics.

[47]  Abdelhamid Helali,et al.  Energy-efficient wavelet image compression in Wireless Sensor Network , 2010, 2010 International Conference on Wireless and Ubiquitous Systems.

[48]  Chittaranjan Pradhan,et al.  Non Blind Digital Watermarking Technique Using DWT and Cross Chaos , 2012 .

[49]  Richard Demo Souza,et al.  Energy-efficient cooperative image transmission over wireless sensor networks , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[50]  Guodong Ye,et al.  Image scrambling encryption algorithm of pixel bit based on chaos map , 2010, Pattern Recognit. Lett..

[51]  Xuanqin Mou,et al.  Chaotic encryption scheme for real-time digital video , 2002, IS&T/SPIE Electronic Imaging.

[52]  Tariq Shah,et al.  A novel technique for the construction of strong S-boxes based on chaotic Lorenz systems , 2012, Nonlinear Dynamics.

[53]  Zhiliang Zhu,et al.  Cryptanalysis and Improvement of an Efficient and Secure Medical Image Protection Scheme , 2015 .