Medical image encryption using edge maps

This paper presents a medical image encryption algorithm using edge maps derived from a source image. The algorithm is composed by three parts: bit-plane decomposition, generator of random sequence, and permutation. It offers users the following flexibilities: (1) any type of images can be used as the source image; (2) different edge maps can be generated by various edge detectors and thresholds; (3) selection of appropriate bit-plane decomposition method is flexible; (4) many permutation methods can be cascaded with the proposed algorithm. A significantly large key space and strong key sensitive are possessed by the proposed algorithm to protect different types of medical images. Furthermore, it has a wider applicability than other methods for fuzzy edge maps. Experiments and security analysis further demonstrate that it has a strong resistance against various security attacks and outperforms other state-of-the-art methods. HighlightsA lossless edge maps based image cryptosystem for medical image is proposed.Many kinds of edge maps with various edge detectors can be applied as the keys.The algorithm costs little time with a machine-friendly binary system.The scheme shows a higher security level with other state-of-the-art methods.

[1]  Chul Sur,et al.  Region-Based Selective Encryption for Medical Imaging , 2007, FAW.

[2]  Sos S. Agaian,et al.  (n, k, p)-Gray code for image systems , 2013, IEEE Transactions on Cybernetics.

[3]  Nikolaos G. Bourbakis,et al.  A general quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks , 2008, Signal Process. Image Commun..

[4]  Guanrong Chen,et al.  On the security defects of an image encryption scheme , 2009, Image Vis. Comput..

[5]  Yicong Zhou,et al.  Cascade Chaotic System With Applications , 2015, IEEE Transactions on Cybernetics.

[6]  Jong Chul Ye,et al.  k‐t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI , 2009, Magnetic resonance in medicine.

[7]  Sos S. Agaian,et al.  Design of image cipher using latin squares , 2014, Inf. Sci..

[8]  Christian Roux,et al.  A Joint Encryption/Watermarking System for Verifying the Reliability of Medical Images , 2012, IEEE Transactions on Information Technology in Biomedicine.

[9]  Sushmita Mitra,et al.  Medical image analysis for cancer management in natural computing framework , 2015, Inf. Sci..

[10]  Vania Conan,et al.  A proposal for supporting selective encryption in JPSEC , 2003, IEEE Trans. Consumer Electron..

[11]  Zhiliang Zhu,et al.  Medical Image Encryption and Compression Scheme Using Compressive Sensing and Pixel Swapping Based Permutation Approach , 2015 .

[12]  Safwan El Assad,et al.  Improvement of the Security of ZigBee by a New Chaotic Algorithm , 2014, IEEE Systems Journal.

[13]  Yicong Zhou,et al.  Image encryption using a new parametric switching chaotic system , 2013, Signal Process..

[14]  Xiaobo Li,et al.  Partial encryption of compressed images and videos , 2000, IEEE Trans. Signal Process..

[15]  Sos S. Agaian,et al.  Image encryption using P-Fibonacci transform and decomposition , 2012 .

[16]  Osama S. Faragallah Efficient confusion–diffusion chaotic image cryptosystem using enhanced standard map , 2015, Signal Image Video Process..

[17]  Mark Johnston,et al.  A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images , 2013, Inf. Sci..

[18]  Qiang Chen,et al.  Active contours driven by local likelihood image fitting energy for image segmentation , 2015, Inf. Sci..

[19]  Gouenou Coatrieux,et al.  A joint encryption/watermarking algorithm for verifying the reliability of medical images: Application to echographic images , 2012, Comput. Methods Programs Biomed..

[20]  Mathews Jacob,et al.  Design of steerable filters for feature detection using canny-like criteria , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Wilhelm Burger,et al.  Digital Image Processing - An Algorithmic Introduction using Java , 2008, Texts in Computer Science.

[22]  Wei Zhang,et al.  A chaos-based symmetric image encryption scheme using a bit-level permutation , 2011, Inf. Sci..

[23]  Hung-I Hsiao,et al.  Fingerprint image cryptography based on multiple chaotic systems , 2015, Signal Process..

[24]  Jing Huang,et al.  A novel iris segmentation using radial-suppression edge detection , 2009, Signal Process..

[25]  Kwok-Tung Lo,et al.  Optimal quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks , 2011, Signal Process..

[26]  Chengqing Li,et al.  Cracking a hierarchical chaotic image encryption algorithm based on permutation , 2015, Signal Process..

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

[28]  Gonzalo Álvarez,et al.  Analysis of security problems in a medical image encryption system , 2007, Comput. Biol. Medicine.

[29]  Rastislav Lukac,et al.  Efficient encryption of wavelet-based coded color images , 2005, Pattern Recognit..

[30]  S. Agaian,et al.  NPCR and UACI Randomness Tests for Image Encryption , 2011 .

[31]  Suman K. Mitra,et al.  Rough set based image denoising for brain MR images , 2014, Signal Process..

[32]  Hayit Greenspan,et al.  Image enhancement by nonlinear extrapolation in frequency space , 2000, IEEE Trans. Image Process..

[33]  Tao Xie,et al.  Breaking a novel image encryption scheme based on improved hyperchaotic sequences , 2012, Nonlinear Dynamics.

[34]  Yicong Zhou,et al.  Image encryption using 2D Logistic-adjusted-Sine map , 2016, Inf. Sci..

[35]  Yicong Zhou,et al.  Image encryption using binary bitplane , 2014, Signal Process..

[36]  Yicong Zhou,et al.  2D Sine Logistic modulation map for image encryption , 2015, Inf. Sci..

[37]  Jiwu Huang,et al.  A reversible data hiding method with contrast enhancement for medical images , 2015, J. Vis. Commun. Image Represent..

[38]  H K Huang,et al.  Medical image security in a HIPAA mandated PACS environment. , 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[39]  Lucas J. van Vliet,et al.  The digital signal processing handbook , 1998 .