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Background Information and Related Works

  • Rohit M. Thanki
  • Vedvyas J. Dwivedi
  • Komal R. Borisagar
Chapter
Part of the Signals and Communication Technology book series (SCT)

Abstract

This chapter presents literature review in context to existing works with an aim of identifying the present state of research in this domain. This chapter also presents background information regarding biometric watermarking technique and compressive sensing (CS) theory-based encryption technique. The multibiometric watermarking technique is one of the types of biometric watermarking technique. This chapter described application of CS theory in information security field.

Keywords

Biometric CS theory Cryptography Decryption Encryption Fragile Robust Recognition L1 minimization OMP Watermarking 

References

  1. Agrawal, M. (2007). Design approaches for multimodal biometric system. M. Tech. thesis, Department of Computer Science and Engineering, IIT, Kanpur.Google Scholar
  2. Ahmed, J., Khan, M., Hwang, S., & Khan, J. (2016). A compression sensing and noise-tolerant image encryption scheme based on chaotic maps and orthogonal matrices. Neural Computing and Applications, 2016, 1–5.Google Scholar
  3. Ashbourn, J. (2014). Biometrics in the new world: The cloud, mobile technology and pervasive identity. Cham: Springer.CrossRefGoogle Scholar
  4. Baraniuk, R. (2007). Compressive sensing. IEEE Signal Processing Magazine, 24, 118–124.CrossRefGoogle Scholar
  5. Bazargani, M., Ebrahimi, H., & Dianat, R. (2012). Digital image watermarking in wavelet, contourlet and curvelet domains. Journal of Basic and Applied Scientific Research, 2(11), 11296–11308.Google Scholar
  6. Bedi, P., Bansal, R., & Sehgal, P. (2011). Using PSO in image hiding scheme based on LSB substitution. Advances in Computing and Communications, 2011: 259–268.Google Scholar
  7. Bedi, P., Bansal, R., & Sehgal, P. (2012). Multimodal biometric authentication using PSO based watermarking. Procedia Technology, 4, 612–618.CrossRefGoogle Scholar
  8. Behaviometics. (2009). Measuring FAR/FRR/EER in continuous authentication. A Technical White Paper, BehavioSec.Google Scholar
  9. Behera, B., & Govindan, V. (2013). Improved multimodal biometric watermarking in authentication systems based on DCT and phase congruency model. International Journal of Computer Science and Network, 2(3), 123–129.Google Scholar
  10. Bhatnagar, G., & Raman, B. (2009). A new robust reference watermarking scheme based on DWT-SVD. Computer Standards & Interfaces, 31, 1002–1013.CrossRefGoogle Scholar
  11. Biometrics and Standards. (2009). ITU-T Technology Watch Report, December. Available http://www.itu.int/dms_pub/itu-t/oth/23/01/T230100000D0002MSWE.doc
  12. Biometrics Testing and Statistics. (2006). National Science and Technology Council (NSTC) Report. Available www.biometrics.gov/documents/biotestingandstats.pdf
  13. Candes, E. (2006). Compressive sampling. Proceedings of the International Congress of Mathematicians. pp. 1–20.Google Scholar
  14. Candes, E., & Romberg, J. (2005). L1-Magic: Recovery of Sparse signals via convex programming. pp. 1–19.Google Scholar
  15. Cao, Y., Gong, W., Cao, M., & Bai, S. (2010). Robust biometric watermarking based on contourlet transform for fingerprint and face protection. Proceedings of 2010 I.E. International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), pp. 1–4.Google Scholar
  16. Chan, C., & Cheng, L. (2004). Hiding data in images by simple LSB substitution. Pattern Recognition, 37, 469–474.zbMATHCrossRefGoogle Scholar
  17. Chaudhary, N., Singh, D., & Hussain, D. (2013). Enhancing security of multimodal biometric authentication system by implementing watermarking utilizing DWT and DCT. IOSR Journal of Computer Engineering, 15(1), 6–11.CrossRefGoogle Scholar
  18. Chen, T., Zhang, M., Wu, J., Yuen, C., & Tong, Y. (2016). Image encryption and compression based on kronecker compressed sensing and elementary cellular automata scrambling. Optics & Laser Technology, 84, 118–133.CrossRefGoogle Scholar
  19. Cox, I., Kilian, J., Shamoon, T., & Leighton, F. (1997). Secure spread spectrum watermarking for multimedia. IEEE Transactions on Image Processing, 6(12), 1673–1687.CrossRefGoogle Scholar
  20. Dai, W., & Milenkovic, O. (2009). Subspace pursuit for compressive sensing signal reconstruction. IEEE Transactions on Information Theory, 55(5), 2230–2249.MathSciNetzbMATHCrossRefGoogle Scholar
  21. Deng, J., Zhao, S., Wang, Y., Wang, L., Wang, H., & Sha, H. (2017). Image compression – Encryption scheme combining 2D compressive sensing with discrete fractional random transform. Multimedia Tools and Applications, 76(7), 10097–10117.CrossRefGoogle Scholar
  22. Dili, R., & Mwangi, E. (2007). An image watermarking method based on the singular value transformation and the wavelet transformation. Proceedings of IEEE AFRICON, pp. 1–5.Google Scholar
  23. Donoho, D. (2006). Compressed sensing. IEEE Transaction on Information Theory, 52(4), 1289–1306.MathSciNetzbMATHCrossRefGoogle Scholar
  24. Duarte, M., & Eldar, Y. (2011). Structured compressed sensing: From theory to applications. IEEE Transactions on Signal Processing, 59(9), 4053–4085.MathSciNetzbMATHCrossRefGoogle Scholar
  25. Edward, S., Sumanthi, S., & Ranihemamalini, R. (2011). Person authentication using multimodal biometrics with watermarking. Proceedings of 2011 International Conference on Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), pp. 100–104.Google Scholar
  26. Fakhr, M. (2012). Robust watermarking using compressed sensing framework with application to MP3 audio. The International Journal of Multimedia & Its Applications (IJMA), 4(6), 27–43.CrossRefGoogle Scholar
  27. Fernandez, F., Fierrez, J., & Garcia, J. (2012). Quality measures in biometric systems. IEEE Security and Privacy, 52–62.Google Scholar
  28. Fira, M. (2015). Applications of compressed sensing: Compression and encryption. 2015 E-Health and Bioengineering Conference (EHB): 1–4.Google Scholar
  29. Ganic, E. and Eskicioglu, A. (2004). Secure DWT-SVD Domain image watermarking: Embedding data in all frequencies. ACM Multimedia and Security Workshop 2004, Magdeburg, Germany, pp. 1–9.Google Scholar
  30. Gayathri, D., & Rani, R. (2013). Multimodal biometric system: An overview. International Journal of Advanced Research in Computer and Communication Engineering, 2(1), 898–902.Google Scholar
  31. Giannoula, A. and Hatzinakos, D. (2004). Data hiding for multimodal biometric recognition. Proceedings of the 2004 I.E. International Symposium on Circuits and Systems 2, 160–165.Google Scholar
  32. Gilbert, A., Strauss, M., Tropp, J., & Vershynin, R. (2007). One sketch for all: Fast algorithms for compressed sensing. 39th ACM Symposium on Theory of Computing (STOC). pp. 237–246.Google Scholar
  33. Giot, R., El-Abed, M., & Rosenberger, C. (2012). Fast computation of the performance evaluation of biometric systems: Application to multibiometrics. Future Generation Computer Systems, 1, 1–30.Google Scholar
  34. Gonzales, R., & Woods, R. (2002). Digital image processing (pp. 222–226). Upper Saddle River: Prentice Hall, Inc..Google Scholar
  35. Gupta, A., & Raval, M. (2012). A robust and secure watermarking scheme based on singular value replacement. Sadhana © Indian Academy of Science, 37(4), 425–440.MathSciNetzbMATHGoogle Scholar
  36. Hajjara, S., Abdallah, M., & Hudaib, A. (2009). Digital image watermarking using localized biorthogonal wavelets. European Journal of Scientific Research, 26(4), 594–608.Google Scholar
  37. Harinda, E., & Natgwirumugara, E. (2015). Security & privacy implications in the placement of biometric-based ID card for Rwanda Universities. Journal of Information Security, 6, 93–100.CrossRefGoogle Scholar
  38. Hoang, T., Dat, T., & Sharma, D. (2008). Remote multimodal biometric authentication using bit priority-based fragile watermarking. Proceedings of 19th IEEE International Conference on Pattern Recognition (ICPR 2008), pp. 1–4.Google Scholar
  39. Huang, R., Rhee, K., & Uchida, S. (2014). A parallel image encryption method based on compressive sensing. Multimedia Tools and Applications, 72(1), 71–93.CrossRefGoogle Scholar
  40. Inamdar, V., & Rege, P. (2012). Face features based biometric watermarking of digital image using singular value decomposition for fingerprinting. International Journal of Security and Its Applications, 6(2), 47–60.Google Scholar
  41. Inamdar, V., & Rege, P. (2014). Dual watermarking technique with multiple biometric watermarks. Sadhana © Indian Academy of Science, 29(1), 3–26.Google Scholar
  42. Inamdar, V., Rege, P., & Arya, M. (2010). Offline handwritten signature based blind biometric watermarking and authentication technique using biorthogonal wavelet transform. International Journal of Computer Applications, 11(1), 19–27.CrossRefGoogle Scholar
  43. Isa, M., & Aljareh, S. (2012). Biometric image protection based on discrete cosine transform watermarking technique. Proceeding of International Conference on Engineering and Technology (ICET), pp. 1–5.Google Scholar
  44. Jahan, R. (2013). Efficient and secure digital image watermarking scheme using DWT-SVD and optimized genetic algorithm based chaotic encryption. International Journal of Science, Engineering and Technology Research (IJSETR), 2(10), 1943–1946.Google Scholar
  45. Jain, A., & Kumar, A. (2012). Biometric recognition: An overview. In E. Mordini & D. Tzovaras (Eds.), Second Generation Biometrics: The Ethical, Legal and Social Context (pp. 49–79). Dordrecht: Springer.CrossRefGoogle Scholar
  46. Jain, A., & Nandakumar, K. (2012). Biometric authentication: System security and user privacy. IEEE Computer Society, 45, 87–92.CrossRefGoogle Scholar
  47. Jain, A., Prabhakar, S., & Pankanti, S. (1999). A Filterbank based representation for classification and matching of fingerprint. International Joint Conference on Neural Networks (IJCNN), Washington, DC, July, pp. 3284–3285.Google Scholar
  48. Jain, A., Ross, A., & Prabhakar, S. (2004). An introduction to biometric recognition. IEEE Transactions on Circuits and Systems for Video Technology, Special Issue on Image and Video Based Biometrics, 14(1), 4–20.CrossRefGoogle Scholar
  49. Jain, A., Ross, A., & Pankanti, S. (2006). Biometrics: A tool for information security. IEEE Transactions on Information Forensics and Security, 1(2), 125–143.CrossRefGoogle Scholar
  50. Jain, A., Nandakumar, K., & Nagar, A. (2008). Biometric template security. EURASIP Journal on Advances in Signal Processing, Special Issue on Advanced Signal Processing and Pattern Recognition Methods for Biometrics, January, pp. 1–17.Google Scholar
  51. Javed, A., Fasihullah, M., Munir, M., Usman, I., Shafique, M., Bashir, T., & Khan, M. (2013). A new additive watermarking technique for multimodal biometric identification. Journal of Basic and Applied Scientific Research, 3(7), 935–942.Google Scholar
  52. Joshi, M., Joshi, V., & Raval, M. (2011). Multilevel semi-fragile watermarking technique for improving biometric fingerprint system security. In A. Agrawal, R. C. Tripathi, E. Y.-L. Do, & M. D. Tiwari (Eds.), Intelligent interactive technologies and multimedia (pp. 272–283). Berlin/Heidelberg: Springer.Google Scholar
  53. Joshi, V., Raval, M., Rege, P., & Parulkar, S. (2013). Multistage VQ based exact authentication for biometric images. Computer Society of India (CSI) Journal of Computing, 2(1–2), R3-25–R3-29.Google Scholar
  54. Jundale, V., & Patil, S. (2010). Biometric speech watermarking technique in images using wavelet transform. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), pp. 33–39.Google Scholar
  55. Kaur, M., Girdhar, A., & Kaur, M. (2010). Multimodal biometric system using speech and signature modalities. International Journal of Computer Applications, 5(12), 13–16.CrossRefGoogle Scholar
  56. Kim, W., & Lee, H. (2009). Multimodal biometric image watermarking using two stage integrity verification. Signal Process, 89(12), 2385–2399.zbMATHCrossRefGoogle Scholar
  57. Ko, T. (2005). Multimodal biometric identification for large user population using fingerprint, face and iris recognition. Proceeding of the IEEE 34th Applied Imagery and Pattern Recognition Workshop (AIPR05).Google Scholar
  58. Kolan, H., & Thapaliya, T. (2011). Biometric passport: Security and privacy aspects of machine readable travel document. Available https://diuf.unifr.ch/main/is/sites/diuf.unifr.ch.main.is/files/documents/student-projects/eGov_2011_Hesam_Kolahan_$_Tejendra_Thapaliya.pdf
  59. Kothari, A. (2013). Design, implementation and performance analysis of digital watermarking for video. Ph.D. thesis, JJTU, India.Google Scholar
  60. Kutter, M., & Petitcolas, F. (1999). A fair benchmark for image watermarking systems. Electronic Imaging’ 99. Security and Watermarking of Multimedia Contents, 3657, 1–14.Google Scholar
  61. Langelaar, G., Setyawan, I., & Lagnedijk, R. (2000). Watermarking of digital image and video data – A state of art review. IEEE Signal Processing Magazine, 20–46.Google Scholar
  62. Laska, J., Davenport, M., & Baraniuk, R. (2009). Exact signal recovery from sparsely corrupted measurements through the pursuit of justice. Asilomar Conference on Signals, Systems and Computers, pp. 1556–1560.Google Scholar
  63. Li, C., Ma, B., Wang, Y., & Zhang, Z. (2010). Protecting biometric templates using authentication watermarking, PCM 2010, Part I, LNCS 6297 (pp. 709–718). Berlin/Heidelberg: Springer.Google Scholar
  64. Li, C., Ma, B., Wang, Y., & Zhang, Z. (2011). Sparse reconstruction based watermarking for secure biometric authentication. Biometric Recognition, 7908, 244–251.Google Scholar
  65. Lopez, R., & Boulgouris, N. (2010). Compressive sensing and combinatorial algorithms for image compression. A project report. London: King’s College London.Google Scholar
  66. Lu, J., Plataniotis, N., & Venetsanopoulos, A. (2003). Face recognition using LDA based algorithms. IEEE Transactions on Neural Networks, 14(1), 195–200.CrossRefGoogle Scholar
  67. Lupu, E., & Pop, P. (2008). Multimodal biometric systems overview. ACTA Technica Napocensis, 49(3), 39–44.Google Scholar
  68. Ma, B., Li, C., Wang, Y., & Zhang, Z. (2010). Block pyramid based adaptive quantization watermarking for multimodal biometric authentication. Proceedings of 20th IEEE International Conference on Pattern Recognition (ICPR), pp. 1277–1280.Google Scholar
  69. Mansouri, A., Aznaveh, A., & Azar, F. (2009). SVD based digital image watermarking using complex wavelet transform. Sadhana © Indian Academy of Science, 34(3), 393–406.Google Scholar
  70. Mathivadhani, D., & Meena, C. (2010). A comparative study of fingerprint protection using watermarking techniques. Global Journal of Computer Science and Technology, 9(5), 98–102.Google Scholar
  71. Moon, D., Tachae, K., Jung, S., Chung, Y., Moon, K., Ahn, D., & Kim, S. (2005). Performance evaluation of watermarking techniques for secure multimodal biometric systems. Computational Intelligence and Security, pp. 635–642.Google Scholar
  72. Motwani, R. (2010). A Voice-based biometric watermarking scheme for digital rights management of 3D mesh models. Ph.D. thesis, University of Nevada, Reno.Google Scholar
  73. Nagesh, P., Li, B. (2009). Compressive imaging of color images. 2009 I.E. International Conference on Acoustics, Speech and Signal Processing, pp. 1261 – 1264.Google Scholar
  74. Naik, A., & Holambe, R. (2010). Blind DCT Domain digital watermarking for biometric authentication. International Journal of Computer Applications (IJCA), 16(1), 11–15.Google Scholar
  75. Nandakumar, K. (2008). Multibiometric systems: Fusion strategies and template security. Ph.D. thesis, Michigan State University, USA.Google Scholar
  76. Needell, D. (2009). Topics in compressed sensing. Ph.D. thesis, University of California, USA.Google Scholar
  77. Noore, A., Singh, R., Vatsa, M., & Houck, M. (2007a). Enhancing security of fingerprints through contextual biometric watermarking. Forensic Science International, 169(2), 188–194.CrossRefGoogle Scholar
  78. Noore, A., Singh, R., Vatsa, M., Houck, M., & Morris, K. (2007b). Robust biometric image watermarking for fingerprint and face template protection. IEICE Electronics Express, 3(2), 23–28.Google Scholar
  79. Panchal, T., & Singh, A. (2013). Multimodal biometric system. International Journal of Advanced Research in Computer Science and Software Engineering, 3(5), 1360–1363.Google Scholar
  80. Pankanti, S. and Yeung, M. (1999). Verification watermarks on fingerprint recognition and retrieval. In Electronic Imaging’99, International Society for Optics and Photonics, pp. 66–78.Google Scholar
  81. Park, K., Jeong, D., Kang, B. and Lee E. (2007). A study on iris feature watermarking on face data. Adaptive and natural computing algorithms, pp. 415–423.Google Scholar
  82. Pato, J., & Millett, L. (2010). Biometric recognition: Challenges and opportunities. Whither Biometric Board. Available http://dataprivacylab.org/TIP/2011sept/Biometric.pdf
  83. Paunwala, M., & Patnaik, S. (2014). Biometric template protection with DCT based watermarking. Machine Vision and Applications, 25(1), 263–275.CrossRefGoogle Scholar
  84. Petitcolas, F. (2000). Watermarking schemes evaluation. IEEE Signal Processing Magazine, 17, 58–64.Google Scholar
  85. Picard, J., Vielhauer, C., & Thorwirth, N. (2004). Towards fraud-proof ID documents using multiple data hiding technologies and biometrics. Proceedings of SPIE, 5306, 416–427.CrossRefGoogle Scholar
  86. Prabhakar, S. (2001). Fingerprint classification and matching using a filterbank. Ph.D. thesis, Michigan State University, USA.Google Scholar
  87. Qi, M., Lu, Y., Du, N., Wang, C., & Kong, J. (2010). A Novel image hiding approach based on correlation analysis for secure multimodal biometrics. Journal of Network and Computer Applications, 33(3), 247–257.CrossRefGoogle Scholar
  88. Ratha, N., Connell, J., & Bolle, R. (2001). Enhancing security and privacy in biometric based authentication systems. IBM Systems Journal, 40(3), 614–634.CrossRefGoogle Scholar
  89. Raval, M., & Rege, P. (2003). Discrete wavelet transform based multiple watermarking scheme. Proceedings of the Convergent Technologies for the Asia-Pacific Region, 3, 935–938.Google Scholar
  90. Raval, M., Joshi, M., Rege, P., & Parulkar, S. (2011). Image tampering detection using compressive sensing based watermarking scheme. Proceedings of MVIP, 2011.Google Scholar
  91. Rege, P. (2012). Biometric watermarking. National Seminar on Computer Vision and Image Processing, Rajkot.Google Scholar
  92. Rohani, M., & Avanaki, A. (2009). A watermarking method based on optimizing SSIM index using PSO in DCT domain. CSICC, pp. 418–423.Google Scholar
  93. Ross, A., & Jain A. (2004). Multimodal biometrics: An overview. Proceedings of 12th European Signal Processing Conference (EUSIPCO), pp. 1221–1224.Google Scholar
  94. Sasidhar, K., Kakulapati, V., Ramakrishna, K., & Ka, K. (2010). Multimodal biometric systems – study to improve accuracy and performance. International Journal of Computer Science & Engineering Survey (IJCSES), 1(2), 54–61.CrossRefGoogle Scholar
  95. Sheikh, M., & Baraniuk, R. (2007). Blind error free detection of transform domain watermarks. IEEE International Conference on Image Processing, 5, V-453.Google Scholar
  96. Shinfeng, D., Shie, S., & Guo, J. (2010). Improving the robustness of DCT based image watermarking against JPEG compression. Journal of Computer Standards and Interfaces, 32, 60–67.Google Scholar
  97. Sui, Y., Zou, X., & Du, Y. (2013). Cancellable biometrics. In Biometrics: From fiction to practice (pp. 233–252). Singapore: Pan Stanford Publishing Pte. Ltd.CrossRefGoogle Scholar
  98. Tagliasacchi, M., Valenzise, G., Tubaro, S., Cancelli, G., & Barni, M. (2009). A compressive sensing based watermarking scheme for sparse image tampering identification. Proceedings of ICIP 2009, pp. 1265–1268.Google Scholar
  99. Tamije Selvy, P., Palanisamy, V., & Elakkiya, S. (2013). A novel watermarking images based on wavelet based contourlet transform energized by biometrics. WSEAS Transactions on Computers, 12(3), 105–115.Google Scholar
  100. Thanki, R., Kher, R., & Vyas, D. (2011). Comparative analysis of digital watermarking techniques. Saarbrücken: LAMBERT Academic Publishing.Google Scholar
  101. Theime, M. (2003). Multimodal biometric systems: Applications and usage scenarios. Arlington: Biometric Consortium Conference.Google Scholar
  102. Tiesheng, F., Guiqiang, L., Chunyi, D., & Danhua, W. (2013). A digital image watermarking method based on the theory of compressed sensing. International Journal Automation and Control Engineering, 2(2), 56–61.Google Scholar
  103. Tropp, J., & Gilbert, A. (2007). Signal recovery from random measurements via orthogonal matching pursuit. IEEE Transactions on Information Theory, 53(12), 4655–4666.MathSciNetzbMATHCrossRefGoogle Scholar
  104. Tsai, H., & Liu, C. (2011). Wavelet based image watermarking with visibility range estimation based on HVS and neural networks. Pattern Recognition, 44, 751–763.zbMATHCrossRefGoogle Scholar
  105. Vatsa, M., Singh, R., Mitra, R., & Noore, A. (2004). Digital watermarking based secure multimodal biometric system. Proceedings of the 2004 I.E. International Conference in Systems Man and Cybernetics, 3, 2983–2987.Google Scholar
  106. Vatsa, M., Singh, R., & Noore, A. (2005). Improving biometric recognition accuracy and robustness using DWT and SVM watermarking. IEICE Electronics Express, 1(12), 362–367.CrossRefGoogle Scholar
  107. Vatsa, M., Singh, R., & Noore, A. (2009). Feature based RDWT watermarking for multimodal biometric system. Image and Vision Computing, 27(3), 293–304.CrossRefGoogle Scholar
  108. Voloshynovskiy, S., Pereira, S., & Pun, T. (2001). Attacks on digital watermarking: Classification, estimation-based attacks and benchmarks. IEEE Communications Magazine, 118–126.Google Scholar
  109. Wang, Z., & Bovik, A. (2004). A universal image quality index. Journal of IEEE Signal Processing Letters, 9(3), 84–88.Google Scholar
  110. Welling, M. (2005). Fisher linear discriminant analysis. Toronto: Department of Computer Science, University of Toronto.Google Scholar
  111. Wolfgang, R., Podilchdc, C., & Dalp, E. (1999). Perceptual watermarks for digital images and video. Proceedings of IEEE, 87(7), 1108–1126.CrossRefGoogle Scholar
  112. Xu, J., Pang, H., & Zhao, J. (2010). Digital image watermarking algorithm based on fast curvelet transform. Journal Software Engineering & Applications, 3, 939–943.CrossRefGoogle Scholar
  113. Yang, J., Hua, Y., & William, K. (2000). An efficient LDA algorithm for face recognition. Proceedings of the International Conference on Automation, Robotics and Computer Vision (ICARCV 2000), pp. 34–47.Google Scholar
  114. Zebbiche, K., Khelifi, F., & Bouridane, A. (2008). An efficient watermarking technique for the protection of fingerprint images. EURASIP Journal of Information Security, 1–20.Google Scholar
  115. Zhang, C., Cheng, L., Zhengding, Q., & Cheng, L. (2008). Multipurpose watermarking based on multiscale curvelet transform. IEEE Transactions on Information Forensics and Security, 3(4), 611–619.CrossRefGoogle Scholar
  116. Zhang, X., Qian, Z., Ren, Y., & Feng, G. (2011). Watermarking with flexible self-recovery quality based on compressive sensing and compositive reconstruction. IEEE Transactions on Information Forensics and Security, 6(4), 1123–1232.Google Scholar
  117. Zhang, Y., Wong, K., Zhang, L., Wen, W., Zhou, J., & He, X. (2015). exploiting random convolution and random subsampling for image encryption and compression. Signal Processing: Image Communication, 39(20), 202–211.Google Scholar
  118. Zhang, Y., Zhang, L., Zhou, J., Liu, L., Chen, F., & He, X. (2016). A review of compressive sensing in information security field. IEEE Access, 4, 2507–2519.CrossRefGoogle Scholar
  119. Zhou, N., Zhang, A., Zheng, F., & Gong, L. (2014). Novel image compression-encryption hybrid algorithm based on key-controlled measurement matrix in compressive sensing. Optics & Laser Technology, 62, 152–160.CrossRefGoogle Scholar
  120. Zhou, N., Pan, S., Cheng, S., & Zhou, Z. (2016). Image compression – encryption scheme based on hyper-chaotic system and 2D compressive sensing. Optics & Laser Technology, 82, 121–133.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Rohit M. Thanki
    • 1
  • Vedvyas J. Dwivedi
    • 1
  • Komal R. Borisagar
    • 2
  1. 1.C. U. Shah UniversityWadhwan CityIndia
  2. 2.Atmiya Institute of Technology and ScienceRajkotIndia

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