UPSI Digital Repository (UDRep)
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UPSI Digital Repository (UDRep)
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| Abstract : |
| Evaluating and benchmarking software and hardware ¯eld programmable gate array (FPGA)-based digital watermarking are considered challenging tasks because of multiple and con°icting evaluation criteria. A few evaluation and benchmarking techniques/frameworks have been implemented to digital watermarking or steganography; however, these approaches still present certain limitations. In particular, ¯xing some attributes on account of other attributes and wellknown benchmarking approaches are limited to robust watermarking techniques. Thus, this study aims toward a new methodology for evaluation and benchmarking using multi-criteria analysis for software and hardware \FPGA"-based digital watermarking or steganography. To achieve this objective, two iterations are conducted. The ¯rst iteration consists of two stages: discussing software and hardware \FPGA"-based digital watermarking or steganography to create a dataset with various samples for benchmarking and discussing the evaluation method and then discussing the test for software and hardware \FPGA"-based digital watermarking or steganography according to multi-criteria evaluation (i.e., complexity, payload and quality) to create a decision matrix. The second iteration applies di®erent decision-making techniques (i.e.,SAW, MEW, HAW, TOPSIS, WSM and WPM)) to benchmark the results of the ¯rst iteration (i.e., software or hardware FPGA-based digital watermarking or steganography approaches).Then, the discussed mean, standard deviation and paired sample t-test results are used to measure the correlations among di®erent techniques based on the ranking results. The discussion ¯ndings are described as follows: (1) the integration of developer and evaluator preferences into the evaluation and benchmarking for software and hardware FPGA-based digital watermarking or steganography, (2) the process of assigning weights and (3) visualizing large-scale data sample in either software or hardware FPGA-based digital watermarking or steganography algorithms. |
| References |
1. V.-P. Prachi and S.-S. Agrawal, Implementation of digital video watermarking scheme based on FPGA, Int. J. Electr. Electron. Comput. Syst. 1 (2013) 99–103. 2. K. Jain, L. Yuan, P.-R. Pari and G. Qu, Zero overhead watermarking technique for FPGA designs, GLSVLSI '03: Proceedings of the 13th ACM Great Lakes symposium on VLSI (ACM Press, New York, NY, USA, 2003), pp. 147–152. 3. B.-P. Dilip and M. Hina, Patel review on FPGA-based digital watermarking techniques for video authentication, Int. J. Mod. Trends Eng. Res. 2 (2014) 39–43. 4. D. Ziener and J. Teich, Evaluation of watermarking methods for FPGA-based IP-cores,Technical Report 01-2005, University of Erlangen-Nuremberg, Department of CS 12, Hardware-Software-Co-Design, Am Weichselgarten, 3, Erlangen, D-91058, Germany,December 2007. 5. D. Ziener and J. Teich, Power signature watermarking of IP cores for FPGAs, J. Signal Process. Syst. 51 (2008) 123–136. 6. R. Mohammad and A.-C. Umesh, Hardware implementation of a digital watermarking system using 3d Dct, J. Electr. Electron. Eng. 6 (2014) 99–108. 7. J.-J. Yong, H.-K. Wow, S.-M. Kwang and N.-K. Jong, FPGA-based implementation of real-time watermarking for high de¯nition video, Int. Symp. Intelligent Signal Processing and Communication Systems (IEEE, Japan, 2009), pp. 603–606. 8. H.-A. Jason, A PUF design for secure FPGA-based embedded systems, 15th Asia and South Paci¯c In Design Automation Conf., 18–21 Jan 2010 (Taipei, Taiwan, 2010), pp. 1–6. 9. W.-S. ElAraby, A.-H. Madian, M.-A. Ashour and A.-M. Wahdan, Hardware realization of DC embedding video watermarking technique based on FPGA, 22nd Int. IEEE Conf.Microelectronics (IEEE Cairo, Egypt, 2010), pp. 463–466. 10. M.-E. El-Hadedy, Improvement of digital image watermarking techniques based on FPGA implementation, Master Thesis, Department of Electronics and Communications Engineering, Mansoura University, Egypt (2006). 11. P.-P. Chu and R.-E. Jones, Design techniques of FPGA-based random number generator, NASA Glen Research Center, Cleveland, 1999. 12. P.-U. Lande, S.-N. Talbar and G.-N., Shinde, FPGA implementation of image adaptive watermarking using human visual model, ICGST-PDCS J. 9 (2009) 17–22. 13. V.-S. Harsh, Y. Suman and M. Anand, Review of FPGA-based data hiding data in digital images, Int. J. Adv. Electron. Electr. Eng. 3 (2014) 5–9. 14. K.-N. Pansare and A.-K. Kureshi, A review — FPGA implementation of di®erent steganographic technique, Int. J. Innov. Res. Sci. Eng. Technol. 3 (2014) 377–388. 15. N. Masoud and K. Ronak, Advanced frontal a survey on usage of genetic algorithmsin recent steganography researches, World Appl. Program. 2 (2012) 206–210. 16. L.-V. Subbaraju, P. Praveen and U. Yedukondalu, A hardware FPGA implementation of adaptive stegano analysis using LSB technique, J. Eng. Res. Appl. 3 (2014) 2010– 2014. 17. H.-A. Farouk and M. Saeb, Design and implementation of a secret key steganographic micro-architecture employing FPGA, Design Automation Conf. Proceedings of the ASP-DAC 2004. Asia and South Paci¯c, NJ, 27–30 January 2004, Kanagawa, Japan (IEEE, 2004), pp. 577–578. 18. Y. Manjula, D.-H. Jagadeesha and K.-B ShivaKumar, FPGA implementation for image steganography technique using X-box mapping, Int. J. Comput. Organ. Trends 3 (2013) 2548–2554. 19. J.-K. Gorre and U.-N. Devi, FPGA hardware LSB stegnography technique based on the lifting scheme, Int. J. Eng. Res. Technol. 2 (2013) 2726–2730. 20. H.-C. Huang, S.-C. Chu, J.-S. Pan, C.-Y. Huang and B.-Y. Liao, Tabu search based multi-watermarks embedding algorithm with multiple description coding, Inf. Sci. 181 (2011) 3379–3396. 21. A. Khan, A. Siddiqa, S. Munib and S.-A. Malik, A recent survey of reversible watermarking techniques, Inf. Sci. 279 (2014) 251–272. 22. A. Z. Aos, A. W. Naji, S. A. Hameed, F. Othman and B. B. Zaidan, Approved undetectable-antivirus steganography for multimedia information in PE-¯le, International Association of Computer Science and Information Technology-Spring Conf. (IEEE, NY,2009), pp. 437–441. 23. A. W. Naji, T. S. Gunawan, A. A. Zaidan, H. A. Shihab and B. B. Zaidan, Stego-analysis chain, session one" investigations on steganography weakness vs stego-analysis system for multimedia ¯le, International Conference on IACSIT Spring Conf. (IEEE, NY, 2009), pp. 405–409. 24. B. B. Zaidan, A. A. Zaidan, A. Taqa, G. M. Alam, M. L. Kiah and A. H. Jalab, StegoMos: A secure novel approach of high rate data hidden using mosaic image and ANN-BMP cryptosystem, Int. J. Phys. Sci. 11 (2010) 1796–1806. 25. C.-C Yu, Chang and I.-C. Lin, A new steganographic method for color and grayscale image hiding, Comput. Vis. Image Understand. 107 (2007) 183–194. 26. H. Wang, A.-T. Ho and S. Li, OR-Benchmark: An open and recon¯gurable digital watermarking benchmarking framework, arXiv:1506.00243. 27. J.-D. Gordy, Performance evaluation of digital watermarking algorithms, Master Of Science, The University Of Calgary, 2000. 28. N. Nikolaidis, V. Solachidis, A. Tefas, V. Arguriou and I. Pitas, Benchmarking of still image watermarking methods: Principles and state of the art, Proc. of Electronic Imaging and the Visual Arts, Florence, Italy, 18–22 March (2002), pp. 1–5. 29. G. Boato, V. Conotter, F.-G. D. Natale and C. Fontanari, Watermarking robustness evaluation based on perceptual quality via genetic algorithms, IEEE Trans. Inf. Forensics Sec. 4 (2009) 207–216. 30. M.-S. Emami, G.-B. Sulong and S.-B. Seliman, A new fuzzy performance modeling for evaluating the trade-o® among robustness, quality and capacity in watermarking algorithms, Int. J. Innov. Comput. Inf. Control 8 (2012) 5067–5081. 31. A. A. Zaidan, A. W. Naji, S. A. Hameed, F. Othman and B. B. Zaidan, Approved undetectable-antivirus steganography for multimedia information in PE-¯le, International Conference on IACSIT Spring Conf., Singapore, 17–20 April 2009 (IEEE, 2009), pp. 425–429. 32. B. B. Zaidan, A. A. Zaidan, A. Taqa and F. Othman, Stego-image vs stego-analysis system, Int. J. Comput. Electr. Eng. 1 (2009) 572–578. 33. B. B. Zaidan, A. A. Zaidan, F. Othman, R. Z. Raji, S. Mohammed and M. Abdulrazzaq, Quality of image vs. quantity of data hidden in the image, Proc. 2009 Int. Conf. Image Processing, Computer Vision and Patter Recognition (ICIPCVPR'09) (CSREA Press, LA, USA, 2009), pp. 343–350. 34. A. Lang, J. Dittmann, M. David and J. Herrera-Joancomart�, Practical audio watermarking evaluation tests and its representation and visualization in the triangle of robustness, transparency and capacity, Proc. 2nd WAVILA Challenge (2nd WaCha) (European Network of Excellence in Cryptology, Geneva, Switzerland, 2007), pp. 12–21. 35. C. Kraetzer, Visualisation of benchmarking results in digital watermarking and steganography, Proc. 2nd WAVILA Challenge (2nd WaCha) (European Network of Excellence in Cryptology, Geneva, Switzerland, 2007), pp. 1–16. 36. S.-T. Lin, S.-J. Horng, B.-H. Lee, P. Fan, Y. Pan, J.-L. Lai, R.-J. Chen and M.-K. Khan, Application of grey-relational analysis to ¯nd the most suitable watermarking scheme,Int. J. Innov. Comput. Inf. Control 7 (2011) 5389–5401. 37. A. Fabien and P. Petitcolas, Watermarking schemes evaluation, IEEE Signal Process. 17 (2000) 58–64. 38. S.-H. Zanakis, A. Solomon, N. Wishart and S. Dublish, Multi-attribute decision making:A simulation comparison of select methods, Eur. J. Oper. Res. 107 (1998) 507–529. 39. A. A. Zaidan, B. B. Zaidan, M. Hussain, A. Haiqi, M. L. Mat Kiah and M. Abdulnabi, Multi-criteria analysis for OS-EMR software selection problem: A comparative study, Decis. Support Syst. 78 (2015) 15–27. 40. M. A. Ahmed, L. M. Kiah, B. B. Zaidan and A. A. Zaidan, A novel embedding method to increase capacity and robustness of low-bit encoding audio steganography technique using noise gate software logic algorithm, J. Appl. Sci. 10 (2010) 59–64. 41. R.-J. Augustine and V. Devassia, A robust audio watermarking in frequency domain, AIKED'06 Proc. 5th WSEAS Int. Conf. on Arti¯cial Intelligence, Knowledge Engineering and Data Bases, Madrid, Spain, 15–17 Feb (2006), pp. 74–79. 42. A. A. Zaidan, B. B. Zaidan and H. A. Jalab, A new system for hiding data within (unused area two+ image page) of portable executable ¯le using statistical technique and advance encryption standard, Int. J. Comput. Theory Eng. 2 (2010) 218–225 43. N. Cvejic and T. Seppanen, Increasing the capacity of LSB-based audio steganography, Workshop on Multimedia Signal Processing, US, Virgin Islands, 9–11 Dec 2002 (IEEE, 2002), pp. 336–338. 44. S.-K. Bandyopadhyay and B.-G. Banik, LSB modi¯cation and phase encoding technique of audio steganography revisited, Int. J. Adv. Res. Comput. Commun. Eng. 1 (2012) 1–4. 45. G. Coatrieux, L. Lecornu, B. Sankur and C. Roux, A review of image watermarking applications in healthcare, Conf. Proc. IEEE Eng. Med. Biol. Soc. 1 (2006) 1–4. 46. G. Coatrieux, J. Montagner, H. Huang and C. Roux, Mixed reversible and RONI watermarking for medical image reliability protection, 29th Annual Int. Conf. of the Engineering in Medicine and Biology Society, 2007, EMBS 2007, Lyon, France 22–26 Aug 2007 (IEEE, 2007), pp. 5653–5656. 47. P. Cosman, R. Gray and R. Olshen, Evaluating quality of compressed medical images: SNR, subjective rating, and diagnostic accuracy, Proc. IEEE 82 (1994) 919–932. 48. A. A. Zaidan, B. B. Zaidan, Y. A. Taqa, M. K. Sami, G. M. Alam and A. H. Jalab, Novel multi-cover steganography using remote sensing image and general recursion neural cryptosystem, Int. J. Phys. Sci. 5 (2010) 1776–1786. 49. A. A. Zaidan, B. B. Zaidan, O. H. Alanazi, A. Gani, O. Zakaria and G. M. Alam, Novel approach for high (secure and rate) data hidden within triplex space for executable ¯le, Sci. Res. Essays 5 (2010) 1965–1977. 50. N. Cvejic and T. Seppanen, Increasing robustness of LSB audio steganography using a novel embedding method, Int. Conf. on information Technology: Coding and Computing, Las Vegas, Nevada, US, 5–7 April 2004 (IEEE, 2004), pp. 533–537. 51. N. Cvejic and T. Seppanen, Reduced distortion bit-modi¯cation for LSB audio steganography, 7th Int. Conf. Signal Processing, Lyon, France, 31 Aug–4 Sept 2004 (IEEE,2004), pp. 2318–2321. 52. N. Cvejic and T. Seppänen, Fusing digital audio watermarking and authentication in diverse signal domains, Proc. of the European Signal Processing Conf. (University of Oulu, Finland, 2005), pp. 84–87. 53. N. Cvejic and T. Seppiinen, Channel capacity of high bit rate audio data hiding algorithms in diverse transform domains, Int. Symp. Communications and Informatian Technologies, Madrid, Spain 26–29 Oct (2004), pp. 84–88. 54. A. Eskicioglu and P. Fisher, Image quality measures and their performance, IEEE Trans. Commun. 43 (1995) 2959–2965. 55. S. Ghrare, M. Ali, M. Ismail and K. Jumari, Diagnostic quality of compressed medical images: Objective and subjective evaluation, Second Asia Int. Conf. on Modelling and Simulation (AMS 2008), 13–15 May 2008, Kuala Lampur, Malaysia (IEEE Computer Society, NY, 2008). 56. T. Holotyak, J. Fridrich and D. Soukal, Stochastic approach to secret message length estimation in �k Embedding Steganography, Security, Steganography, and Watermarking of Multimedia Contents VII, eds. E. J. Delp and P. W. Wong (SPIE, San Jose, California, USA, 2005), pp. 673–684. 57. C.-H. Huang and J.-L. Wu, Fidelity-guaranteed robustness enhancement of blind-detection watermarking schemes, Inf. Sci. 179 (2009) 791–808. 58. S.-A. Kather and K. Vimal, Real steganography in non voice part of the speech, Int. J.Comput. Appl. 46 (2012) 1–5. 59. M. L. Kiah, B. B. Zaidan, A. A. Zaidan, A. M. Ahmed and S. H. Al-bakri, A review of audio based steganography and digital watermarking, Int. J. Phys. Sci. 6 (2011) 3837–3850. |
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