Abstract
Popularity and dependency of smartphones in a day to day lives originated the demand to invent the methods to secure the private and business data stored in them. Image steganography is one of the methods adopted to enhance their security by hiding the sensitive information behind the image. It is applied in a manner that there are no visible visual or statistical changes in the cover image. Undetectability and robustness are the major requirements of any image steganography algorithm. Another parameter that plays an important role is embedding capacity-the amount of data that can be hidden in the image. The most common image format in smartphones is jpeg. Jpeg images undergo lossy compression and as a result, their size is small as compared to other image formats undergoing lossless compression. It is a challenge to hide high message payload in jpeg images. This research paper focuses on finding out various methods to increase the embedding capacity of jpeg images. It firstly probes and compares compression algorithms and tries to find out how they can help in increasing the amount of data that can be hidden inside the image. Secondly, it discusses the various statistical parameters which can be exploited in order to select suitable cover image before applying image steganography. Thirdly, it proposes a new algorithm which calculates payload capacity of an image which helps in selection of a suitable cover image. It uses MSE, PSNR and SSIM image quality metrics to validate the algorithm.
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References
La Polla M, Martinelli F, Sgandurra D (2013) A survey on security for mobile devices. IEEE Commun Surv Tutor 15(1):446–471
Botha R, Furnell S, Clarke N (2009) From desktop to mobile: examining the security experience. Comput Secur 28(3–4):130–137
Caviglione L, Coccoli M (2011) Privacy problems with Web 2.0. Comput Fraud Secur 2011(10):16–19
Blelloch E (2002) Introduction to data compression. In: Computer science department. Carnegie Mellon University
Huffman DA (1952) A method for the construction of minimum redundancy codes. Proc Inst Radio Eng 40(9):1098–1101
Munirajan et al (2004) Transform domain steganography detection using fuzzy inference systems. In: The IEEE sixth international symposium on multimedia software engineering, pp 286–291
Zhang T, Ping X (2003) A fast and effective steganalytic technique against jsteg-like algorithms. In: Proceedings of the 8th ACM symposium, applied computing. ACM Press
Provos N (2001) Defending against statistical steganalysis. In: Proceedings of the 10th USENIX security symposium, vol 10, pp 323–335
Westfeld A (2001) F5-a steganographic algorithm. In: International workshop on information hiding. Springer, Berlin, Heidelberg
Tejashwini H, Shailesh ML (2013) Improving colour image steganographic capacity based on modified quantization table. In: Proceedings of international conference on ERCICA 2013. Elesevier Publications, ISBN 9789351071020
Gope et al (2010) An enhanced JPEG steganography scheme with encryption system. Int J Comput Electr Eng 2(5):1793–8163
Antony J et al (2016) Method to enhance the capacity of embedding data in JPEG images. Int J Res Comp Commun Technol 5(2):47–50
Attaby AA et al (2017) Data hiding inside JPEG images with high resistance to steganalysis using a novel technique: DCT-M3. Ain Shams Eng J. http://dx.doi.org/10.1016/j.asej.2017.02.003
Kamal AHM, Islam MM (2016) Enhancing embedding capacity and stego image quality by employing multi predictors. J Inf Secur Appl. https://doi.org/10.1016/j.jisa.2016.08.005
Bajpai S, Saxena K (2014) Enhancing embedding capacity by compartmentalizing pixels using LSB techniques in steganography. Int J Eng Sci 10. ISSN: 2229-6913 (Print), ISSN: 2320-0332 (Online)
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Watni, D., Chawla, S. (2020). Enhancing Embedding Capacity of JPEG Images in Smartphones by Selection of Suitable Cover Image. In: Kumar, A., Paprzycki, M., Gunjan, V. (eds) ICDSMLA 2019. Lecture Notes in Electrical Engineering, vol 601. Springer, Singapore. https://doi.org/10.1007/978-981-15-1420-3_22
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DOI: https://doi.org/10.1007/978-981-15-1420-3_22
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