Abstract
With the arrival of new smartphones and new social networks and with the speed of the new 5G communication the network traffic of multimedia documents has significantly increased, and it becomes necessary to preserve privacy when using digital images or videos, for example in the current social networks or, even more, in those based on Virtual and Augmented reality that soon will take the place of the current ones. In this paper we explore a unified approach to compression and privacy by considering both one-dimensional and two-dimensional data by implementing a secure protocol for interactive data compression and by presenting a new algorithm for scrambling the Region of Interest (ROI) of an image.
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References
Pizzolante, R., Carpentieri, B., Castiglione, A., Castiglione, A., Palmieri, F.: Text compression and encryption through smart devices for mobile communication. In: Proceedings of the 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp. 672–677 (2013)
Pizzolante, R., Carpentieri, B.: Copyright protection for images on mobile devices. In: Proceedings of the 6th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS). IEEE Press, pp. 585–590 (2012)
Kelley, J., Tamassia, R.: Secure Compression: Theory & Practice. IACR Cryptology EPrint Archive (2014)
Oğuzhan, K.M.: On scrambling the Burrows-Wheeler transform to provide privacy in lossless compression. Comput. Secur. 31(1), 26–32 (2012)
Rizzo, F., Storer, J.A., Carpentieri, B.: Overlap and channel errors in adaptive vector quantization for image coding. Inf. Sci. 171(1–3), 125–143 (2005)
El Gamal, A., Orlitsky, A.: Interactive data compression. In: Proceedings of the 25th Anniversary Symposium Foundations Computer Science (FOCS), pp. 100–108 (1984)
Carpentieri, B.: Sending compressed messages to a learned receiver on a bidirectional line. Inf. Process. Lett. 83(2), 63–70 (2002)
Carpentieri, B.: Interactive compression of digital data. Algorithms 3, 63–75 (2010)
http://chenlab.ece.cornell.edu/people/Andy/ImagesOfGroups.html
Rizzo, F., Storer, J.A., Carpentieri, B.: LZ-based image compression. Inf. Sci. 135(1–2), 107–122 (2001)
Motta, G., Storer, J.A., Carpentieri, B.: Adaptive linear prediction lossless image coding. In: Proceedings of the 1999 Data Compression Conference (DCC), pp. 491–500 (1999)
Pizzolante, R., Carpentieri, B.: Lossless, low-complexity, compression of three-dimensional volumetric medical images via linear prediction. In: Proceedings of 18th International Conference on Digital Signal Processing (DSP), pp. 1–6 (2013)
Pizzolante, R., Carpentieri, B.: Visualization, band ordering and compression of hyperspectral images. Algorithms. 5(1), 76–97 (2012)
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Carpentieri, B., Palmieri, F. (2022). Efficient and Secure Transmission of Digital Data in the 5G Era. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2022. Lecture Notes in Computer Science, vol 13445. Springer, Cham. https://doi.org/10.1007/978-3-031-15546-8_16
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DOI: https://doi.org/10.1007/978-3-031-15546-8_16
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