{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:52:51Z","timestamp":1760147571147,"version":"build-2065373602"},"reference-count":18,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,2,18]],"date-time":"2023-02-18T00:00:00Z","timestamp":1676678400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"EU\u2014NGEU","award":["PE00000014"],"award-info":[{"award-number":["PE00000014"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>The vast majority of compressed digital data that flows nowadays on modern high-speed networks is directly related to human activity. It describes what we do, what we see and photograph, where we go, whom we meet, and specifically every moment of our lives. This brings up issues and concerns regarding the necessity to safeguard user privacy as well as to protect the digital multimedia contents that are delivered to offer new experiences. In this paper, we explore a unified approach to compression and privacy by considering different types of digital data (text, images, sound, and hyperspectral images).<\/jats:p>","DOI":"10.3390\/info14020135","type":"journal-article","created":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T01:36:37Z","timestamp":1676856997000},"page":"135","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Transmission of Digital Data in the 5G Era: Compression and Privacy"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1960-9986","authenticated-orcid":false,"given":"Bruno","family":"Carpentieri","sequence":"first","affiliation":[{"name":"Dipartimento di Informatica, Universit\u00e0 di Salerno, 84084 Fisciano (SA), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesco","family":"Palmieri","sequence":"additional","affiliation":[{"name":"Dipartimento di Informatica, Universit\u00e0 di Salerno, 84084 Fisciano (SA), Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Pizzolante, R., and Carpentieri, B. 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Scrambling-based tool for secure protection of JPEG images. Proceedings of the IEEE International Conference on Image Processing (ICIP), Paris, France.","DOI":"10.1109\/ICIP.2014.7025694"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Pizzolante, R., and Carpentieri, B. (2013, January 1\u20133). Lossless, low-complexity, compression of three-dimensional volumetric medical images via linear prediction. Proceedings of the 18th International Conference on Digital Signal Processing (DSP), Fira, Greece.","DOI":"10.1109\/ICDSP.2013.6622763"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Carpentieri, B. (2022, January 16\u201318). Compression and Privacy of Hyperspectral images. 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