Please use this identifier to cite or link to this item: http://elea.unisa.it/xmlui/handle/10556/6509
Title: Intelligent privacy safeguards for the digital society
Authors: Guarino, Alfonso
Chiacchio, Pasquale
Malandrino, Delfina
Keywords: Privacy;Machine learning;Techno-regulation
Issue Date: 24-May-2021
Publisher: Universita degli studi di Salerno
Abstract: The growth of the Internet and the pervasiveness of Information and Communication Technology (ICT) have led to a radical change in our society, a deep economical, commercial and social impact on our lives. To date, most of our lives takes place online where algorithms shape and guide our behaviour and the governance of our societies. One of the drawbacks of this change is an increased risk for Internet users about their personal information privacy. Indeed an enormous amount of data is being generated and disseminated by people at high pace, often without knowing who is recording what about them. Online browsing, banking, shopping, social network interactions, and any type of online economic, social, personal collaboration and communication could undermine the individuals’ privacy due to a variety of factors that include not only the frightening increase of information leakage. Indeed, specific private information can be also inferred/extracted via computational heuristics applied on data (apparently unrelated to such information) users voluntarily disclose on the Internet. In particular, such privacy leaks can be caused by both (a) applications or software users intentionally use unaware of the related risks, and (b) malicious (illegal or unfair) practices stealthy perpetrated by “adversaries”. Therefore, securing private data, devices and user’s privacy in the digital society has become an utmost concern for individuals, business organizations, national governments and researchers. ... [edited by Author]
Description: 2019 - 2020
URI: http://elea.unisa.it:8080/xmlui/handle/10556/6509
http://dx.doi.org/10.14273/unisa-4580
Appears in Collections:prova

Files in This Item:
File Description SizeFormat 
tesi di dottorato A. Guarino.pdftesi di dottorato26,97 MBAdobe PDFView/Open
abstract in italiano A. Guarino.pdfabstract in italiano a cura dell'Autore116,11 kBAdobe PDFView/Open
abstract in inglese A. Guarino.pdfabstract in inglese a cura dell'Autore114,95 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.