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008			220601s2019 sz | o |||| 0|eng d
020			_a9783031024863
024	7		_a10.1007/978-3-031-02486-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.A25 _b2019 EB
100	1		_aLangheinrich, Marc _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686487
245	1	0	_aPrivacy in Mobile and Pervasive Computing _cby Marc Langheinrich, Florian Schaub
250			_a1st edition 2019
264		1	_aCham _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XI, 129 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Mobile & Pervasive Computing _x1933-902X
505	0		_aPreface -- Acknowledgments -- Introduction -- Understanding Privacy -- Mobile and Pervasive Computing -- Privacy Implications of Mobile and Pervasive Computing -- Supporting Privacy in Mobile and Pervasive Computing -- Conclusions -- Bibliography -- Authors' Biographies.
520			_aIt is easy to imagine that a future populated with an ever-increasing number of mobile and pervasive devices that record our minute goings and doings will significantly expand the amount of information that will be collected, stored, processed, and shared about us by both corporations and governments. The vast majority of this data is likely to benefit us greatly-making our lives more convenient, efficient, and safer through custom-tailored and context-aware services that anticipate what we need, where we need it, and when we need it. But beneath all this convenience, efficiency, and safety lurks the risk of losing control and awareness of what is known about us in the many different contexts of our lives. Eventually, we may find ourselves in a situation where something we said or did will be misinterpreted and held against us, even if the activities were perfectly innocuous at the time. Even more concerning, privacy implications rarely manifest as an explicit, tangible harm. Instead, most privacy harms manifest as an absence of opportunity, which may go unnoticed even though it may substantially impact our lives. In this Synthesis Lecture, we dissect and discuss the privacy implications of mobile and pervasive computing technology. For this purpose, we not only look at how mobile and pervasive computing technology affects our expectations of-and ability to enjoy-privacy, but also look at what constitutes ""privacy"" in the first place, and why we should care about maintaining it. We describe key characteristics of mobile and pervasive computing technology and how those characteristics lead to privacy implications. We discuss seven approaches that can help support end-user privacy in the design of mobile and pervasive computing technologies, and set forward six challenges that will need to be addressed by future research. The prime target audience of this lecture are researchers and practitioners working in mobile and pervasive computing who want to better understand and account for the nuanced privacy implications of the technologies they are creating. Those new to either mobile and pervasive computing or privacy may also benefit from reading this book to gain an overview and deeper understanding of this highly interdisciplinary and dynamic field.
988			_aSynthesis Collection of Technology_2019
650		7	_2embne _9158200 _aSeguridad informática
650		7	_2embne _9147793 _aProtección de datos
700	1		_aSchaub, Florian _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686488
776	0	8	_iPrinted edition: _z9783031003158
776	0	8	_iPrinted edition: _z9783031013584
776	0	8	_iPrinted edition: _z9783031036149
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-02486-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eb _zSI