Privacy in Mobile and Pervasive Computing. Florian Schaub
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Privacy in Mobile and Pervasive Computing
Synthesis Lectures on Mobile and Pervasive Computing
Editor
Mahadev Satyanarayanan, Carnegie Mellon University
Synthesis Lectures on Mobile and Pervasive Computing is edited by Mahadev Satyanarayanan of Carnegie Mellon University. Mobile computing and pervasive computing represent major evolutionary steps in distributed systems, a line of research and development that dates back to the mid-1970s. Although many basic principles of distributed system design continue to apply, four key constraints of mobility have forced the development of specialized techniques. These include: unpredictable variation in network quality, lowered trust and robustness of mobile elements, limitations on local resources imposed by weight and size constraints, and concern for battery power consumption. Beyond mobile computing lies pervasive (or ubiquitous) computing, whose essence is the creation of environments saturated with computing and communication, yet gracefully integrated with human users. A rich collection of topics lies at the intersections of mobile and pervasive computing with many other areas of computer science.
Privacy in Mobile and Pervasive Computing
Marc Langheinrich and Florian Schaub
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Copyright © 2019 by Morgan & Claypool
All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher.
Privacy in Mobile and Pervasive Computing
Marc Langheinrich and Florian Schaub
ISBN: 9781681731179 paperback
ISBN: 9781681731186 ebook
ISBN: 9781681734712 epub
ISBN: 9781681734583 hardcover
DOI 10.2200/S00882ED1V01Y201810MPC013
A Publication in the Morgan & Claypool Publishers series
SYNTHESIS LECTURES ON MOBILE AND PERVASIVE COMPUTING
Lecture #13
Series Editor: Mahadev Satyanarayanan, Carnegie Mellon University
Series ISSN
Print 1933-9011 Electronic 1933-902X
Privacy in Mobile and Pervasive Computing
Marc Langheinrich
Università della Svizzera Italiana (USI)
Florian Schaub
University of Michigan
SYNTHESIS LECTURES ON MOBILE AND PERVASIVE COMPUTING #13
ABSTRACT
It 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.
KEYWORDS
mobile computing, pervasive computing, ubiquitous computing, Internet of Things, privacy, security, privacy-enhancing technology, privacy behavior, privacy engineering
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