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El. knyga: Auditing Corporate Surveillance Systems: Research Methods for Greater Transparency

(De Montfort University, Leicester)
  • Formatas: PDF+DRM
  • Išleidimo metai: 31-Mar-2022
  • Leidėjas: Cambridge University Press
  • Kalba: eng
  • ISBN-13: 9781108950060
  • Formatas: PDF+DRM
  • Išleidimo metai: 31-Mar-2022
  • Leidėjas: Cambridge University Press
  • Kalba: eng
  • ISBN-13: 9781108950060

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News headlines about privacy invasions, discrimination, and biases discovered in the platforms of big technology companies are commonplace today, and big tech's reluctance to disclose how they operate counteracts ideals of transparency, openness, and accountability. This book is for computer science students and researchers who want to study big tech's corporate surveillance from an experimental, empirical, or quantitative point of view and thereby contribute to holding big tech accountable. As a comprehensive technical resource, it guides readers through the corporate surveillance landscape and describes in detail how corporate surveillance works, how it can be studied experimentally, and what existing studies have found. It provides a thorough foundation in the necessary research methods and tools, and introduces the current research landscape along with a wide range of open issues and challenges. The book also explains how to consider ethical issues and how to turn research results into real-world change.

Recenzijos

'The book is an excellent resource that reviews, categorizes, analyses and systematically compares current research publications addressing privacy vs. surveillance and the technical methods used by both sides. This book is an IEEE S&P Systematization-of-Knowledge paper (SoK) in book-length. Compiling such a complete list of research papers and systematizing them is valuable, as it has unfortunately become rare today. Every aspect of privacy research is covered in detail. For instance, Chapter 4 looks at how privacy research is designed and in one subsection focuses on how eight papers phrase their research questions that all pertain to characteristics of corporate surveillance (Table 41, page 59). I really enjoyed the book as it serves as a comprehensive collection of research and gives readers the resources to understand corporate surveillance ecosystems.' Edgar Weippl, University of Vienna 'Isabel Wagner's book on Auditing Corporate Surveillance Systems is a thorough and comprehensive treatise of the evolution of web tracking and how researchers have attempted to reclaim privacy for web users. It is an excellent resource for those who not only wish to get up to speed with the current state of the art, but also want to build future privacy-enhancing systems with real-world impact.' Nick Nikiforakis, Stony Brook University

Daugiau informacijos

A technical guide to performing systematic experiments that create more transparency for corporate surveillance and its algorithms.
List of Figures viii
List of Tables x
List of Listings xii
Preface xiii
Part I Corporate Surveillance Landscape 1(56)
1 Corporate Surveillance and the Need for Transparency
3(11)
1.1 Evolution of Online Corporate Surveillance
3(2)
1.2 Ecosystem of Corporate Surveillance
5(2)
1.3 Motives for Corporate Surveillance
7(2)
1.4 Undesirable Effects of Corporate Surveillance
9(2)
1.5 Need for Transparency
11(3)
2 Technologies for Corporate Surveillance
14(14)
2.1 Networking Services
14(7)
2.2 Web-Based Services
21(3)
2.3 Mobile Services
24(4)
3 Methods of Corporate Surveillance
28(29)
3.1 Tracking
28(11)
3.2 Profiling
39(5)
3.3 Analytics
44(1)
3.4 Advertising
45(12)
Part II Methods 57(118)
4 Experiment Design
59(42)
4.1 Research Questions
59(6)
4.2 Study Designs
65(5)
4.3 Longitudinal Studies
70(1)
4.4 Challenges of Studying Black-Box Systems
70(4)
4.5 Input Variables
74(13)
4.6 Response Variables
87(14)
5 Data Collection
101(24)
5.1 Ethical Considerations
101(7)
5.2 Archival Data Sources
108(3)
5.3 Passive Data Collection
111(1)
5.4 Active Data Collection
112(6)
5.5 Data Collection from Mobile Apps
118(1)
5.6 Crowdsourcing
118(5)
5.7 Data Storage
123(2)
6 Data Analysis
125(50)
6.1 Quantitative Measures for Transparency Research
125(7)
6.2 Heuristics for Extracting Response Variables
132(15)
6.3 Machine Learning and Natural Language Processing
147(14)
6.4 Analysis of Mobile Apps
161(3)
6.5 Statistics
164(11)
Part III Results 175(70)
7 Transparency for Corporate Surveillance Methods
177(23)
7.1 Tracking
177(9)
7.2 Profiling
186(2)
7.3 Analytics
188(1)
7.4 Advertising
188(12)
8 Transparency for Corporate Services
200(25)
8.1 Networking Services
200(2)
8.2 Web-Based Services
202(16)
8.3 Mobile Services
218(7)
9 Effectiveness of Countermeasures
225(20)
9.1 Ad Blockers
225(10)
9.2 Tracker Blockers
235(2)
9.3 Fingerprinting Blockers
237(3)
9.4 Obfuscation
240(2)
9.5 Tools to Raise User Awareness
242(1)
9.6 Tools for Mobile Applications
243(2)
Part IV Gaps And Challenges 245(40)
10 Making It Count: Towards Real-World Impact
247(17)
10.1 Planning for Real-World Impact
249(2)
10.2 Engaging Stakeholders and Communicating Results
251(13)
11 Future Directions in Transparency Research
264(21)
11.1 Methodological Challenges
264(8)
11.2 Open Research Questions
272(4)
11.3 Internet of Things
276(4)
11.4 Smart Cities
280(5)
References 285(36)
Index 321
Isabel Wagner is an Associate Professor in the Cyber Technology Institute at De Montfort University. She is a Senior Member of IEEE and ACM. Her research in privacy, computer networks, and experimental research methods is the foundation for this book on transparency and web measurement. She has given tutorials on this topic, for example at WWW 2020, and taught undergraduate and postgraduate courses on experimental methods to study corporate surveillance.