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Archaeology International
Architecture_MPS
Europe and the World: A law review
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The London Journal of Canadian Studies
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Data Privacy Management and Security Assurance
Privacy-Preserving Targeted Mobile Advertising: Formal Models and Analysis
other
Author(s):
Yang Liu
,
Andrew Simpson
Publication date
(Online):
September 22 2016
Publisher:
Springer International Publishing
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Big Data Privacy
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: not found
How much can behavioral targeting help online advertising?
Jun Yan
,
Ning Liu
,
Gang Wang
…
(2009)
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User-Driven Access Control: Rethinking Permission Granting in Modern Operating Systems
Bryan Parno
,
Crispin Cowan
,
Franziska Roesner
…
(2012)
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A recommendation mechanism for contextualized mobile advertising
Y.W. Tsao
,
Soe‐Tsyr Yuan
(2003)
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Author and book information
Book Chapter
Publication date (Print):
2016
Publication date (Online):
September 22 2016
Pages
: 94-110
DOI:
10.1007/978-3-319-47072-6_7
SO-VID:
ccc7c200-adb7-4b8b-b158-e29c6304364d
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Book chapters
pp. 3
Metrics for Transparency
pp. 19
Understanding Bifurcation of Slow Versus Fast Cyber-Attackers
pp. 34
Decomposing Global Quantitative Properties into Local Ones
pp. 51
Efficient SAT-Based Pre-image Enumeration for Quantitative Information Flow in Programs
pp. 61
Controlled Management of Confidentiality-Preserving Relational Interactions
pp. 78
Privacy-Preserving Abuse Detection in Future Decentralised Online Social Networks
pp. 94
Privacy-Preserving Targeted Mobile Advertising: Formal Models and Analysis
pp. 113
Searchable Encryption for Biometric Identification Revisited
pp. 130
On the User Acceptance of Privacy-Preserving Attribute-Based Credentials – A Qualitative Study
pp. 146
Investigating the Animation of Application Permission Dialogs: A Case Study of Facebook
pp. 165
Securing Multiparty Protocols Against the Exposure of Data to Honest Parties
pp. 181
Secure Frequent Pattern Mining by Fully Homomorphic Encryption with Ciphertext Packing
pp. 196
Isabelle Modelchecking for Insider Threats
pp. 213
Managing and Presenting User Attributes over a Decentralized Secure Name System
pp. 221
PRIAM: A Privacy Risk Analysis Methodology
pp. 230
A Study from the Data Anonymization Competition Pwscup 2015
pp. 238
Refactoring Preserves Security
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