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  1. Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics (IWSPA '17)
  2. Tracing the Arc of Smartphone Application Security
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Non-interactive (t, n)-Incidence Counting from Differentially Private Indicator Vectors
Continuous Authentication Using Behavioral Biometrics
Tracing the Arc of Smartphone Application Security
What's in a URL: Fast Feature Extraction and Malicious URL Detection
An Internal/Insider Threat Score for Data Loss Prevention and Detection
Analysis of Causative Attacks against SVMs Learning from Data Streams
Predicting Exploitation of Disclosed Software Vulnerabilities Using Open-source Data
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning
Model-based Cluster Analysis for Identifying Suspicious Activity Sequences in Software
MCDefender: Toward Effective Cyberbullying Defense in Mobile Online Social Networks
Feature Cultivation in Privileged Information-augmented Detection
Identifying Key Cyber-Physical Terrain

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Tracing the Arc of Smartphone Application Security (IWSPA '17)

Content Provider ACM Digital Library
Author McDaniel, Patrick
Abstract The introduction of smart phones in the mid-2000s forever changed the way users interact with data and computation--and through it prompted a renaissance of digital innovation. Yet, at the same time, the architectures, applications and services that fostered this new reality fundamentally altered the relationship between users and security and privacy. In this talk I map the scientific community's evolving efforts over the last decade in evaluating smart phone application security and privacy. I consider several key scientific questions and explore the methods and tools used to answer them. Through this exposition, I show how our joint understanding of adversary and industry practices have matured over time, and briefly consider how these results have informed and shaped technical public policy in the United States. I conclude with a discussion of the open problems and opportunities in mobile device security and privacy.
Starting Page 43
Ending Page 43
Page Count 1
File Format PDF
ISBN 9781450349093
DOI 10.1145/3041008.3053682
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2017-03-24
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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