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Android Application Security

A Semantics and Context-Aware Approach

  • Book
  • © 2016

Overview

Authors:
  1. Mu Zhang

    1. Computer Security Department, NEC Laboratories America, Inc., Princeton, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Heng Yin

    1. University of California, Riverside, Riverside, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction

    • Mu Zhang, Heng Yin
    Pages 1-5

  3. Background

    • Mu Zhang, Heng Yin
    Pages 7-18

  4. Semantics-Aware Android Malware Classification

    • Mu Zhang, Heng Yin
    Pages 19-43

  5. Automatic Generation of Vulnerability-Specific Patches for Preventing Component Hijacking Attacks

    • Mu Zhang, Heng Yin
    Pages 45-61

  6. Efficient and Context-Aware Privacy Leakage Confinement

    • Mu Zhang, Heng Yin
    Pages 63-76

  7. Automatic Generation of Security-Centric Descriptions for Android Apps

    • Mu Zhang, Heng Yin
    Pages 77-98

  8. Limitation and Future Work

    • Mu Zhang, Heng Yin
    Pages 99-103

  9. Conclusion

    • Mu Zhang, Heng Yin
    Pages 105-105
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Keywords

About this book

This SpringerBrief explains the emerging cyber threats that undermine Android application security. It further explores the opportunity to leverage the cutting-edge semantics and context–aware techniques to defend against such threats, including zero-day Android malware, deep software vulnerabilities, privacy breach and insufficient security warnings in app descriptions. The authors begin by introducing the background of the field, explaining the general operating system, programming features, and security mechanisms. The authors capture the semantic-level behavior of mobile applications and use it to reliably detect malware variants and zero-day malware. Next, they propose an automatic patch generation technique to detect and block dangerous information flow. A bytecode rewriting technique is used to confine privacy leakage. User-awareness, a key factor of security risks, is addressed by automatically translating security-related program semantics into natural languagedescriptions. Frequent behavior mining is used to discover and compress common semantics. As a result, the produced descriptions are security-sensitive, human-understandable and concise.
By covering the background, current threats, and future work in this field, the brief is suitable for both professionals in industry and advanced-level students working in mobile security and applications. It is valuable for researchers, as well.


Authors and Affiliations

  • Computer Security Department, NEC Laboratories America, Inc., Princeton, USA

    Mu Zhang

  • University of California, Riverside, Riverside, USA

    Heng Yin

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