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Android Application Security

A Semantics and Context-Aware Approach

  • Mu Zhang
  • Heng Yin

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

Table of contents

  1. Front Matter
    Pages i-xi
  2. Mu Zhang, Heng Yin
    Pages 1-5
  3. Mu Zhang, Heng Yin
    Pages 7-18
  4. Mu Zhang, Heng Yin
    Pages 19-43
  5. Mu Zhang, Heng Yin
    Pages 99-103
  6. Mu Zhang, Heng Yin
    Pages 105-105

About this book

Introduction

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 language descriptions. 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.

Keywords

Android application security Security Program analysis Taint analysis Malware classification Software vulnerability Privacy leakage Bytecode rewriting Android app description Natural language generation Cyber threats Semantics Context aware techniques Malware Mobile security Mobile applications

Authors and affiliations

  • Mu Zhang
    • 1
  • Heng Yin
    • 2
  1. 1.Computer Security DepartmentNEC Laboratories America, Inc.PrincetonUSA
  2. 2.University of California, RiversideRiversideUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-47812-8
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-47811-1
  • Online ISBN 978-3-319-47812-8
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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