Android Application Security (Record no. 57725)

000 -LEADER
fixed length control field 03537nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-319-47812-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112227.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161117s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319478128
-- 978-3-319-47812-8
082 04 - CLASSIFICATION NUMBER
Call Number 005.8
100 1# - AUTHOR NAME
Author Zhang, Mu.
245 10 - TITLE STATEMENT
Title Android Application Security
Sub Title A Semantics and Context-Aware Approach /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 105 p. 37 illus., 29 illus. in color.
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Computer Science,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Background -- Semantics-Aware Android Malware Classification -- Automatic Generation of Vulnerability-Specific Patches for Preventing Component Hijacking Attacks -- Efficient and Context-Aware Privacy Leakage Confinement -- Automatic Generation of Security-Centric Descriptions for Android Apps -- Limitation and Future Work -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Yin, Heng.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-47812-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
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-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer communication systems.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer security.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Systems and Data Security.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2191-5768
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-- ZDB-2-SCS

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