國立虎尾科技大學 |

Android Application Security = A Semantics and Context-Aware Approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Android Application Security/ by Mu Zhang, Heng Yin.
其他題名:	A Semantics and Context-Aware Approach /
作者:	Zhang, Mu.
其他作者:	Yin, Heng.
面頁冊數:	XI, 105 p. 37 illus., 29 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer security. -
電子資源:	https://doi.org/10.1007/978-3-319-47812-8
ISBN:	9783319478128

Android Application Security = A Semantics and Context-Aware Approach /
Zhang, Mu.

Android Application SecurityA Semantics and Context-Aware Approach /[electronic resource] :by Mu Zhang, Heng Yin. - 1st ed. 2016. - XI, 105 p. 37 illus., 29 illus. in color.online resource. - SpringerBriefs in Computer Science,2191-5768. - SpringerBriefs in Computer Science,.

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.

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.

ISBN: 9783319478128

Standard No.: 10.1007/978-3-319-47812-8doiSubjects--Topical Terms:

557122
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Android Application Security = A Semantics and Context-Aware Approach /
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