Personal visual analytics for android security risk lifelog

Yoo, Seong-Joon; Ryu, Hong Ryeol; Yeon, Hanbyul; Kwon, Taekyoung; Jang, Yun

doi:10.1145/3105971.3105975

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Android Malware Application Detection and Ranking1

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2019

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“…Visualizing app activities enhances user's awareness and sensitivity to the privacy intrusiveness of mobile applications [84]. Another attempt to visualize the permissions statistics was also introduced in [85] using lifelog analysis views in terms of risk history and app's risk view.…”

Section: Android Malware Application Detection and Rankingmentioning

confidence: 99%

Android Application Security Scanning Process

Almomani¹,

Alenezi²

2019

Telecommunication Systems - Principles and Applications of Wireless-Optical Technologies

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This chapter presents the security scanning process for Android applications. The aim is to guide researchers and developers to the core phases/steps required to analyze Android applications, check their trustworthiness, and protect Android users and their devices from being victims to different malware attacks. The scanning process is comprehensive, explaining the main phases and how they are conducted including (a) the download of the apps themselves; (b) Android application package (APK) reverse engineering; (c) app feature extraction, considering both static and dynamic analysis; (d) dataset creation and/or utilization; and (e) data analysis and data mining that result in producing detection systems, classification systems, and ranking systems. Furthermore, this chapter highlights the app features, evaluation metrics, mechanisms and tools, and datasets that are frequently used during the app's security scanning process.

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Section: Android Malware Application Detection and Rankingmentioning

confidence: 99%