DocumentCode :
2318783
Title :
Android privacy
Author :
Wei, Te-en ; Jeng, Albert B. ; Lee, Hahn-ming ; Chen, Chih-how ; Tien, Chin-wei
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Volume :
5
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
1830
Lastpage :
1837
Abstract :
Due to technological progress, today´s mobile phones have evolved into technically and functionally sophisticated smartphones which have more in common with computers than with the conventional phones. As a result of their popularity and functionality, smartphones are a burgeoning target for malicious activities In Android privacy; we undertake two aspects such as user and developer. For users, a known fact in Android mobile, any app can be downloaded from Android Market without accessing a significant quantity of personal data which is different in App Store. For app developers, the App Store´s method acquires developed app need to be signed using a private encryption key. Furthermore, several privacy related data such as personal information, IMEI, and location which are leaks already existing in Android Smartphone for a while. In this paper, we explain what kind of data is at risk and how to acquire them programmatically without the user´s permission. We will focus on how to obtain the data illicitly which are of Android privacy concerns and the categorization of these Android privacy issues. For example, mobile number, email accounts, keyboard cache entries, browser searches and the most recent location are sensitive data attractive to the attackers. This paper also shows how we use the Android API to perform our Spyware to obtain the sensitive information. Some attack scenarios and recommendations are also presented.
Keywords :
application program interfaces; data privacy; private key cryptography; smart phones; Android API; Android market; Android mobile; Android privacy; Android smartphone; App store method; developer; malicious activities; mobile phones; private encryption key; smartphones; spyware; user; Abstracts; Androids; Humanoid robots; Privacy; Spyware; Android; Malware; Privacy; Security; Smartphone; Spyware;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6359654
Filename :
6359654
Link To Document :
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