Mining permission patterns for contrasting clean and malicious android applications
نویسندگان
چکیده
منابع مشابه
Mining permission patterns for contrasting clean and malicious android applications
Android application uses permission system to regulate the access to system resources and users’ privacy-relevant information. Existing work have demonstrated several techniques to study the required permissions declared by the developers, but few attention has been paid for used permissions. Besides, no specific permission combination is identified to be effective for malware detection. To fil...
متن کاملContrasting Permission Patterns between Clean and Malicious Android Applications
The Android platform uses a permission system model to allow users and developers to regulate access to private information and system resources required by applications. Permissions have been proved to be useful for inferring behaviors and characteristics of an application. In this paper, a novel method to extract contrasting permission patterns for clean and malicious applications is proposed...
متن کاملMining Permission Request Patterns from Android and Facebook Applications (extended author version)
Android and Facebook provide third-party applications with access to users’ private data and the ability to perform potentially sensitive operations (e.g., post to a user’s wall or place phone calls). As a security measure, these platforms restrict applications’ privileges with permission systems: users must approve the permissions requested by applications before the applications can make priv...
متن کاملMalicious Behavior Monitoring for Android Applications
Android, as a modern popular open source mobile platform, makes its security issues more prominent, especially in user privacy leakage. In this paper, we proposed a twostep model which combines static and dynamic analysis approaches. During the static analysis, permission combination matrix is used to determine whether an application has potential risks. For those suspicious applications, based...
متن کاملAndroid Malware Clustering Through Malicious Payload Mining
Clustering has been well studied for desktop malware analysis as an effective triage method. Conventional similarity-based clustering techniques, however, cannot be immediately applied to Android malware analysis due to the excessive use of third-party libraries in Android application development and the widespread use of repackaging in malware development. We design and implement an Android ma...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Future Generation Computer Systems
سال: 2014
ISSN: 0167-739X
DOI: 10.1016/j.future.2013.09.014