Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/67775
Title: Android malware detection using big data analytics techniques
Authors: Han, Bihui
Keywords: DRNTU::Engineering
Issue Date: 2016
Abstract: Application clones have been found in many third party markets, which not only make damage to the interest of original application developers, but also pose threats to security and privacy of mobile users. This project implements 3DCFG, which is a centroid-based clone detection method. Experiments on 10,000 Android applications demonstrate the effectiveness and scalability of the 3DCFG method. To further improve the detection speed and accuracy, a combination usage of three library detection tools is used to filter third party libraries before clone detection. A clustering-based library detection method proposed from WuKong is implemented and it is used as a library detection tool in 3DCFG library filtering part.
URI: http://hdl.handle.net/10356/67775
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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