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      Behaviour-based/Trend-based malware analysis on the Android Application

      Thumbnail
      SCE16_0265_SIOW_JING_KAI_REPORT.pdf (3.390Mb)
      Author
      Siow, Jing Kai
      Date of Issue
      2017-04-18
      School
      School of Computer Science and Engineering
      Abstract
      Malicious software, as known as malware, has raised an increasing concern over the recent years. This paper outlines the trend and static behaviour of various malware that are commonly found in the android application. Static behaviour of the malicious application can be reverse-engineer into multiple phase. This can be done using various tools that are available in the internet. With understanding of the smali and Java programming language, the static behaviour of any Android application can be learned easily. Trend analysis can be carried out using the dataset that are gathered throughout various android market, such as wangyi, googleplay, QQ etc. This paper also outlines the techniques and aspects that are used in analysing the trends and the behaviour of the malicious application. Using various analysing aspects and techniques, several statistics data was inferred from the database. These results can be useful for more future study and statistical analysis. This information can be valuable to the community of the malware researchers.
      Subject
      DRNTU::Engineering
      Type
      Final Year Project (FYP)
      Rights
      Nanyang Technological University
      Collections
      • SCSE Student Reports (FYP/IA/PA/PI)

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