CogramDroid–An approach towards malware detection in Android using opcode ngrams

Author:

Bhat Parnika1ORCID,Dutta Kamlesh1

Affiliation:

1. Department of Computer Science and Engineering National Institute of Technology Hamirpur India

Funder

Ministry of Human Resource Development

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference28 articles.

1. StatcounterOperating system market share worldwide;2020.https://gs.statcounter.com/os‐market‐share.

2. Statista. Number of available applications in the Google play store from December 2009 to June 2020;2020.https://www.statista.com/statistics/266210/number‐of‐available‐applications‐in‐the‐google‐play‐store.

3. KumarM. New android flaw affecting over 1 billion phones let attackers hijack apps.The Hacker News;2020.https://thehackernews.com/2020/05/stranhogg‐android‐vulnerability.html.

4. CebucE. How are we doing with android's overlay attacks in 2020? F‐Secure;2020.https://thehackernews.com/2020/05/stranhogg‐android‐vulnerability.html.

5. PalmerD. Mobile security: these seven malicious apps have been downloaded by 2.4m Android and iPhone users security;2020.https://www.zdnet.com/article/mobile‐security‐these‐seven‐malicious‐apps‐have‐been‐downloaded‐by‐2‐4m‐android‐and‐iphone‐users/.

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3. Two-path Android Malware Detection Based on N-gram Feature Weighting;2022 4th International Conference on Information Technology and Computer Communications (ITCC);2022-06-23

4. Survey on Recent Malware Detection Techniques for IoT;Lecture Notes in Electrical Engineering;2022

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