1. Analysis of Android Malicious Applications and Detection Technology [EB/OL]. [2019-05-09]. https://www.secrss.com/articles/10524. Analysis of Android Malicious Applications and Detection Technology [EB/OL]. [2019-05-09]. https://www.secrss.com/articles/10524.
2. Deloitte OPPO. 2021 Mobile Application (APP) Personal Information Protection White Paper [R/OL]. [2021-10]. https://www2.deloitte.com Deloitte OPPO. 2021 Mobile Application (APP) Personal Information Protection White Paper [R/OL]. [2021-10]. https://www2.deloitte.com
3. MMIT. 2021 National Mobile Application Security Observation Report [R/OL].[2022-01]. https://www.freebuf.com/articles/network/320742.html MMIT. 2021 National Mobile Application Security Observation Report [R/OL].[2022-01]. https://www.freebuf.com/articles/network/320742.html
4. Tarar N , Sharma S , Krishna C R . Analysis and Classification of Android Malware using Machine Learning Algorithms[C]// 2018 3rd International Conference on Inventive Computation Technologies (ICICT) . 2018 . Tarar N , Sharma S , Krishna C R . Analysis and Classification of Android Malware using Machine Learning Algorithms[C]// 2018 3rd International Conference on Inventive Computation Technologies (ICICT). 2018.
5. CogramDroid–An approach towards malware detection in Android using opcode ngrams