Author:
Kamal Muhammad Farrid Affiq Hairul,Hamid Isredza Rahmi A.,Abdullah Noryusliza,Abdullah Zubaile,Ahmad Masitah,Shah Wahidah Md
Publisher
Springer International Publishing
Reference23 articles.
1. Maier, D., Muller, T., Protsenko, M.: Divide-and-conquer: why android malware cannot be stopped, pp. 30–39 (2014)
2. Karbab, E.M.B., Debbabi, M., Derhab, A., Mouheb, D.: MalDozer: automatic framework for android malware detection using deep learning, pp. S48–S59 (2018)
3. Malware Statistics & Trends Report | AV-TEST. https://www.av-test.org/en/statistics/malware/. Accessed 19 Dec 2020
4. Sheen, S., Anitha, R., Natarajan, V.: Android based malware detection using a multifeature collaborative decision fusion approach, pp. 905–912 (2015)
5. Faruki, P., Kumar, V., Ammar, B., Gaur, M.S., Laxmi, V., Conti, M.: Platform neutral sandbox for analyzing malware and resource hogger apps, pp. 556–560 (2015)
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