Android Malware Detection Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-4928-7_4
Reference11 articles.
1. Vinayakumar R, Soman KP, Poornachandran P (2017) Deep android malware detection and classification. In: 2017 international conference on advances in computing, communications and informatics (ICACCI), Udupi, pp 1677–1683
2. Ali PD, Kumar TG (2017) Malware capturing and detection in Dionaea honeypot. In: 2017 innovations in power and advanced computing technologies (i-PACT), Vellore, pp 1–5. https://doi.org/10.1109/IPACT.2017.8245158
3. Zhou Y, Jiang X (2012) Dissecting android malware: characterization and evolution. In: Proceedings of 2012 IEEE symposium on security and privacy (SP), San Fransisco, CA, USA, 20–23 May 2012, pp 95–109
4. Arp D, Spreitzenbarth M, Hubner M, Gascon H, Rieck K (2014) Drebin: efficient and explainable detection of Android malware in your pocket. In: Proceedings of 20th annual network & distributed system security symposium (NDSS), San Diego, CA, USA, 23–26 Feb 2014
5. Masum M, Shahriar H (2019) Droid-NNet: deep learning neural network for android malware detection. In: 2019 IEEE international conference on big data (big data). IEEE
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