Q-learning and LSTM based deep active learning strategy for malware defense in industrial IoT applications

Author:

Khowaja Sunder AliORCID,Khuwaja Parus

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference94 articles.

1. Abadi M, Agarwal A, Barham P, et al (2016) TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

2. Abraham A, Schlecht D, Magaofei, et al Mobile Security framework (MobSF). In: GitHub https://github.com/MobSF/Mobile-Security-Framework-MobSF. Accessed 19 Dec 2019

3. Afonso VM, de Amorim MF, Grégio ARA, Junquera GB, de Geus PL (2015) Identifying android malware using dynamically obtained features. J Comput Virol Hacking Tech 11:9–17. https://doi.org/10.1007/s11416-014-0226-7

4. Ahmed A, Krishnan VVG, Foroutan SA, Touhiduzzaman M, Rublein C, Srivastava A, Wu Y, Hahn A, Suresh S (2019) Cyber physical Security analytics for anomalies in transmission protection systems. IEEE Trans Ind Appl 55:6313–6323. https://doi.org/10.1109/TIA.2019.2928500

5. Anderson HS, Kharkar A, Filar B, Roth P (2017) Evading machine learning malware detection. In: Black Hat. pp. 1–6

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