Towards a rooted subgraph classifier for IoT botnet detection-Reference-Cited by-同舟云学术

Towards a rooted subgraph classifier for IoT botnet detection

Published:2019-07-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 7th International Conference on Computer and Communications Management
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Author:

Nguyen Huy-Trung¹,Nguyen Doan-Hieu²,Ngo Quoc-Dung³,Tran Vu-Hai³,Le Van-Hoang⁴

Affiliation:

1. Graduate University of Science and Technology, VAST, Hanoi, Vietnam

2. People's Security Academy Vietnam, Hanoi, Vietnam

3. Posts and Telecommunications Institute of Technology

4. AIS jsc

Publisher

ACM

Reference24 articles.

1. Acarali Dilara etal 2019. Modelling the Spread of Botnet Malware in IoT-Based Wireless Sensor Networks. Security and Communication Networks Hindawi. (2019) 1--13. Acarali Dilara et al. 2019. Modelling the Spread of Botnet Malware in IoT-Based Wireless Sensor Networks. Security and Communication Networks Hindawi. (2019) 1--13.

2. Detecting crypto-ransomware in IoT networks based on energy consumption footprint;Azmoodeh Amin;Journal of Ambient Intelligence and Humanized Computing,2017

3. Amin Azmoodeh etal 2018. Robust Malware Detection for Internet Of (Battlefield) Things Devices Using Deep Eigenspace Learning. IEEE Transactions on Sustainable Computing (2018) 88--95. Amin Azmoodeh et al. 2018. Robust Malware Detection for Internet Of (Battlefield) Things Devices Using Deep Eigenspace Learning. IEEE Transactions on Sustainable Computing (2018) 88--95.

4. Annamalai Narayanan Mahinthan Chandramohan Lihui Chen Yang Liu and Santhoshkumar Saminathan 2016. subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs. arXiv preprint arXiv:1606.08928 (2016). Annamalai Narayanan Mahinthan Chandramohan Lihui Chen Yang Liu and Santhoshkumar Saminathan 2016. subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs. arXiv preprint arXiv:1606.08928 (2016).

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