Feng Dong

According to our database, Feng Dong authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

CanCal: Towards Real-time and Lightweight Ransomware Detection and Response in Industrial Environments.

Shenao Wang, Feng Dong, Hangfeng Yang, Jingheng Xu, Haoyu Wang

CoRR, 2024

NODLINK: An Online System for Fine-Grained APT Attack Detection and Investigation.

Shaofei Li, Feng Dong, Xusheng Xiao, Haoyu Wang, Fei Shao, Jiedong Chen, Yao Guo, Xiangqun Chen, Ding Li

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

2023

DISTDET: A Cost-Effective Distributed Cyber Threat Detection System.

Feng Dong, Liu Wang, Xu Nie, Fei Shao, Haoyu Wang, Ding Li, Xiapu Luo, Xusheng Xiao

Proceedings of the 32nd USENIX Security Symposium, 2023

Re-measuring the Label Dynamics of Online Anti-Malware Engines from Millions of Samples.

Jingjing Wang, Liu Wang, Feng Dong, Haoyu Wang

Proceedings of the 2023 ACM on Internet Measurement Conference, 2023

Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools.

Feng Dong, Shaofei Li, Peng Jiang, Ding Li, Haoyu Wang, Liangyi Huang, Xusheng Xiao, Jiedong Chen, Xiapu Luo, Yao Guo, Xiangqun Chen

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2020

MadDroid: Characterising and Detecting Devious Ad Content for Android Apps.

Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé, Jacques Klein

CoRR, 2020

MadDroid: Characterizing and Detecting Devious Ad Contents for Android Apps.

Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé, Jacques Klein

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2018

Defect Prediction in Android Binary Executables Using Deep Neural Network.

Feng Dong, Junfeng Wang, Qi Li, Guoai Xu, Shaodong Zhang

Wirel. Pers. Commun., 2018

How do Mobile Apps Violate the Behavioral Policy of Advertisement Libraries?

Feng Dong, Haoyu Wang, Li Li, Yao Guo, Guoai Xu, Shaodong Zhang

Proceedings of the 19th International Workshop on Mobile Computing Systems & Applications, 2018

FraudDroid: automated ad fraud detection for Android apps.

Feng Dong, Haoyu Wang, Li Li, Yao Guo, Tegawendé F. Bissyandé, Tianming Liu, Guoai Xu, Jacques Klein

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

2017

FrauDroid: An Accurate and Scalable Approach to Automated Mobile Ad Fraud Detection.

Feng Dong, Haoyu Wang, Yuanchun Li, Yao Guo, Li Li, Shaodong Zhang, Guoai Xu

CoRR, 2017

2016

ClassifyDroid: Large scale Android applications classification using semi-supervised Multinomial Naive Bayes.

Feng Dong, Yanhui Guo, Chengze Li, Guoai Xu, Fang Wei

Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016