Feng Dong

18 papers A* 8A 1Misc 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Be Careful of What You Embed: Demystifying OLE Vulnerabilities.
NDSS
Yunpeng Tian, Feng Dong, Haoyi Liu, Meng Xu, Zhiniang Peng, Zesen Ye, Shenghui Li, Xiapu Luo, Haoyu Wang
2025 A* conf
Error Messages to Fuzzing: Detecting XPS Parsing Vulnerabilities in Windows Printing Components.
CCS
Yunpeng Tian, Feng Dong, Junhai Wang, Mu Zhang, Zhiniang Peng, Zesen Ye, Xiapu Luo, Haoyu Wang
2025 A* conf
Needle in a Haystack: Automated and Scalable Vulnerability Hunting in the Windows ALPC Sea.
CCS
Haoyi Liu, Feng Dong, Yunpeng Tian, Mu Zhang, Xuefeng Li, Fangming Gu, Zhiniang Peng, Haoyu Wang
2024 A* conf
CanCal: Towards Real-time and Lightweight Ransomware Detection and Response in Industrial Environments.
CCS
Shenao Wang, Feng Dong, Hangfeng Yang, Jingheng Xu, Haoyu Wang
2024 J jnl
CanCal: Towards Real-time and Lightweight Ransomware Detection and Response in Industrial Environments.
CoRR
Shenao Wang, Feng Dong, Hangfeng Yang, Jingheng Xu, Haoyu Wang
2024 A* conf
NODLINK: An Online System for Fine-Grained APT Attack Detection and Investigation.
NDSS
Shaofei Li, Feng Dong, Xusheng Xiao, Haoyu Wang, Fei Shao, Jiedong Chen, Yao Guo, Xiangqun Chen, Ding Li
2023 A* conf
Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools.
CCS
Feng Dong, Shaofei Li, Peng Jiang, Ding Li, Haoyu Wang, Liangyi Huang, Xusheng Xiao, Jiedong Chen, Xiapu Luo, Yao Guo, Xiangqun Chen
2023 J jnl
Are we there yet? An Industrial Viewpoint on Provenance-based Endpoint Detection and Response Tools.
CoRR
Feng Dong, Shaofei Li, Peng Jiang, Ding Li, Haoyu Wang, Liangyi Huang, Xusheng Xiao, Jiedong Chen, Xiapu Luo, Yao Guo, Xiangqun Chen
2023 A* conf
DISTDET: A Cost-Effective Distributed Cyber Threat Detection System.
USENIX Security Symposium
Feng Dong, Liu Wang, Xu Nie, Fei Shao, Haoyu Wang, Ding Li, Xiapu Luo, Xusheng Xiao
2023 J jnl
NODLINK: An Online System for Fine-Grained APT Attack Detection and Investigation.
CoRR
Shaofei Li, Feng Dong, Xusheng Xiao, Haoyu Wang, Fei Shao, Jiedong Chen, Yao Guo, Xiangqun Chen, Ding Li
2023 A conf
Re-measuring the Label Dynamics of Online Anti-Malware Engines from Millions of Samples.
IMC
Jingjing Wang, Liu Wang, Feng Dong, Haoyu Wang
2020 J jnl
MadDroid: Characterising and Detecting Devious Ad Content for Android Apps.
CoRR
Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé, Jacques Klein
2020 A* conf
MadDroid: Characterizing and Detecting Devious Ad Contents for Android Apps.
WWW
Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé, Jacques Klein
2018 J jnl
Defect Prediction in Android Binary Executables Using Deep Neural Network.
Wirel. Pers. Commun.
Feng Dong, Junfeng Wang, Qi Li, Guoai Xu, Shaodong Zhang
2018 — conf
FraudDroid: automated ad fraud detection for Android apps.
ESEC/SIGSOFT FSE
Feng Dong, Haoyu Wang, Li Li, Yao Guo, Tegawendé F. Bissyandé, Tianming Liu, Guoai Xu, Jacques Klein
2018 Misc conf
How do Mobile Apps Violate the Behavioral Policy of Advertisement Libraries?
HotMobile
Feng Dong, Haoyu Wang, Li Li, Yao Guo, Guoai Xu, Shaodong Zhang
2017 J jnl
FrauDroid: An Accurate and Scalable Approach to Automated Mobile Ad Fraud Detection.
CoRR
Feng Dong, Haoyu Wang, Yuanchun Li, Yao Guo, Li Li, Shaodong Zhang, Guoai Xu
2016 — conf
ClassifyDroid: Large scale Android applications classification using semi-supervised Multinomial Naive Bayes.
CCIS
Feng Dong, Yanhui Guo, Chengze li, Guoai Xu, Fang Wei