Pengbin Feng
Cited by
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A novel dynamic android malware detection system with ensemble learning
P Feng, J Ma, C Sun, X Xu, Y Ma
IEEE Access 6, 30996-31011, 2018
Lightweight security authentication mechanism towards UAV networks
L Teng, M Jianfeng, F Pengbin, M Yue, M Xindi, Z Jiawei, C Gao, L Di
2019 International Conference on Networking and Network Applications (NaNA …, 2019
Patchdb: A large-scale security patch dataset
X Wang, S Wang, P Feng, K Sun, S Jajodia
2021 51st Annual IEEE/IFIP International Conference on Dependable Systems …, 2021
Patchrnn: A deep learning-based system for security patch identification
X Wang, S Wang, P Feng, K Sun, S Jajodia, S Benchaaboun, F Geck
MILCOM 2021-2021 IEEE Military Communications Conference (MILCOM), 595-600, 2021
Enhancing malware analysis sandboxes with emulated user behavior
S Liu, P Feng, S Wang, K Sun, J Cao
Computers & Security 115, 102613, 2022
Android malware detection based on call graph via graph neural network
P Feng, J Ma, T Li, X Ma, N Xi, D Lu
2020 International Conference on Networking and Network Applications (NaNA …, 2020
Android malware detection via graph representation learning
P Feng, J Ma, T Li, X Ma, N Xi, D Lu
Mobile Information Systems 2021, 1-14, 2021
Uber: Combating sandbox evasion via user behavior emulators
P Feng, J Sun, S Liu, K Sun
Information and Communications Security: 21st International Conference …, 2020
Selecting critical data flows in Android applications for abnormal behavior detection
P Feng, J Ma, C Sun
Mobile Information Systems 2017, 2017
Binprov: Binary code provenance identification without disassembly
X He, S Wang, Y Xing, P Feng, H Wang, Q Li, S Chen, K Sun
Proceedings of the 25th International Symposium on Research in Attacks …, 2022
Honeybog: A hybrid webshell honeypot framework against command injection
S Liu, P Feng, K Sun
2021 IEEE Conference on Communications and Network Security (CNS), 218-226, 2021
BejaGNN: behavior-based Java malware detection via graph neural network
P Feng, L Yang, D Lu, N Xi, J Ma
The Journal of Supercomputing 79 (14), 15390-15414, 2023
Catradroid: A call trace driven detection of malicious behaiviors in android applications
C Sun, J Chen, P Feng, J Ma
Machine Learning for Cyber Security: Second International Conference, ML4CS …, 2019
Information flow based defensive chain for data leakage detection and prevention: a survey
N Xi, C Chen, J Zhang, C Sun, S Liu, P Feng, J Ma
arXiv preprint arXiv:2106.04951, 2021
Data-oriented instrumentation against information leakages of Android applications
C Sun, P Feng, T Li, J Ma
2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC …, 2017
Measuring the risk value of sensitive dataflow path in Android applications
P Feng, C Sun, J Ma
Security and Communication Networks 9 (18), 5918-5933, 2016
GlareShell: Graph learning-based PHP webshell detection for web server of industrial internet
P Feng, D Wei, Q Li, Q Wang, Y Hu, N Xi, J Ma
Computer Networks 245, 110406, 2024
DawnGNN: Documentation augmented windows malware detection using graph neural network
P Feng, L Gai, L Yang, Q Wang, T Li, N Xi, J Ma
Computers & Security, 103788, 2024
BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning
X He, S Wang, P Feng, X Wang, S Sun, Q Li, K Sun
arXiv preprint arXiv:2312.07921, 2023
ACDroid: Detecting Collusion Applications on Smart Devices
N Xi, Y He, Y Zhang, Z Wang, P Feng
International Conference on Science of Cyber Security, 3-22, 2023
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