Pengbin Feng

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Malware Detection

Information Flow

Top Venues

Mob. Inf. Syst.

Publications

Xu He, Shu Wang, Pengbin Feng, Xinda Wang, Shiyu Sun, Qi Li, Kun Sun
BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning. AsiaCCS (2024)
Pengbin Feng, Dawei Wei, Qiaoyang Li, Qin Wang, Youbing Hu, Ning Xi, Jianfeng Ma
GlareShell: Graph learning-based PHP webshell detection for web server of industrial internet. Comput. Networks 245 (2024)
Pengbin Feng, Le Gai, Li Yang, Qin Wang, Teng Li, Ning Xi, Jian Feng Ma
DawnGNN: Documentation augmented windows malware detection using graph neural network. Comput. Secur. 140 (2024)
Pengbin Feng, Li Yang, Di Lu, Ning Xi, Jian-Feng Ma
BejaGNN: behavior-based Java malware detection via graph neural network. J. Supercomput. 79 (14) (2023)
Xu He, Shu Wang, Pengbin Feng, Xinda Wang, Shiyu Sun, Qi Li, Kun Sun
BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning. CoRR (2023)
Ning Xi, Yihuan He, Yuchen Zhang, Zhi Wang, Pengbin Feng
ACDroid: Detecting Collusion Applications on Smart Devices. SciSec (2023)
Songsong Liu, Pengbin Feng, Jiahao Cao, Xu He, Tommy Chin, Kun Sun, Qi Li
Consistency is All I Ask: Attacks and Countermeasures on the Network Context of Distributed Honeypots. DIMVA (2022)
Xu He, Shu Wang, Yunlong Xing, Pengbin Feng, Haining Wang, Qi Li, Songqing Chen, Kun Sun
BinProv: Binary Code Provenance Identification without Disassembly. RAID (2022)
Songsong Liu, Pengbin Feng, Shu Wang, Kun Sun, Jiahao Cao
Enhancing malware analysis sandboxes with emulated user behavior. Comput. Secur. 115 (2022)
Ning Xi, Chao Chen, Jun Zhang, Cong Sun, Shigang Liu, Pengbin Feng, Jianfeng Ma
Information flow based defensive chain for data leakage detection and prevention: a survey. CoRR (2021)
Xinda Wang, Shu Wang, Pengbin Feng, Kun Sun, Sushil Jajodia
PatchDB: A Large-Scale Security Patch Dataset. DSN (2021)
Pengbin Feng, Jianfeng Ma, Teng Li, Xindi Ma, Ning Xi, Di Lu
Android Malware Detection via Graph Representation Learning. Mob. Inf. Syst. 2021 (2021)
Xinda Wang, Shu Wang, Pengbin Feng, Kun Sun, Sushil Jajodia, Sanae Benchaaboun, Frank Geck
PatchRNN: A Deep Learning-Based System for Security Patch Identification. MILCOM (2021)
Songsong Liu, Pengbin Feng, Kun Sun
HoneyBog: A Hybrid Webshell Honeypot Framework against Command Injection. CNS (2021)
Xinda Wang, Shu Wang, Pengbin Feng, Kun Sun, Sushil Jajodia, Sanae Benchaaboun, Frank Geck
PatchRNN: A Deep Learning-Based System for Security Patch Identification. CoRR (2021)
Pengbin Feng, Jianfeng Ma, Teng Li, Xindi Ma, Ning Xi, Di Lu
Android Malware Detection Based on Call Graph via Graph Neural Network. NaNA (2020)
Cong Sun, Jun Chen, Pengbin Feng, Jianfeng Ma
CatraDroid: A Call Trace Driven Detection of Malicious Behaiviors in Android Applications. ML4CS (2019)
Xue Rao, Ning Xi, Jing Lv, Pengbin Feng
Compositional Information Flow Verification for Inter Application Communications in Android System. ML4CS (2019)
Teng Li, Jianfeng Ma, Pengbin Feng, Yue Meng, XinDi Ma, Jiawei Zhang, Chenyang Gao, Di Lu
Lightweight Security Authentication Mechanism Towards UAV Networks. NaNA (2019)
Pengbin Feng, Jianhua Sun, Songsong Liu, Kun Sun
UBER: Combating Sandbox Evasion via User Behavior Emulators. ICICS (2019)
Pengbin Feng, Jianfeng Ma, Cong Sun, Xinpeng Xu, Yuwan Ma
A Novel Dynamic Android Malware Detection System With Ensemble Learning. IEEE Access 6 (2018)
Pengbin Feng, Jianfeng Ma, Cong Sun
Selecting Critical Data Flows in Android Applications for Abnormal Behavior Detection. Mob. Inf. Syst. 2017 (2017)
Cong Sun, Pengbin Feng, Teng Li, Jianfeng Ma
Data-Oriented Instrumentation against Information Leakages of Android Applications. COMPSAC (2) (2017)
Pengbin Feng, Cong Sun, Jianfeng Ma
Measuring the risk value of sensitive dataflow path in Android applications. Secur. Commun. Networks 9 (18) (2016)