Pengbin Feng

According to our database, Pengbin Feng authored at least 23 papers between 2016 and 2024.

Collaborative distances:

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

2024

Collaborative Optimization in Financial Data Mining Through Deep Learning and ResNeXt.

Pengbin Feng, Yankaiqi Li, Yijiashun Qi, Xiaojun Guo, Zhenghao Lin

CoRR, 2024

DawnGNN: Documentation augmented windows malware detection using graph neural network.

Pengbin Feng, Le Gai, Li Yang, Qin Wang, Teng Li, Ning Xi, Jian Feng Ma

Comput. Secur., 2024

GlareShell: Graph learning-based PHP webshell detection for web server of industrial internet.

Pengbin Feng, Dawei Wei, Qiaoyang Li, Qin Wang, Youbing Hu, Ning Xi, Jianfeng Ma

Comput. Networks, 2024

BinGo: Identifying Security Patches in Binary Code with Graph Representation Learning.

Xu He, Shu Wang, Pengbin Feng, Xinda Wang, Shiyu Sun, Qi Li, Kun Sun

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023

BejaGNN: behavior-based Java malware detection via graph neural network.

Pengbin Feng, Li Yang, Di Lu, Ning Xi, Jian-Feng Ma

J. Supercomput., September, 2023

ACDroid: Detecting Collusion Applications on Smart Devices.

Ning Xi, Yihuan He, Yuchen Zhang, Zhi Wang, Pengbin Feng

Proceedings of the Science of Cyber Security - 5th International Conference, 2023

2022

Enhancing malware analysis sandboxes with emulated user behavior.

Songsong Liu, Pengbin Feng, Shu Wang, Kun Sun, Jiahao Cao

Comput. Secur., 2022

BinProv: Binary Code Provenance Identification without Disassembly.

Xu He, Shu Wang, Yunlong Xing, Pengbin Feng, Haining Wang, Qi Li, Songqing Chen, Kun Sun

Proceedings of the 25th International Symposium on Research in Attacks, 2022

Consistency is All I Ask: Attacks and Countermeasures on the Network Context of Distributed Honeypots.

Songsong Liu, Pengbin Feng, Jiahao Cao, Xu He, Tommy Chin, Kun Sun, Qi Li

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2022

2021

Android Malware Detection via Graph Representation Learning.

Pengbin Feng, Jianfeng Ma, Teng Li, Xindi Ma, Ning Xi, Di Lu

Mob. Inf. Syst., 2021

Information flow based defensive chain for data leakage detection and prevention: a survey.

Ning Xi, Chao Chen, Jun Zhang, Cong Sun, Shigang Liu, Pengbin Feng, Jianfeng Ma

CoRR, 2021

PatchRNN: A Deep Learning-Based System for Security Patch Identification.

Xinda Wang, Shu Wang, Pengbin Feng, Kun Sun, Sushil Jajodia, Sanae Benchaaboun, Frank Geck

Proceedings of the 2021 IEEE Military Communications Conference, 2021

PatchDB: A Large-Scale Security Patch Dataset.

Xinda Wang, Shu Wang, Pengbin Feng, Kun Sun, Sushil Jajodia

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

HoneyBog: A Hybrid Webshell Honeypot Framework against Command Injection.

Songsong Liu, Pengbin Feng, Kun Sun

Proceedings of the IEEE Conference on Communications and Network Security, 2021

2020

Android Malware Detection Based on Call Graph via Graph Neural Network.

Pengbin Feng, Jianfeng Ma, Teng Li, Xindi Ma, Ning Xi, Di Lu

Proceedings of the International Conference on Networking and Network Applications, 2020

2019

Lightweight Security Authentication Mechanism Towards UAV Networks.

Teng Li, Jianfeng Ma, Pengbin Feng, Yue Meng, XinDi Ma, Jiawei Zhang, Chenyang Gao, Di Lu

Proceedings of the 2019 International Conference on Networking and Network Applications, 2019

Compositional Information Flow Verification for Inter Application Communications in Android System.

Xue Rao, Ning Xi, Jing Lv, Pengbin Feng

Proceedings of the Machine Learning for Cyber Security - Second International Conference, 2019

CatraDroid: A Call Trace Driven Detection of Malicious Behaiviors in Android Applications.

Cong Sun, Jun Chen, Pengbin Feng, Jianfeng Ma

Proceedings of the Machine Learning for Cyber Security - Second International Conference, 2019

UBER: Combating Sandbox Evasion via User Behavior Emulators.

Pengbin Feng, Jianhua Sun, Songsong Liu, Kun Sun

Proceedings of the Information and Communications Security - 21st International Conference, 2019

2018

A Novel Dynamic Android Malware Detection System With Ensemble Learning.

Pengbin Feng, Jianfeng Ma, Cong Sun, Xinpeng Xu, Yuwan Ma

IEEE Access, 2018

2017

Selecting Critical Data Flows in Android Applications for Abnormal Behavior Detection.

Pengbin Feng, Jianfeng Ma, Cong Sun

Mob. Inf. Syst., 2017

Data-Oriented Instrumentation against Information Leakages of Android Applications.

Cong Sun, Pengbin Feng, Teng Li, Jianfeng Ma

Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

2016

Measuring the risk value of sensitive dataflow path in Android applications.

Pengbin Feng, Cong Sun, Jianfeng Ma

Secur. Commun. Networks, 2016