Shanshan Wang

According to our database, Shanshan Wang authored at least 30 papers between 2015 and 2024.

Collaborative distances:

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

2024

KGhish: A Phishing Website Detection Method Based on Knowledge Graph.

Changlin Liu, Shanshan Wang, Zhenxiang Chen, Limei Huang, Yan Li, Hanwen Li

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Encrypted Malicious Traffic Detection Based on Graph Convolutional Network and Temporal Dissection.

Yuchen Liu, Shanshan Wang, Jin Au-Yeung, Zhenxiang Chen

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Safety or Not? A Comparative Study for Deep Learning Apps on Smartphones.

Jin Au-Yeung, Shanshan Wang, Yuchen Liu, Zhenxiang Chen

Proceedings of the 22nd IEEE International Conference on Trust, 2023

Low-Frequency Aware Unsupervised Detection of Dark Jargon Phrases on Social Platforms.

Limei Huang, Shanshan Wang, Changlin Liu, Xueyang Cao, Yadi Han, Shaolei Liu, Zhenxiang Chen

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Exploring Wi-Fi Privacy Disclosure: A Novel Approach to User Identity Prediction Based on Traffic Multi-level Information.

Yiwen Li, Shanshan Wang, Zhenxiang Chen, Xueyang Cao, Yadi Han

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Devils in the Clouds: An Evolutionary Study of Telnet Bot Loaders.

Yuhui Zhu, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Alberto Giaretta, Enlong Li, Lizhi Peng, Chuan Zhao, Mauro Conti

Proceedings of the IEEE International Conference on Communications, 2023

Adversarial Attack with Genetic Algorithm against IoT Malware Detectors.

Peng Yuan, Shanshan Wang, Chuan Zhao, Wenyue Wang, Daokuan Bai, Lizhi Peng, Zhenxiang Chen

Proceedings of the IEEE International Conference on Communications, 2023

Measurement of Illegal Android Gambling App Ecosystem From Joint Promotion Perspective.

Yadi Han, Shanshan Wang, Yiwen Li, Xueyang Cao, Limei Huang, Zhenxiang Chen

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Decentralized Reinforced Anonymous FLchain: a Secure Federated Learning Architecture for the Medical Industry.

Chenghan Wang, Shanshan Wang, Chuan Zhao, Wenyue Wang, Bin Hu, Youmian Wang, Lin Wang, Zhenxiang Chen

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Overcoming Noisy Labels in Federated Learning Through Local Self-Guiding.

Daokuan Bai, Shanshan Wang, Wenyue Wang, Hua Wang, Chuan Zhao, Peng Yuan, Zhenxiang Chen

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

The Secondary Isolated Data Island: Isolated Data Island Caused by Blockchain in Federated Learning.

Chenghan Wang, Shanshan Wang, Chuan Zhao, Xueyang Cao, Shuhao Yan, Yadi Han, Limei Huang, Zhenxiang Chen

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

CSLog: Anomaly Detection for Syslog Based on Contrastive Self-Supervised Representation Learning.

Shuhao Yan, Shanshan Wang, Zhenxiang Chen, Xiaoqing Jiang, Xueyang Cao

Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023

2022

Mining Function Homology of Bot Loaders from Honeypot Logs.

Yuhui Zhu, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Enlong Li, Lizhi Peng, Chuan Zhao

CoRR, 2022

SFMD: A Semi-Supervised Federated Malicious Traffic Detection Approach in IoT.

Wenyue Wang, Shanshan Wang, Daokuan Bai, Chuan Zhao, Lizhi Peng, Zhenxiang Chen

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

Decision-based adversarial attack for speaker recognition models.

Xueyang Cao, Shanshan Wang, Zhenxiang Chen, Xiaoqing Jiang, Weiliang Zheng, Yadi Han

Proceedings of the 6th International Conference on Computer Science and Artificial Intelligence, 2022

2021

Chinese NER Using ALBERT and Multi-word Information.

Hanchen Xu, Zhenxiang Chen, Shanshan Wang, Xiaoqing Jiang

Proceedings of the ACM TURC 2021: ACM Turing Award Celebration Conference - Hefei, China, 30 July 2021, 2021

2020

Deep and broad URL feature mining for android malware detection.

Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lizhi Peng, Bo Yang, Mauro Conti

Inf. Sci., 2020

2019

A mobile malware detection method using behavior features in network traffic.

Shanshan Wang, Zhenxiang Chen, Qiben Yan, Bo Yang, Lizhi Peng, Zhongtian Jia

J. Netw. Comput. Appl., 2019

2018

Detecting Android Malware Leveraging Text Semantics of Network Flows.

Shanshan Wang, Qiben Yan, Zhenxiang Chen, Bo Yang, Chuan Zhao, Mauro Conti

IEEE Trans. Inf. Forensics Secur., 2018

Machine learning based mobile malware detection using highly imbalanced network traffic.

Zhenxiang Chen, Qiben Yan, Hongbo Han, Shanshan Wang, Lizhi Peng, Lin Wang, Bo Yang

Inf. Sci., 2018

Lexical Mining of Malicious URLs for Classifying Android Malware.

Shanshan Wang, Qiben Yan, Zhenxiang Chen, Lin Wang, Riccardo Spolaor, Bo Yang, Mauro Conti

Proceedings of the Security and Privacy in Communication Networks, 2018

Deep and Broad Learning Based Detection of Android Malware via Network Traffic.

Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lin Wang, Bo Yang, Mauro Conti

Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

A Fast and Effective Detection of Mobile Malware Behavior Using Network Traffic.

Anran Liu, Zhenxiang Chen, Shanshan Wang, Lizhi Peng, Chuan Zhao, Yuliang Shi

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

MulAV: Multilevel and Explainable Detection of Android Malware with Data Fusion.

Qun Li, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Kun Ma, Yuliang Shi, Lizhen Cui

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

2017

TextDroid: Semantics-based detection of mobile malware using network flows.

Shanshan Wang, Qiben Yan, Zhenxiang Chen, Bo Yang, Chuan Zhao, Mauro Conti

Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Android Malware Clustering Analysis on Network-Level Behavior.

Shanshan Wang, Zhenxiang Chen, Xiaomei Li, Lin Wang, Ke Ji, Chuan Zhao

Proceedings of the Intelligent Computing Theories and Application, 2017

Finding Android Malware Trace from Highly Imbalanced Network Traffic.

Ying Pang, Zhenxiang Chen, Xiaomei Li, Shanshan Wang, Chuan Zhao, Lin Wang, Ke Ji, Zicong Li

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016

DroidCollector: A High Performance Framework for High Quality Android Traffic Collection.

Dong Cao, Shanshan Wang, Qun Li, Zhenxiang Chen, Qiben Yan, Lizhi Peng, Bo Yang

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

TrafficAV: An effective and explainable detection of mobile malware behavior using network traffic.

Shanshan Wang, Zhenxiang Chen, Lei Zhang, Qiben Yan, Bo Yang, Lizhi Peng, Zhongtian Jia

Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

2015

Android Malware Network Behavior Analysis at HTTP Protocol Packet Level.

Shanshan Wang, Shifeng Hou, Lei Zhang, Zhenxiang Chen, Hongbo Han

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015