Shanshan Wang - RankMe

32 papers B 7C 2Journal 7Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FGFR-Net: An Improved Residual Network Encrypted Traffic Classification Model Based on Byte-Level Traffic Graphs. J. Netw. Syst. Manag. Yi Zhang, Shanshan Wang, Zhenxiang Chen, Bo Yang
2024	C	`conf`	Encrypted Malicious Traffic Detection Based on Graph Convolutional Network and Temporal Dissection. CSCWD Yuchen Liu, Shanshan Wang, Jin Au-Yeung, Zhenxiang Chen
2024	—	`conf`	KGhish: A Phishing Website Detection Method Based on Knowledge Graph. ICIC (13) Changlin Liu, Shanshan Wang, Zhenxiang Chen, Limei Huang, Yan Li, Hanwen Li
2023	—	`conf`	Adversarial Attack with Genetic Algorithm against IoT Malware Detectors. ICC Peng Yuan, Shanshan Wang, Chuan Zhao, Wenyue Wang, Daokuan Bai, Lizhi Peng, Zhenxiang Chen
2023	C	`conf`	CSLog: Anomaly Detection for Syslog Based on Contrastive Self-Supervised Representation Learning. APNOMS Shuhao Yan, Shanshan Wang, Zhenxiang Chen, Xiaoqing Jiang, Xueyang Cao
2023	B	`conf`	Decentralized Reinforced Anonymous FLchain: a Secure Federated Learning Architecture for the Medical Industry. COMPSAC Chenghan Wang, Shanshan Wang, Chuan Zhao, Wenyue Wang, Bin Hu, Youmian Wang, Lin Wang, Zhenxiang Chen
2023	—	`conf`	Devils in the Clouds: An Evolutionary Study of Telnet Bot Loaders. ICC Yuhui Zhu, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Alberto Giaretta, Enlong Li, Lizhi Peng, Chuan Zhao, Mauro Conti
2023	B	`conf`	Exploring Wi-Fi Privacy Disclosure: A Novel Approach to User Identity Prediction Based on Traffic Multi-level Information. ICPADS Yiwen Li, Shanshan Wang, Zhenxiang Chen, Xueyang Cao, Yadi Han
2023	—	`conf`	Low-Frequency Aware Unsupervised Detection of Dark Jargon Phrases on Social Platforms. PRICAI (2) Limei Huang, Shanshan Wang, Changlin Liu, Xueyang Cao, Yadi Han, Shaolei Liu, Zhenxiang Chen
2023	B	`conf`	Measurement of Illegal Android Gambling App Ecosystem From Joint Promotion Perspective. DSAA Yadi Han, Shanshan Wang, Yiwen Li, Xueyang Cao, Limei Huang, Zhenxiang Chen
2023	B	`conf`	Overcoming Noisy Labels in Federated Learning Through Local Self-Guiding. CCGrid Daokuan Bai, Shanshan Wang, Wenyue Wang, Hua Wang, Chuan Zhao, Peng Yuan, Zhenxiang Chen
2023	B	`conf`	Safety or Not? A Comparative Study for Deep Learning Apps on Smartphones. TrustCom Jin Au-Yeung, Shanshan Wang, Yuchen Liu, Zhenxiang Chen
2023	—	`conf`	The Secondary Isolated Data Island: Isolated Data Island Caused by Blockchain in Federated Learning. BIBM Chenghan Wang, Shanshan Wang, Chuan Zhao, Xueyang Cao, Shuhao Yan, Yadi Han, Limei Huang, Zhenxiang Chen
2022	—	`conf`	Decision-based adversarial attack for speaker recognition models. CSAI Xueyang Cao, Shanshan Wang, Zhenxiang Chen, Xiaoqing Jiang, Weiliang Zheng, Yadi Han
2022	J	`jnl`	Devils in the Clouds: An Evolutionary Study of Telnet Bot Loaders. CoRR Yuhui Zhu, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Alberto Giaretta, Enlong Li, Lizhi Peng, Chuan Zhao, Mauro Conti
2022	J	`jnl`	Mining Function Homology of Bot Loaders from Honeypot Logs. CoRR Yuhui Zhu, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Enlong Li, Lizhi Peng, Chuan Zhao
2022	—	`conf`	SFMD: A Semi-Supervised Federated Malicious Traffic Detection Approach in IoT. ISPA/BDCloud/SocialCom/SustainCom Wenyue Wang, Shanshan Wang, Daokuan Bai, Chuan Zhao, Lizhi Peng, Zhenxiang Chen
2021	—	`conf`	Chinese NER Using ALBERT and Multi-word Information. ACM TUR-C Hanchen Xu, Zhenxiang Chen, Shanshan Wang, Xiaoqing Jiang
2020	J	`jnl`	Deep and broad URL feature mining for android malware detection. Inf. Sci. Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lizhi Peng, Bo Yang, Mauro Conti
2019	J	`jnl`	A mobile malware detection method using behavior features in network traffic. J. Netw. Comput. Appl. Shanshan Wang, Zhenxiang Chen, Qiben Yan, Bo Yang, Lizhi Peng, Zhongtian Jia
2018	—	`conf`	A Fast and Effective Detection of Mobile Malware Behavior Using Network Traffic. ICA3PP (4) Anran Liu, Zhenxiang Chen, Shanshan Wang, Lizhi Peng, Chuan Zhao, Yuliang Shi
2018	B	`conf`	Deep and Broad Learning Based Detection of Android Malware via Network Traffic. IWQoS Shanshan Wang, Zhenxiang Chen, Qiben Yan, Ke Ji, Lin Wang, Bo Yang, Mauro Conti
2018	J	`jnl`	Detecting Android Malware Leveraging Text Semantics of Network Flows. IEEE Trans. Inf. Forensics Secur. Shanshan Wang, Qiben Yan, Zhenxiang Chen, Bo Yang, Chuan Zhao, Mauro Conti
2018	—	`conf`	Lexical Mining of Malicious URLs for Classifying Android Malware. SecureComm (1) Shanshan Wang, Qiben Yan, Zhenxiang Chen, Lin Wang, Riccardo Spolaor, Bo Yang, Mauro Conti
2018	J	`jnl`	Machine learning based mobile malware detection using highly imbalanced network traffic. Inf. Sci. Zhenxiang Chen, Qiben Yan, Hongbo Han, Shanshan Wang, Lizhi Peng, Lin Wang, Bo Yang
2018	—	`conf`	MulAV: Multilevel and Explainable Detection of Android Malware with Data Fusion. ICA3PP (4) Qun Li, Zhenxiang Chen, Qiben Yan, Shanshan Wang, Kun Ma, Yuliang Shi, Lizhen Cui
2017	—	`conf`	Android Malware Clustering Analysis on Network-Level Behavior. ICIC (1) Shanshan Wang, Zhenxiang Chen, Xiaomei Li, Lin Wang, Ke Ji, Chuan Zhao
2017	—	`conf`	Finding Android Malware Trace from Highly Imbalanced Network Traffic. CSE/EUC (1) Ying Pang, Zhenxiang Chen, Xiaomei Li, Shanshan Wang, Chuan Zhao, Lin Wang, Ke Ji, Zicong Li
2017	—	`conf`	TextDroid: Semantics-based detection of mobile malware using network flows. INFOCOM Workshops Shanshan Wang, Qiben Yan, Zhenxiang Chen, Bo Yang, Chuan Zhao, Mauro Conti
2016	—	`conf`	DroidCollector: A High Performance Framework for High Quality Android Traffic Collection. Trustcom/BigDataSE/ISPA Dong Cao, Shanshan Wang, Qun Li, Zhenxiang Chen, Qiben Yan, Lizhi Peng, Bo Yang
2016	B	`conf`	TrafficAV: An effective and explainable detection of mobile malware behavior using network traffic. IWQoS Shanshan Wang, Zhenxiang Chen, Lei Zhang, Qiben Yan, Bo Yang, Lizhi Peng, Zhongtian Jia
2015	—	`conf`	Android Malware Network Behavior Analysis at HTTP Protocol Packet Level. ICA3PP (Workshops and Symposiums) Shanshan Wang, Shifeng Hou, Lei Zhang, Zhenxiang Chen, Hongbo Han