Ruizhi Xiao

Orcid: 0000-0001-9937-5774

According to our database1, Ruizhi Xiao authored at least 13 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Graph-Based Malicious Domain Name Detection: How to Use the Heuristic Relations.
IEEE Trans. Dependable Secur. Comput., 2026

InterpLog: Interpretable log-based anomaly detection assisting troubleshooting for system reliability.
J. Syst. Softw., 2026

CeeDet: A Class-Incremental Learning Method with Early-Exit Mechanism for Malicious Traffic Detection in IIoT.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025
Cache Periscope: Gain insights into the global epidemic of malicious domains through DNS Cache.
Comput. Networks, 2025

2024
ContexLog: Non-Parsing Log Anomaly Detection With All Information Preservation and Enhanced Contextual Representation.
IEEE Trans. Netw. Serv. Manag., August, 2024

Secure and Real-Time Traceable Data Sharing in Cloud-Assisted IoT.
IEEE Internet Things J., February, 2024

MC-Det: Multi-channel representation fusion for malicious domain name detection.
Comput. Networks, 2024

RCFG2Vec: Considering Long-Distance Dependency for Binary Code Similarity Detection.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2023
AllInfoLog: Robust Diverse Anomalies Detection Based on All Log Features.
IEEE Trans. Netw. Serv. Manag., September, 2023

2022
DIFCS: A Secure Cloud Data Sharing Approach Based on Decentralized Information Flow Control.
Comput. Secur., 2022

MEMTD: Encrypted Malware Traffic Detection Using Multimodal Deep Learning.
Proceedings of the Web Engineering - 22nd International Conference, 2022

2021
Unsupervised Anomaly Detection Based on System Logs.
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

2020
Real-time detection of cloud tenant malicious behavior based on CNN.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020


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