Dan Tang

Orcid: 0000-0002-0062-0213

Affiliations:
  • Hunan University, Changsha, China


According to our database1, Dan Tang authored at least 51 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Low-Rate Flow Table Overflow Attacks in SDN: Model, Analysis and a Machine Learning Based Mitigation Approach.
IEEE Trans. Computers, June, 2026

DNSGreen: A Comprehensive Defense System Against Bounce-Style DNS DDoS Attacks With P4.
IEEE Trans. Computers, January, 2026

MWD-CFM: Detection and Mitigation of DDoS Attack Against SDN Flow Tables.
IEEE Trans. Netw., 2026

DOE-DTL: A ML-Utilized System Combined With PDP for Detection and Mitigation of DLDoS Attack.
IEEE Trans. Netw., 2026

REAPER: Real-Time Detection of Malicious Traffic via Deep Time-Series Embedding Analysis.
IEEE Trans. Netw., 2026

Detecting Congestion-Related Attacks via Fine-Grained Queue Diagnosis.
IEEE Trans. Cogn. Commun. Netw., 2026

2025
MARS: Defending TCP Protocol Abuses in Programmable Data Plane.
IEEE Trans. Netw. Serv. Manag., October, 2025

A Low-Rate DoS Attack Mitigation Scheme Based on Port and Traffic State in SDN.
IEEE Trans. Computers, May, 2025

When SDN Meets Low-rate Threats: A Survey of Attacks and Countermeasures in Programmable Networks.
ACM Comput. Surv., April, 2025

PLUTO: A Robust LDoS Attack Defense System Executing at Line Speed.
IEEE Trans. Dependable Secur. Comput., 2025

Low-rate flow table overflow attack defense system based on two-level threshold in software-defined networks.
Expert Syst. Appl., 2025

2024
FAPM: A Fake Amplification Phenomenon Monitor to Filter DRDoS Attacks With P4 Data Plane.
IEEE Trans. Netw. Serv. Manag., December, 2024

FTODefender: An efficient flow table overflow attacks defending system in SDN.
Expert Syst. Appl., March, 2024

An optimized resource scheduling algorithm based on GA and ACO algorithm in fog computing.
J. Supercomput., February, 2024

FTOP: An Efficient Flow Table Overflow Preventing System for Switches in SDN.
IEEE Trans. Netw. Sci. Eng., 2024

An LDoS attack detection method based on FSWT time-frequency distribution.
Expert Syst. Appl., 2024

ERT-EDR: Online defense framework for TCP-targeted LDoS attacks in SDN.
Expert Syst. Appl., 2024

EXCLF: A LDoS attack detection & mitigation model based on programmable data plane.
Comput. Networks, 2024

2023
FTMaster: A Detection and Mitigation System of Low-Rate Flow Table Overflow Attacks via SDN.
IEEE Trans. Netw. Serv. Manag., December, 2023

Real-Time Monitoring and Mitigation of SDoS Attacks Using the SDN and New Metrics.
IEEE Trans. Cogn. Commun. Netw., December, 2023

PeakSAX: Real-Time Monitoring and Mitigation System for LDoS Attack in SDN.
IEEE Trans. Netw. Serv. Manag., September, 2023

SFTO-Guard: Real-time detection and mitigation system for slow-rate flow table overflow attacks.
J. Netw. Comput. Appl., April, 2023

GASF-IPP: Detection and Mitigation of LDoS Attack in SDN.
IEEE Trans. Serv. Comput., 2023

A Detection and Mitigation Scheme of LDoS Attacks via SDN Based on the FSS-RSR Algorithm.
IEEE Trans. Netw. Sci. Eng., 2023

LtRFT: Mitigate the Low-Rate Data Plane DDoS Attack With Learning-To-Rank Enabled Flow Tables.
IEEE Trans. Inf. Forensics Secur., 2023

AKN-FGD: Adaptive Kohonen Network Based Fine-Grained Detection of LDoS Attacks.
IEEE Trans. Dependable Secur. Comput., 2023

2022
Real-Time Detection and Mitigation of LDoS Attacks in the SDN Using the HGB-FP Algorithm.
IEEE Trans. Serv. Comput., 2022

Performance and Features: Mitigating the Low-Rate TCP-Targeted DoS Attack via SDN.
IEEE J. Sel. Areas Commun., 2022

A new detection method for LDoS attacks based on data mining.
Future Gener. Comput. Syst., 2022

An approach for detecting LDoS attack based on cloud model.
Frontiers Comput. Sci., 2022

ADMS: An online attack detection and mitigation system for LDoS attacks via SDN.
Comput. Commun., 2022

A novel LDoS attack detection method based on reconstruction anomaly.
Clust. Comput., 2022

2021
FR-RED: Fractal Residual Based Real-Time Detection of the LDoS Attack.
IEEE Trans. Reliab., 2021

MF-CNN: a New Approach for LDoS Attack Detection Based on Multi-feature Fusion and CNN.
Mob. Networks Appl., 2021

The detection of low-rate DoS attacks using the SADBSCAN algorithm.
Inf. Sci., 2021

LDoS Attack Detection Based on ASNNC-OFA Algorithm.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

TS-SVM: Detect LDoS Attack in SDN Based on Two-step Self-adjusting SVM.
Proceedings of the 20th IEEE International Conference on Trust, 2021

Work in Progress: Network Attack Detection Towards Smart Factory.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

BA-BNN: Detect LDoS Attacks in SDN Based on Bat Algorithm and BP Neural Network.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

LDoS Attack Detection using PSO and K-means Algorithm.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020
Low-Rate DoS Attacks Detection Based on MAF-ADM.
Sensors, 2020

An improved VLC mapping method with parameter optimization for reversible data hiding in JPEG bitstream.
Multim. Tools Appl., 2020

Low-rate DoS attack detection based on two-step cluster analysis and UTR analysis.
Hum. centric Comput. Inf. Sci., 2020

MF-Adaboost: LDoS attack detection based on multi-features and improved Adaboost.
Future Gener. Comput. Syst., 2020

WEDMS: An advanced mean shift clustering algorithm for LDoS attacks detection.
Ad Hoc Networks, 2020

Low-rate DoS Attack Detection Based on WPD-EE Algorithm.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

An Efficient Detection Approach for LDoS Attack based on NCS-SVM Algorithm.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019
PCA-SVM-Based Approach of Detecting Low-Rate DoS Attack.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Low-Rate DoS Attack Detection Based on Improved Logistic Regression.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018
A Low-Rate DoS Attack Detection Method Based on Hilbert Spectrum and Correlation.
Proceedings of the 2018 IEEE SmartWorld, 2018

Low-Rate DoS Attack Detection Based on Two-Step Cluster Analysis.
Proceedings of the Information and Communications Security - 20th International Conference, 2018


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