Bin Zhang

Orcid: 0009-0005-5012-7151

Affiliations:
  • Peng Cheng Laboratory, Cyberspace Security Research Center, Shenzhen, China


According to our database1, Bin Zhang authored at least 34 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
A comprehensive analysis of website fingerprinting defenses on Tor.
Comput. Secur., January, 2024

FRADE: Forgery-aware Audio-distilled Multimodal Learning for Deepfake Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CapsuleFormer: A Capsule and Transformer combined model for Decentralized Application encrypted traffic classification.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023
Tracking phishing on Ethereum: Transaction network embedding approach for accounts representation learning.
Comput. Secur., December, 2023

TCGNN: Packet-grained network traffic classification via Graph Neural Networks.
Eng. Appl. Artif. Intell., 2023

Phish2vec: A Temporal and Heterogeneous Network Embedding Approach for Detecting Phishing Scams on Ethereum.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Gleaning the Consensus for Linearizable and Conflict-Free Per-Replica Local Reads.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

AAP: Defending Against Website Fingerprinting Through Burst Obfuscation.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

ReviewLocator: Enhance User Review-Based Bug Localization with Bug Reports.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
A Consortium Blockchain-Based Access Control Framework With Dynamic Orderer Node Selection for 5G-Enabled Industrial IoT.
IEEE Trans. Ind. Informatics, 2022

A co-occurrence matrix based masquerade detection method in in-vehicle network.
Trans. Emerg. Telecommun. Technol., 2022

A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process.
CoRR, 2022

Graph Data Augmentation for Node Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Neural Architecture Searching for Facial Attributes-based Depression Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
CL-ADMM: A Cooperative-Learning-Based Optimization Framework for Resource Management in MEC.
IEEE Internet Things J., 2021

ALBFL: A novel neural ranking model for software fault localization via combining static and dynamic features.
Inf. Softw. Technol., 2021

SAMLDroid: A Static Taint Analysis and Machine Learning Combined High-Accuracy Method for Identifying Android Apps with Location Privacy Leakage Risks.
Entropy, 2021

Phishing websites detection via CNN and multi-head self-attention on imbalanced datasets.
Comput. Secur., 2021

Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

A Novel and High-Accuracy Rumor Detection Approach using Kernel Subtree and Deep Learning Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Short and Distort Manipulations in the Cryptocurrency Market: Case Study, Patterns and Detection.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020
OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks.
IEEE Trans. Commun., 2020

An IoT Honeynet Based on Multiport Honeypots for Capturing IoT Attacks.
IEEE Internet Things J., 2020

Ransomware classification using patch-based CNN and self-attention network on embedded N-grams of opcodes.
Future Gener. Comput. Syst., 2020

A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective.
CoRR, 2020

ALBFL: A Novel Neural Ranking Model for Software Fault Localization via Combining Static and Dynamic Features.
Proceedings of the 19th IEEE International Conference on Trust, 2020

SpeedNeuzz: Speed Up Neural Program Approximation with Neighbor Edge Knowledge.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Malware Classification Method Based on Word Vector of Bytes and Multilayer Perception.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Self-Paced Probabilistic Principal Component Analysis For Data With Outliers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Maintaining Discrimination and Fairness in Class Incremental Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Self-Paced Probabilistic Principal Component Analysis for Data with Outliers.
CoRR, 2019

Algorithm of web page similarity comparison based on visual block.
Comput. Sci. Inf. Syst., 2019

Negotiation Game Model for Big Data Transactions.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019


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