We stand with Ukraine

We stand with Ukraine

Xin Su

Orcid: 0000-0002-1860-9004

Affiliations:

Hunan Police Academy, Key Laboratory of Network Investigational Technology / Key Laboratory of Network Crime Investigation, Changsha, China
Hunan University, College of Computer Science and Electronics Engineering, Changsha, China (former)

According to our database¹, Xin Su authored at least 21 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2024

Improvement of Web Semantic and Transformer-Based Knowledge Graph Completion in Low-Dimensional Spaces.

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Int. J. Semantic Web Inf. Syst., 2024

2023

Research on Risk Assessment Model for Social High-Risk Individuals Based on Graph Attention Network.

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Proceedings of the 10th IEEE International Conference on Cyber Security and Cloud Computing, 2023

2022

Memory-augmented meta-learning on meta-path for fast adaptation cold-start recommendation.

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Connect. Sci., 2022

Social Relationship Mining Based on User Telephone Communication Data for Cooperative Relationship Recommendation.

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Proceedings of the IEEE INFOCOM 2022, 2022

2021

Anonymous chaotic-based identity authentication protocol in IoT.

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Int. J. Embed. Syst., 2021

2020

DroidDeep: using Deep Belief Network to characterize and detect android malware.

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Soft Comput., 2020

A robust error control coding-based watermarking algorithm for FPGA IP protection.

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Int. J. Embed. Syst., 2020

An Informative and Comprehensive Behavioral Characteristics Analysis Methodology of Android Application for Data Security in Brain-Machine Interfacing.

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Comput. Math. Methods Medicine, 2020

2019

A network traffic-aware mobile application recommendation system based on network traffic cost consideration.

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Int. J. Comput. Sci. Eng., 2019

2018

Mass Discovery of Android Malware Behavioral Characteristics for Detection Consideration.

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Proceedings of the Cloud Computing and Security - 4th International Conference, 2018

2017

Mlifdect: Android Malware Detection Based on Parallel Machine Learning and Information Fusion.

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Secur. Commun. Networks, 2017

De-cloaking Malicious Activities in Smartphones Using HTTP Flow Mining.

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KSII Trans. Internet Inf. Syst., 2017

PPNC: Privacy Preserving Scheme for Random Linear Network Coding in Smart Grid.

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KSII Trans. Internet Inf. Syst., 2017

Effective and scalable repackaged application detection based on user interface.

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

An Android App Recommendation Approach by Merging Network Traffic Cost.

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Proceedings of the Cloud Computing and Security - Third International Conference, 2017

2016

Mobile traffic identification based on application's network signature.

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Int. J. Embed. Syst., 2016

A Deep Learning Approach to Android Malware Feature Learning and Detection.

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

2015

Detect repackaged Android application based on HTTP traffic similarity.

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Secur. Commun. Networks, 2015

AndroGenerator: An automated and configurable android app network traffic generation system.

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Secur. Commun. Networks, 2015

Fest: A feature extraction and selection tool for Android malware detection.

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Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

Android app recommendation approach based on network traffic measurement and analysis.

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Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015

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