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Akademický článek

MVD-HG: multigranularity smart contract vulnerability detection method based on heterogeneous graphs

Autor: Jingjie Xu, Ting Wang, Mingqi Lv, Tieming Chen, Tiantian Zhu, Baiyang Ji

Publikováno v: Cybersecurity, Vol 7, Iss 1, Pp 1-15 (2024)

Abstract Smart contracts have significant losses due to various types of vulnerabilities. However, traditional vulnerability detection methods rely extensively on expert rules, resulting in low detection accuracy and poor adaptability to novel attack

Externí odkaz: https://doaj.org/article/b5efcd0eeddb4fe09c9afbf409f90ea0

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Akademický článek

Elucidating genetic and molecular basis of altered higher-order brain structure-function coupling in major depressive disorder

Autor: Haixia Long, Zihao Chen, Xinli Xu, Qianwei Zhou, Zhaolin Fang, Mingqi Lv, Xu-Hua Yang, Jie Xiao, Hui Sun, Ming Fan

Publikováno v: NeuroImage, Vol 297, Iss , Pp 120722- (2024)

Previous studies have shown that major depressive disorder (MDD) patients exhibit structural and functional impairments, but few studies have investigated changes in higher-order coupling between structure and function. Here, we systematically invest

Externí odkaz: https://doaj.org/article/1e623043cf10482eb55934c23f427835

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Akademický článek

An LSTM auto-encoder based anomaly detection for industrial system

Autor: Xiaojun SHEN, Yanan GE, Zhihao SHEN, Yangdan NI, Mingqi LV, Zhengqiu WENG

Publikováno v: Dianxin kexue, Vol 36, Pp 136-145 (2020)

In the context of the industrial internet,automatic and effective anomaly detection methods are of great significance to the safe and stable production of industrial systems.Traditional anomaly detection methods have the disadvantages of requiring a

Externí odkaz: https://doaj.org/article/9d707307b00b4fda8033a7925e075566

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Akademický článek

Language Inclusion Checking of Timed Automata Based on Property Patterns

Autor: Ting Wang, Yan Shen, Tieming Chen, Baiyang Ji, Tiantian Zhu, Mingqi Lv

Publikováno v: Applied Sciences, Vol 12, Iss 24, p 12946 (2022)

The language inclusion checking of timed automata is described as the following: given two timed automata M and N, where M is a system model and N is a specification model (which represents the properties that the system needs to satisfy), check whet

Externí odkaz: https://doaj.org/article/f970b381febb45bd8e30ad0b7f3fc867

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Akademický článek

Android malware detection method based on byte-code image and deep learning

Autor: Tieming CHEN, Binbin XIANG, Mingqi LV, Bo CHEN, Xie JIANG

Publikováno v: Dianxin kexue, Vol 35, Pp 9-17 (2019)

A new Android malware detection method based on byte-code image and deep learning was proposed. Firstly, Android malware byte-code files were mapped to RGB colorful images which had three channels. Also, the Shannon entropy as Alpha channel of images

Externí odkaz: https://doaj.org/article/23ffcb1984c44461b1135a33776ba902

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Akademický článek

A Payload Based Malicious HTTP Traffic Detection Method Using Transfer Semi-Supervised Learning

Autor: Tieming Chen, Yunpeng Chen, Mingqi Lv, Gongxun He, Tiantian Zhu, Ting Wang, Zhengqiu Weng

Publikováno v: Applied Sciences, Vol 11, Iss 16, p 7188 (2021)

Malicious HTTP traffic detection plays an important role in web application security. Most existing work applies machine learning and deep learning techniques to build the malicious HTTP traffic detection model. However, they still suffer from the pr

Externí odkaz: https://doaj.org/article/56c24930f8764524b2a3aa5ec0be9947

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TRAPCOG: An Anti-Noise, Transferable, and Privacy-Preserving Real-Time Mobile User Authentication System With High Accuracy

Autor: Jie Ying, Tiantian Zhu, Qiang Liu, Chunlin Xiong, Zhengqiu Weng, Tieming Chen, Lei Fu, Mingqi Lv, Han Wu, Ting Wang, Yan Chen

Publikováno v: IEEE Transactions on Mobile Computing. :1-18

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5d52d6b9b3955ec8b3500fb4af55cb17
https://doi.org/10.1109/tmc.2023.3265071

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AARGNN: An Attentive Attributed Recurrent Graph Neural Network for Traffic Flow Prediction Considering Multiple Dynamic Factors

Autor: Ling Chen, Wei Shao, Mingqi Lv, Weiqi Chen, Youdong Zhang, Chenghu Yang

Publikováno v: IEEE Transactions on Intelligent Transportation Systems. 23:17201-17211

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d6ebea096ccfade32b7c71e900123e8a
https://doi.org/10.1109/tits.2022.3171451

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Private Cell-ID Trajectory Prediction Using Multi-Graph Embedding and Encoder-Decoder Network

Autor: Dajian Zeng, Ling Chen, Shouling Ji, Tiantian Zhu, Tieming Chen, Mingqi Lv

Publikováno v: IEEE Transactions on Mobile Computing. 21:2967-2977

Trajectory prediction for mobile phone users is a cornerstone component to support many higher-level applications in LBSs (Location-Based Services). Most existing methods are designed based on the assumption that the explicit location information of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2996f7dcde7f1b7ef5bae053a6679c97
https://doi.org/10.1109/tmc.2020.3047735

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