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2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023

作者： Wang, Jing-Hong Li, Chang-Xin Yang, Jia-Teng College of Computer and Cyber Security Hebei Normal University Shijiazhuang050024 China Hebei Normal University Hebei Key Laboratory of Network and Information Security Shijiazhuang050024 China Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics & Security Hebei Normal University Shijiazhuang050024 China Hebei Polytechnic Institute Shijiazhuang050020 China

ISBN: (纸本)9798350303780

Graph Attention network (GAT) is a popular method for graph embedding as they effectively leverage attention mechanisms to aggregate first-order neighborhood node information. However, they have limitations in their ability to consider high-order neighborhood nodes and structural information. Directly incorporating high-order neighborhood node information into traditional GAT may result in over-smoothing. To address this challenge, in this paper, we propose a joint attention graph embedding model based on similar networks and structural correlation. secondly, we introduce the concept of structural correlation to the original graph attentional method, and consider not only node content feature but also joint node topological structure feature when calculating the attention score. Finally, the graph attention mechanism module performs feature extraction to generate embedding representations of the nodes. The proposed algorithm achieved an accuracy of 85.7%, 74.30%, and 84.10% on the Cora, Citeseer, and Pubmed datasets respectively in node classification tasks. This represents an improvement of 2.70%, 3.94%, and 2.60% respectively compared to the traditional graph attention model. It can be seen that the proposed method can obtain a better representation of node embedding. © 2023 IEEE.

关键词： Classification (of information)

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Privacy-Preserving Blockchain Supervision with Responsibility Tracking 19th

Privacy-Preserving Blockchain Supervision with Responsibili...

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19th EAI International Conference on Collaborative Computing: networking, Applications and Worksharing, CollaborateCom 2023

作者： Wen, Baodong Wang, Yujue Ding, Yong Zheng, Haibin Liang, Hai Yang, Changsong Liu, Jinyuan Guangxi Key Laboratory of Cryptography and Information Security School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China Hangzhou Innovation Institute of Beihang University Hangzhou China Institute of Cyberspace Technology HKCT Institute for Higher Education Hong Kong WeBank Institute of Financial Technology Shenzhen University Shenzhen China

ISBN: (纸本)9783031545207

Blockchain technology is a strategic technology to support the development of digital economy, which helps to promote data sharing, improve the efficiency of communication and build a trusted system. With the continuous development of blockchain technology, security problems caused by lack of regulation are also frequent. Also, the supervision process needs to check the data information on the blockchain, which may lead to the disclosure of users’ privacy information. To solve the above problems, this paper proposes a privacy protection blockchain supervision scheme (PBS) that supports ciphertext supervision and malicious user tracking. The PBS supports the supervision of ciphertext data on the blockchain, meaning that regulators do not need to decrypt it and can perform supervision without plaintext. This ensures that the private data of users on the blockchain would not be compromised in the process of supervision. Moreover, the scheme supports the tracking of the sender of the offending information. Theoretical analysis and comparison show that the proposed PBS can effectively ensure the privacy of user data on blockchain, and experimental analysis demonstrates the practicability of the scheme. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Blockchain

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On-chain is not enough:Ensuring pre-data on the chain credibility for blockchain-based source-tracing systems

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Digital Communications and networks 2023年第5期9卷 1053-1060页

作者： Yilei Wang Zhaojie Wang Guoyu Yang Shan Ai Xiaoyu Xiang Chang Chen Minghao Zhao School of Computer Science Qufu Normal UniversityRizhao276826China Guangxi Key Laboratory of Cryptography and Information Security Guilin University of Electronic TechnologyGuilin541004China Institute of Artificial Intelligence and Blockchain Guangzhou UniversityGuangzhou510006China School of Software Tsinghua UniversityTsinghua UniversityBeijing100191China

The blockchain provides a reliable and scalable method for enabling source-tracing functionality in large-scale Internet of Things(IoT)*** blockchain-based source tracing applications are generally based on the hypothesis that the raw data collected by each IoT node are credible and consistent,which however may not always be the *** no mechanism ensures the reliability of the original data collected from the IoT devices,these data may be accidently screwed up or maliciously tampered with before they are uploaded *** address this issue,we propose the Multi-dimensional Certificates of Origin(MCO)method to filter out the potentially incredible data-till all the data uploaded to the chain are *** achieve this,we devise the Multidimensional information Cross-Verification(MICV)and Multi-source Data Matching Calculation(MDMC)*** verifies whether a to-be-uploaded datum is consistent or credible,and MDMC determines which data should be discarded and which data should be kept to retain the most likely credible/untampered ones in the circumstance when data inconsistency ***-scale experiments show that our scheme ensures on the credibility of data and off the chain with an affordable overhead.

关键词： Blockchain Traceability Blockchain security

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A Web Attack Detection Method Based on DistilBERT and Feature Fusion for Power Micro-Application Server 2

A Web Attack Detection Method Based on DistilBERT and Featur...

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2nd International Conference on Advanced Electronics, Electrical and Green Energy, AEEGE 2023

作者： Nige, Li Lu, Chen Lei, Zhao Zhenning, Teng Zhiqiang, Wang Yiyang, Shao Xiaolin, Gui State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co.Ltd. Nanjing China Xi'an Jiaotong University Faculty of Electronic and Information Engineering Shaanxi Province Key Laboratory of Computer Network Xi'an China

ISBN: (纸本)9798350322866

The widespread use of power micro-applications has significantly expanded the attack surface of their server side, thus increasing the risk of vulnerability attacks such as SQL injection, XSS, and CRLF injection. To ensure the security of power systems, these attacks must be detected precisely and timely. Therefore, this paper proposes a server-side web attack detection method based on DistilBERT and feature fusion for HTTP and HTTPS requests. The method treats HTTP and HTTPS requests as text data, specifically, extracts deep semantic features using DistilBERT, and fuses them with well-designed empirical features to comprehensively characterize and classify the request. Consequently, anomalous requests can be detected. The experimental results show that the accuracy, precision, recall, and F1 score of the method on HTTP CSIC 2010 and FWAF datasets are close to or higher than 99%. Compared with other methods as far as we known, this method has better performance and efficiency. © 2023 IEEE.

关键词： Cybersecurity

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Enabling Efficient Spatio-Temporal Range Query over Encrypted Databases

Enabling Efficient Spatio-Temporal Range Query over Encrypte...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhu, Dan Wang, Xiangyu Huang, Cheng Han, Peilin Hu, Wei Ma, Jianfeng Research & Development Institute Northwestern Polytechnical University Shenzhen China Northwestern Polytechnical University School of Cybersecurity China Xidian University Shaanxi Key Laboratory of Network and System Security China Fudan University School of Computer Science China

ISBN: (纸本)9798350351255

Spatio-temporal query services have been playing an increasingly important role in people's daily lives. While outsourcing such services to third parties (e.g., cloud servers) offers considerable benefits, it raises data privacy issues. However, no existing work can fully support secure and efficient spatio-temporal queries in outsourcing environments. In this paper, we investigate the problem of Spatio-Temporal Range queries over Encrypted databases (STRE). Firstly, we design a new index structure, called Hilbert Hierarchical Prefix Bloom tree (H2PB-tree), which reduces the search complexity of spatio-temporal range query to sublinear. Then, we build an efficient STRE construction called E-STRE in the single-cloud model based on H2PB-tree and symmetric hidden-vector encryption. Moreover, we perform sufficient security analysis and experimental test, and the results show E-STRE outperforms prior arts in terms of performance while guaranteeing data security. Compared with the prior arts presented under the single-cloud model, our construction reduces the query delay by at least 18×. © 2024 IEEE.

关键词： Structured Query Language

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A decouple-decomposition noise analysis model for closed-loop mode-localized tilt sensors

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Microsystems & Nanoengineering 2023年第6期9卷 297-307页

作者： Kunfeng Wang XingYin Xiong Zheng Wang Liangbo Ma BoWen Wang WuHao Yang Xiaorui Bie ZhiTian Li XuDong Zou The State Key Laboratory of Transducer Technology Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina School of Electronic Electrical and Communication EngineeringUniversity of Chinese Academy of SciencesBeijingChina Ming Hsieh Department of Electrical and Computer Engineering University of Southern CaliforniaLos AngelesCAUSA Shangdong Key Laboratory of Low-altitude Airspace Surveillance Network Technology QiLu Aerospace Information Research InstituteJinanChina

The development of mode-localized sensors based on amplitude output metrics has attracted increasing attention in recent years due to the potential of such sensors for high sensitivity and ***-localization phenomena leverage the interaction between multiple coupled resonant modes to achieve enhanced performance,providing a promising solution to overcome the limitations of traditional sensing *** noise plays a key role in determining the resolution of mode-localized sensors,as the output metric is derived from the measured AR(amplitude ratio)within the weakly coupled resonator ***,the amplitude noise originating from the weakly coupled resonator's closed-loop circuit has not yet been fully *** paper presents a decouple-decomposition(DD)noise analysis model,which is applied to achieve high resolution in a mode-localized tilt sensor based on a weakly coupled resonator closed-loop *** DD noise model separates the weakly coupled resonators using the decoupling method considering the nonlinearity of the *** integrating the decoupled weakly coupled resonators,the model decomposes the weakly coupled resonator's closed-loop circuit into distinct paths for amplitude and phase noise *** DD noise model reveals noise effects at various circuit nodes and models the system noise in the closed-loop circuit of the weakly coupled ***/Simulink simulations verify the model's accuracy when compared to theoretical *** the optimal operating point,the mode-localized tilt sensor achieves an input-referred instability of 3.91×10^(-4°)and an input-referred AR of PSD of 2.01×10^(-4°)⁄√Hz using the closed-loop noise *** model is also applicable to other varieties of mode-localized sensors.

关键词： weakly couple overcome

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Regulation of the intermittent release of giant unilamellar vesicles under osmotic pressure

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Chinese Physics B 2022年第9期31卷 644-651页

作者： Qi Zhou Ping Wang Bei-Bei Ma Zhong-Ying Jiang Tao Zhu Key Laboratory of Micro-Nano Electronic Sensing Technology and Bionic Devices Yili Normal UniversityYining 835000China School of Network Security and Information Technology Yili Normal UniversityYining 835000China National Laboratory of Solid State Microstructures Department of PhysicsNanjing UniversityNanjing 210093China

Osmotic pressure can break the fluid balance between intracellular and extracellular *** hypo-osmotic so-lution,water molecules,which transfer into the cell and burst,are driven by the concentration difference of solute across the semi-permeable *** complicated dynamic processes of intermittent bursts have been previously ***,the underlying physical mechanism has yet to be thoroughly explored and ***,the intermittent re-lease of inclusion in giant unilamellar vesicles was investigated quantitatively,applying the combination of experimental and theoretical methods in the hypo-osmotic ***,we adopted a highly sensitive electron multiplying charge-coupled device to acquire intermittent dynamic ***,the component of the vesicle phospholipids af-fected the stretch velocity,and the prepared solution of vesicles adjusted the release ***,we chose equations and numerical simulations to quantify the dynamic process in phases and explored the influences of physical parameters such as bilayer permeability and solution viscosity on the *** was concluded that the time taken to achieve the balance of giant unilamellar vesicles was highly dependent on the molecular structure of the *** pore lifetime was strongly related to the internal solution environment of giant unilamellar *** vesicles prepared in viscous solution were able to visualize long-lived ***,the line tension was measured quantitatively by the release velocity of inclusion,which was of the same order of magnitude as the theoretical *** all,the experimental values well matched the theoretical *** investigation clarified the physical regulatory mechanism of intermittent pore forma-tion and inclusion release,which provides an important reference for the development of novel technologies such as gene therapy based on transmembrane transport as well as controlled drug delivery based on lipo

关键词： osmotic pressure difference membrane tension pore line tension

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Rail Transit Event Extraction based on the Fusion of Semantic and Local Dependency Features 15

Rail Transit Event Extraction based on the Fusion of Semanti...

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15th IEEE International Conference on Knowledge Graph, ICKG 2024

作者： Chen, Qiang Meng, Haining Bao, Yihao Yang, Mingsong Tong, Xinyu Zhao, Qin Khan, Muhammad Bilal Hei, Xinhong Xi'an University of Technology School of Computer Science and Engineering Xi'an China Xi'an University of Technology School of Computer Science and Engineering Shaanxi Key Laboratory of Network Computing and Security Technology Xi'an China Xi'an University of Technology School of Civil Engineering and Architecture Xi'an China

ISBN: (纸本)9798331508821

Event extraction in rail transit plays a vital role in all stages of design, construction, and final acceptance. Event extraction is a key part of building event logic graph (ELG). However, the difficulty in obtaining semantic features and event local dependencies poses a challenge to accurate event extraction, which hinders the informatization and intelligent development of rail transit projects. To address these challenges, we proposes an event extraction method that fuses semantic and local dependency features. The study initially preprocesses the rail transit design codes dataset and performs sequence labeling. Then, the event trigger words are mined by combining the term frequency-inverse document frequency (TF-IDF) and minimum edit distance (MED) algorithms. Based on the semantic similarity measurement method and the trigger word mining results, the features representation of event semantic information is enhanced by using the Bidirectional Encoder Representations from Transformers (BERT) model and Bi-directional Long Short-Term Memory (BiLSTM) model. At the same time, event arguments are mined and a local dependency graph is generated based on their mining results, and then the enhanced local dependency features are obtained by using the graph convolutional network (GCN). Finally, the event semantic features and local dependency features are fused, and the conditional random field (CRF) is used to predict the labels to obtain the event extraction results. Through the comparison with five baseline methods on the datasets of rail transit design codes, it is found that the Precision, Recall, and F1 score of the proposed method are improved, with an average improvement of 9.604% on Precision, 9.342% on Recall, and 9.730% on F1 score, respectively. The contribution of the sub-modules to the overall performance is further evaluated through ablation experiments, which confirms the effectiveness and feasibility of the proposed method. © 2024 IEEE.

关键词： Semantics

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Video Anomaly Detection with Video Vision Transformer 8

Video Anomaly Detection with Video Vision Transformer

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8th International Conference on Signal and Image Processing, ICSIP 2023

作者： Guo, Biao Liu, Mingrui He, Qian Jiang, Ming Guilin University of Electronic Technology Guangxi Key Laboratory of Trusted Software Guilin China Guilin University of Electronic Technology School of Computer Science and Information Security Guilin China

ISBN: (纸本)9798350397932

Video anomaly detection refers to the identification of unusual events or activities and represents irregular behavior. However, it is extremely difficult to localize and extract abnormal events containing potentially valuable information from long video streams. Most of the existing methods rely on autoencoder, which fail to capture the global context information of the video. In this paper, we propose a new video anomaly detection method called VadVVT using Video Vision Transformer (ViViT). This model uses Transformer to automatically learn video representation and global contexts. It utilizes the transform encoder to extract spatio-temporal features from the video sequence and employs a decoder to predict the next frame. Our method models normality in the training phase and identifies an event with unpredictable as anomalies during the test phase. The experiments results on three public datasets demonstrate that our method outperforms existing methods. © 2023 IEEE.

关键词： computer vision

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ESNet: Evolution and Succession network for High-Resolution Salient Object Detection 41

ESNet: Evolution and Succession Network for High-Resolution ...

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41st International Conference on Machine Learning, ICML 2024

作者： Liu, Hongyu Cong, Runmin Li, Hua Xu, Qianqian Huang, Qingming Zhang, Wei Institute of Information Science Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing China School of Control Science and Engineering Shandong University Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan China School of Computer Science and Technology Hainan University Hainan China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China

Preserving details and avoiding high computational costs are the two main challenges for the High-Resolution Salient Object Detection (HRSOD) task. In this paper, we propose a two-stage HRSOD model from the perspective of evolution and succession, including an evolution stage with Low-resolution Location Model (LrLM) and a succession stage with High-resolution Refinement Model (HrRM). The evolution stage achieves detail-preserving salient objects localization on the low-resolution image through the evolution mechanisms on supervision and feature;the succession stage utilizes the shallow high-resolution features to complement and enhance the features inherited from the first stage in a lightweight manner and generate the final high-resolution saliency prediction. Besides, a new metric named Boundary-Detail-aware Mean Absolute Error (MAEBD) is designed to evaluate the ability to detect details in high-resolution scenes. Extensive experiments on five datasets demonstrate that our network achieves superior performance at real-time speed (49 FPS) compared to state-of-the-art methods. Our code is publicly available at: https://***/rmcong/ESNet_ICML24. Copyright 2024 by the author(s)

关键词： Miocene

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