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A Survey on Blockchain Abnormal Transaction Detection 5th

A Survey on Blockchain Abnormal Transaction Detection

引用

5th International Conference on Blockchain and Trustworthy Systems, BlockSys 2023

作者： Liu, Shuai Cui, Bo Hou, Wenhan Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing College of Computer Science Inner Mongolia University Hohhot010021 China

ISBN: (纸本)9789819981007

Blockchain technology has undergone rapid development in recent years, transactions on Blockchains, represented by prominent examples such as Bitcoin and Ethereum, are rapidly increasing in number. However, with the large volume of transactions, a variety of scams such as phishing and Ponzi schemes have become more prevalent and are often hidden among legitimate transactions. To combat these anomalies and fraudulent activities, it is necessary to adopt anomaly detection methods. In this article, we conduct an extensive survey of the current body of research in the area of blockchain anomaly transaction detection and analyze the current state of research by examining the key point involved in detection, including data imbalance, feature extraction, and classification algorithms. Additionally, we discuss the potential of applying graph convolutional networks (GCN) to the domain of blockchain anomaly detection and predict that GCN will likely become a mainstream approach in the near future. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Blockchain

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Research on the Application of Drone Remote Sensing and Target Detection in Civilian Fields 5

Research on the Application of Drone Remote Sensing and Targ...

引用

5th International Conference on High Performance Big Data and Intelligent Systems, HDIS 2023

作者： Gao, Xiaochen Bai, Xiangyu Zhou, Kexin Key of Wireless Networking and Mobile Computing College of Computer Inner Mongolia University Inner Mongolia Hohhot China

ISBN: (纸本)9798350394160

Unmanned aerial vehicle (UAV) remote sensing has evolved as an efficient means of geospatial data acquisition. This paper provides a comprehensive review of the key technologies enabling intelligent analysis of UAV remote sensing images, specifically payload technology and object detection algorithms. Main payload systems including optical, multispectral, hyperspectral, SAR, and LiDAR are introduced, with analyses of their working principles, performance benchmarks, and suitable application scenarios. In terms of object detection, traditional methods and emerging deep learning-based techniques are discussed and compared. The superior capabilities of anchor-free and Transformer-based detectors are analyzed through representative algorithms like CenterNet, FCOS, and DETR. Additionally, case studies demonstrate the broad applications and profound value of UAV remote sensing with intelligent target detection in areas such as precision agriculture, environmental conservation, infrastructure monitoring, and emergency response. Overall, this paper offers an in-depth examination of the landscape and trends of core technologies augmenting UAV remote sensing, providing guidance for future research and applications. ©2023 IEEE.

关键词： Object detection

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A review of irrigation monitoring based on Internet of Things, remote sensing and artificial intelligence 23

A review of irrigation monitoring based on Internet of Thing...

引用

2nd International Conference on Networks, Communications and Information Technology, CNCIT 2023

作者： Liu, Jinyao Bai, Xiangyu Wang, Zhaoran Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing College of Computer Inner Mongolia University China

ISBN: (纸本)9798400700620

As the largest consumer of fresh water, agricultural irrigation, combined with climate change and increasing human water use activities around the world, has led to a serious water crisis. As a crucial part of irrigation scheduling, the monitoring object of precision irrigation will effectively improve the efficiency and accuracy in agricultural practice. This paper reviews the main monitoring objects used in irrigation scheduling in recent years. From the literature review, the monitoring objects are mainly divided into three categories based on soil moisture, weather and evapotranspiration, and plants, among which the monitoring based on soil moisture is the most common and direct method. At the same time, the development and application of Internet of Things(IoT), wireless Sensor Network(WSN), Remote Sensing(RS) and Artificial Intelligence(AI) also provide advanced technical means for irrigation monitoring. This review is expected to help researchers and farmers select appropriate irrigation monitoring objects, thereby improving the effective water use efficiency in irrigation scheduling and reducing the water cost for farmers. © 2023 ACM.

关键词： Soil moisture

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Review of Ecological Environment Monitoring Methods of Northern Wetland in Inner Mongolia Based on WSN 7

Review of Ecological Environment Monitoring Methods of North...

引用

7th International Conference on Communication and Information Systems, ICCIS 2023

作者： Li, Wenyu Bai, Xiangyu Zhou, Kexin College of Computer Inner Mongolia University Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing Hohhot China

ISBN: (纸本)9798350330540

Wetland ecosystem is a special ecosystem, which refers to the area where water and land intersect, including swamps, rivers, lakes, estuaries, bays, etc. These areas usually have special biodiversity and ecological functions, which are of great significance to both human beings and the natural environment. In recent years, the northern wetland ecosystem of Inner Mongolia with Hulun Lake, Wuliangsuhai Lake and Daihai Lake as the core, is facing the problems of reduced water area, poor water quality and serious pollution due to natural and human factors, which has begun to affect other environmental changes and hindered social and economic development. It is urgent to monitor the ecological environment and control pollution in relevant areas. The core of environmental monitoring is data collection. The traditional data acquisition methods have some defects, such as high cost and low efficiency. This paper proposes to use wireless sensor network to carry out long-term automatic monitoring of ecological environment in this area, and summarizes the relevant experience and technology. © 2023 IEEE.

关键词： Environmental monitoring Wetland ecosystem in the North wireless sensor network

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Progress and Challenges of Polymorphic Smart Networks 24

Progress and Challenges of Polymorphic Smart Networks

引用

24th Asia-Pacific Network Operations and Management Symposium, APNOMS 2023

作者： Liu, Peixin Bai, Xiangyu Wang, Zhaoran Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing College of Computer Inner Mongolia University Hohhot China

ISBN: (纸本)9788995004395

The current Internet infrastructure and technology system faces major challenges in intelligent, diversified, personalized, highly robust, efficient and other aspects, and it is urgent to reform the network infrastructure. Polymorphic smart network (PINet), as an open network architecture based on full-dimensional definable technology, has been studied by more and more scholars. This paper first introduces the architecture of polymorphic smart network, then introduces the key technologies and related research of polymorphic smart network, then describes its simulation environment, and finally expounds the existing problems and possible breakthrough technologies and key points of PInet. Copyright 2023 KICS.

关键词： Network architecture

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An Overview of Intelligent Algorithm-Based Routing in Delay Tolerant Networks 8

An Overview of Intelligent Algorithm-Based Routing in Delay ...

引用

8th International Conference on computer and Communication Systems, ICCCS 2023

作者： Yao, Lei Bai, Xiangyu Wang, Zhaoran College of Computer Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing Inner Mongolia University Hohhot China

ISBN: (纸本)9781665456128

Delay tolerant network (DTN) is a new paradigm with the development of wireless technology and mobile Ad-hoc network (MANET). Unlike the stable end-to-end connection in the traditional network, the storage - carry - forward mode is adopted in DTN. Routing optimization is the most basic problem in delay tolerant network. It assumes the heavy responsibility of data transmission, and even determines the performance of the whole network. In recent years, with the development of artificial intelligence, there have been many researches on the use of AI to optimize the routing in DTN. However, the relevant literature is insufficient at present. In this paper, we first introduce the methods related to artificial intelligence, and then summarize and discuss the existing literature from five parts: machine learning classifier, prediction task using machine learning, biological heuristic method, reinforcement learning and artificial intelligence assistance. © 2023 IEEE.

关键词： Heuristic methods

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A Review of Network Resource Scheduling in Distance Education Scenarios 9

A Review of Network Resource Scheduling in Distance Educatio...

引用

9th International Conference on computer and Communications, ICCC 2023

作者： Zhao, Qingqing Bai, Xiangyu Zhou, Kexin College of Computer Inner Mongolia University Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing Hohhot China

ISBN: (纸本)9798350317251

With the rapid development of the Internet, resource scheduling in distance education scenarios faces new opportunities and challenges. In the context of large-scale distance education, how to realize rational scheduling of network resources is an issue worthy of systematic research. From the perspective of distance education, this paper provides an overview of the multiple factors that need to be considered in the current scheduling of distance education network resources, as well as the development of related optimization algorithms and network technologies. At the same time, the future development direction and trend are proposed for the problems and challenges faced by distance education network resource scheduling. In order to improve the utilization of network resources and the learning effect of students, the rational scheduling of network resources in distance education scenarios still needs continuous exploration and research. © 2023 IEEE.

关键词： Scheduling algorithms

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Automatic Road Disaster Detection Technologies: A Comprehensive Review of Developmental Progress

Automatic Road Disaster Detection Technologies: A Comprehens...

引用

2023 International Conference on Electronic Information Engineering and Data Processing, EIEDP 2023

作者： Zhu, Jieqi Bai, Xiangyu Wang, Zhaoran Nation’s Inner Mongolia Key Laboratory of Wireless Networking Mobile Computing College of Computer Inner Mongolia University China

ISBN: (纸本)9781510666160

As a strip building laid on the ground, highways are prone to road hazards such as pavement cracks, potholes, subsidence, tension cracks, extrusion bumps, and distortion deformation with the increase of service life. If these hazards are not detected and handled in a timely manner, they will cause significant traffic safety hazards. Therefore, regular road hazard detection is particularly important. Traditional road hazard detection methods are manual detection or detection with road detection vehicles, but due to the limitations of detection methods and processing technologies, they cannot meet the real-time requirements for road surface detection. Automatic road surface defect detection methods have proved their effectiveness in traditional road surface detection, and their real-time, fast, and accurate detection capabilities have established their potential advantages in automatic detection methods for road surface defects. This paper comprehensively analyzes the automatic detection and processing technology of road surface defects, explores different dimensions of automatic detection and processing technology for road surface defects, conducts detailed comparative analysis of road surface defect detection technology based on deep learning, Overall, the above work can promote the development of road surface defect technology and provide reference and basis for future road hazard detection methods. © 2023 SPIE.

关键词： Learning algorithms

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ATDG: An Automatic Cyber Threat Intelligence Extraction Model of DPCNN and BIGRU Combined with Attention Mechanism 24th

ATDG: An Automatic Cyber Threat Intelligence Extraction Mode...

引用

24th International Conference on Web Information Systems Engineering, WISE 2023

作者： Cui, Bo Li, Jinling Hou, Wenhan Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing College of Computer Science Inner Mongolia University Hohhot China

ISBN: (纸本)9789819972531

With the situation of cyber security becoming more and more complex, the mining and analysis of Cyber Threat Intelligence (CTI) have become a prominent focus in the field of cyber security. Social media platforms like Twitter, due to their powerful timeliness and extensive coverage, have become valuable data sources for cyber security. However, these data often comprise a substantial amount of invalid and interfering data, posing challenges for existing deep learning models in identifying critical CTI. To address this issue, we propose a novel CTI automatic extraction model, called ATDG, designed for detecting cyber security text and extracting cyber threat entities. Specifically, our model utilizes a Deep Pyramid Convolutional Neural Network (DPCNN) and BIGRU to extract character-level and word-level features from the text, to better extract of semantic information at different levels, which effectively improved out of vocabulary (OOV) problem in threat intelligence. Additionally, we introduce a self-attention mechanism at the encoding layer to enable the model to focus on key features and enhance its performance, which dynamically adjusts the attention given to different features. Furthermore, to address the issue of imbalanced sample distribution, we have incorporated Focal Loss into ATDG, enhancing our model capability to effectively handle data imbalances. Experimental results demonstrate that ATDG (92.49% F1-score and 93.07% F1-score) outperforms the state-of-the-art methods in both tasks, and effectiveness of introducing self-attention mechanism and Focal Loss is also demonstrated. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cybersecurity

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Research on Fine-grained Security Sharing Model of Medical Information Based on Blockchain 29

Research on Fine-grained Security Sharing Model of Medical I...

引用

29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023

作者： Cui, Bo Chen, Zeyu Inner Mongolia University Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing College of Computer Science Hohhot China

ISBN: (纸本)9798350330717

In light of the vulnerabilities in traditional medical information systems, including the susceptibility to malicious tampering of patients' medical records, opaque access decisions, and challenges in data sharing, this paper introduces a fine-grained security sharing model for medical information based on blockchain. Firstly, it leverages blockchain technology in conjunction with attribute-based access control to automate multi-authority fine-grained access control through smart contracts. Secondly, it categorizes sensitive attributes of different users and electronic medical records into distinct levels, implementing personalized privacy protection within the transaction workflow using local differential privacy policies and varying privacy budgets. Finally, a prototype system, built upon a consortium blockchain, was developed and tested using a dataset of 100,000 real-world electronic medical records. Experimental results demonstrate the model's capability to facilitate stable and reliable transactions between electronic medical record publishers and requestors while ensuring privacy protection. © 2023 IEEE.

关键词： blockchain data sharing differential privacy dynamic access control

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