检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

82 篇 会议
2 篇 期刊文献

馆藏范围

84 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

33 篇 工学
- 30 篇 计算机科学与技术...
- 26 篇 软件工程
- 17 篇 信息与通信工程
- 6 篇 控制科学与工程
- 6 篇 交通运输工程
- 5 篇 仪器科学与技术
- 5 篇 生物工程
- 4 篇 生物医学工程（可授...
- 4 篇 网络空间安全
- 3 篇 机械工程
- 3 篇 电气工程
- 3 篇 安全科学与工程
- 2 篇 动力工程及工程热...
- 2 篇 电子科学与技术（可...
- 2 篇 农业工程
17 篇 理学
- 10 篇 数学
- 5 篇 生物学
- 3 篇 统计学（可授理学、...
- 2 篇 化学
- 2 篇 系统科学
- 1 篇 物理学
- 1 篇 大气科学
11 篇 管理学
- 7 篇 管理科学与工程(可...
- 5 篇 工商管理
- 5 篇 图书情报与档案管...
4 篇 经济学
- 4 篇 应用经济学
2 篇 农学
2 篇 医学
- 2 篇 基础医学(可授医学...
- 2 篇 临床医学
1 篇 法学
- 1 篇 社会学
1 篇 教育学
- 1 篇 教育学

主题

11 篇 privacy
8 篇 differential pri...
6 篇 routing
5 篇 conferences
5 篇 publishing
5 篇 vehicular ad hoc...
4 篇 roads
4 篇 task analysis
4 篇 delays
4 篇 energy consumpti...
4 篇 servers
4 篇 itemsets
4 篇 blockchain
4 篇 protocols
4 篇 software
4 篇 sensors
3 篇 simulation
3 篇 relays
3 篇 wireless communi...
3 篇 bandwidth

机构

22 篇 college of compu...
19 篇 inner mongolia a...
11 篇 inner mongolia k...
9 篇 inner mongolia k...
9 篇 inner mongolia k...
6 篇 inner mongolia k...
5 篇 inner mongolia a...
4 篇 engineering rese...
3 篇 college of compu...
3 篇 inner mongolia u...
2 篇 college of compu...
2 篇 ordos dongsheng ...
2 篇 inner mongolia a...
2 篇 inner mongolia a...
2 篇 inner mongolia k...
2 篇 inner mongolia p...
1 篇 inner mongolia a...
1 篇 inner mongolia a...
1 篇 inner mongolia u...
1 篇 geomechanica inc

作者

29 篇 xiangyu bai
13 篇 bai xiangyu
11 篇 baoqi huang
9 篇 bo cui
8 篇 xu gang
8 篇 xuebin ma
7 篇 kexin zhou
7 篇 huang baoqi
7 篇 gang xu
7 篇 cui bo
6 篇 zhaoran wang
6 篇 wuyungerile li
6 篇 jia bing
6 篇 bing jia
5 篇 wang zhaoran
4 篇 wenhan hou
3 篇 shengyi guan
3 篇 lei yao
3 篇 hao lifei
3 篇 zhou kexin

语言

84 篇 英文

检索条件"机构=Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing"

共 84 条记录，以下是21-30 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Detecting Phishing Scams on Ethereum Using Graph Convolutional Networks with Conditional random Field 24

Detecting Phishing Scams on Ethereum Using Graph Convolution...

引用

24th IEEE International Conference on High Performance computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

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

ISBN: (纸本)9798350319934

As an innovative technology of great significance, blockchain has been widely used in various walks of life. Meanwhile, scams have experienced rapid growth on the blockchain, the phishing scam is a classic fraud among them. Ethereum is the largest blockchain platform that supports smart contracts, and its ecosystem has been under serious threat due to phishing scams. Consequently, phishing scam detection is particularly critical for Ethereum to avoid economic loss. However, accounts on Ethereum are represented as strings without features, which brings great difficulties for detection. To combat this challenge, we propose an effective method based on Graph Convolutional Network (GCN) with Conditional random Field (CrF) to detect phishing scams. Firstly, we process accounts and their neighbors with transaction records to build transaction graphs. Due to lack of portrait information, we adopt DeepWalk to provide initial features for each node. Then graph representations are learned through GCN with CrF. The extensive experiments show that the proposed model performs better than comparison methods on both precision and recall, which indicates that our method can effectively identify phishing scams on Ethereum. © 2022 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

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, Zha.r.n 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

来源：评论

学校读者我要写书评

暂无评论

Comparation of UAV Path Planning for Logistics Distribution 6th

Comparation of UAV Path Planning for Logistics Distribution

引用

6th International Conference on Intelligent Transportation Engineering, ICITE 2021

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

ISBN: (纸本)9789811922589

In recent years, unmanned a.r.al vehicle (UAV), has been increasingly applied to research in various fields due to its small size and fast speed. Among them, the path planning of UAV under various actual environmental constraints has been one of the hot issues for the past few years. UAV path planning is to find the optimal or feasible route from the starting point to the target point and meet the UAV performance indicators under specific constraints. The essence of the problem is the optimization problem of multi-objective function to find the extreme value under multi-constraints. In this paper, under the background of logistics distribution, Through the research of UAV path planning model and algorithm, this paper summarizes the UAV path planning problems, analyzes several common path planning algorithms in recent years, and ca.r.es out simulation experiments with MATLAB on several algorithms with high attention. On this basis, the future research direction is prospected. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

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

来源：评论

学校读者我要写书评

暂无评论

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

来源：评论

学校读者我要写书评

暂无评论

research on access control of smart home in NDN (Short Paper) 14th

Research on access control of smart home in NDN (Short Paper...

引用

14th EAI International Conference on Collaborative computing: networking, Applications and Worksharing, CollaborateCom 2018

作者： Wu, rina Cui, Bo Li, ru Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing College of Computer Science Inner Mongolia University Hohhot010021 China

ISBN: (纸本)9783030129804

Named Data networking (NDN) is one of the future Internet architectures and can support smart home very well. There is a large amount of private data with lower security level in smart home. Access control is an effective security solution. However, the existing NDN’s access control mechanisms that can be applied to smart homes don’t reasonably use the cache in NDN and take into account users’ authorization cancellation phase. Therefore, we designed an access control mechanism for smart homes in NDN. We mainly consider the process of the user requests permission, user requests data and user permission cancellation. By using the Cipher Block Chaining (CBC) symmetric encryption algorithm, identity-based encryption, and proxy re-encryption, the cache in NDN is effectively utilized, and the counting Bloom Filter is used to filter ineffective Interest packets and complete the user’s privilege cancellation phase. Experimental results show that the access control mechanism designed in this paper can effectively reduce the total time which starts from user requests the permission to decrypt data and reduce the time overhead of the NDN routers in the process of user privileges cancellation after using the counting Bloom Filter. © 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Automation

来源：评论

学校读者我要写书评

暂无评论

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

来源：评论

学校读者我要写书评

暂无评论

Seed Node Selection Algorithm Based on Node Influence in Opportunistic Offloading 28

Seed Node Selection Algorithm Based on Node Influence in Opp...

引用

28th IEEE Symposium on Computers and Communications, ISCC 2023

作者： Tang, Qi Hang, ruijie Xu, Gang Zhang, Gaofeng Li, Shuai Huang, Baoqi College of Computer Science Inner Mongolia University Hohhot010021 China Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Hohhot010021 China Ordos Dongsheng Manshi Middle School Ordos017000 China

ISBN: (纸本)9798350300482

As a kind of mobile traffic offloading technology, opportunistic triage downloads and distributes data through seed nodes. Therefore, how to efficiently and accurately select suitable seed nodes becomes a key problem of opportunistic streaming technology. To address the problem of insufficient research on seed node content coverage in existing studies, this paper combines the characteristics of opportunity networks and the solution idea of the influence maximization problem and proposes the evaluation model of node influence for the first time. Then proposes a seed node selection algorithm (SNSNI) based on node influence on this basis. Experimental results show that the set of seed nodes selected by SNSNI algorithm can obtain smaller average message transmission delay and more covered nodes in the triage scenario compared with the random algorithm, and fewer seed nodes are required to achieve the same effect. © 2023 IEEE.

关键词： mobile traffic offloading node influence opportunistic triage seed node

来源：评论

学校读者我要写书评

暂无评论

a.r.search of Vehicle Ad Hoc Network Incentive Mechanism

A Research of Vehicle Ad Hoc Network Incentive Mechanism

引用

International Conference on Electronics Information and Emergency Communication

作者： Xiaojuan Zhang Xiangyu Bai Qi Liu Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Inner Mongolia University China

Vehicle Ad Hoc Network (VANET) is an on-board self-organizing network. The communication modes of VANET mainly include V2V and V2r. Due to the unique characteristics of VANET, such as high mobility and intermittent connections, resource transmission is unstable and delay is large. However, because of its limited conditions, the node is selfish in forwarding messages. In order to motivate nodes to cooperate with each other, three types of incentive mechanisms have been proposed to which provide forwarding data services. For recent *** work is summarize for VANET incentive mechanisms, firstly I will summarize the VANET and VANET incentive mechanisms; Then, I will introduce three major types of incentives and several types of core research issues; finally, I will compare existing work and summarize research challenges.

关键词： Vehicular ad hoc networks Online banking wireless networks Protocols Servers

来源：评论

学校读者我要写书评

暂无评论

research of routing Strategies Based on Network Encoding Under Vehicle networking

Research of Routing Strategies Based on Network Encoding Und...

引用

International Conference on Electronics Information and Emergency Communication

作者： Hua Zhang Bo Cui Xiangyu Bai Inner Mongolia A.R. Key Laboratory of Wireless Networking and Mobile Computing Inner Mongolia University China

Vehicular ad-hoc network (VANET) is a mobile Ad-hoc network composed of vehicles and roadside access points. It is a wireless network that enables information communication between vehicles and vehicles, between vehicles and access points. The vehicle-mounted network is different from the traditional wireless network, and has the characteristics of fast change of network topology, limited nodes, and intermittent connectivity of the network. Therefore, data transmission performance faces the challenges of low bandwidth utilization, large load, and high latency. In order to improve the efficiency of on-board network transmission and reduce the time delay, the network coding technology is proposed to significantly reduce the delay and improve the transmission efficiency. This paper summarizes the research on various routing strategies based on network coding in the VANET environment, and points out the future research directions through comparative analysis.

关键词： Network coding Vehicular ad hoc networks routing routing protocols Delays Encoding

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共9页 << < 1 2 3 4 5 6 7 8 9 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：