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

4,997 篇 会议
280 册 图书
88 篇 期刊文献

馆藏范围

5,365 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,884 篇 工学
- 2,574 篇 计算机科学与技术...
- 1,725 篇 软件工程
- 970 篇 信息与通信工程
- 371 篇 电气工程
- 307 篇 控制科学与工程
- 182 篇 网络空间安全
- 126 篇 动力工程及工程热...
- 125 篇 电子科学与技术（可...
- 120 篇 安全科学与工程
- 111 篇 机械工程
- 102 篇 生物工程
- 70 篇 建筑学
- 69 篇 仪器科学与技术
- 54 篇 生物医学工程（可授...
- 45 篇 土木工程
- 43 篇 交通运输工程
617 篇 理学
- 371 篇 数学
- 118 篇 生物学
- 105 篇 系统科学
- 100 篇 统计学（可授理学、...
- 84 篇 物理学
488 篇 管理学
- 337 篇 管理科学与工程(可...
- 189 篇 图书情报与档案管...
- 162 篇 工商管理
242 篇 法学
- 166 篇 法学
- 82 篇 社会学
78 篇 医学
- 65 篇 临床医学
- 63 篇 基础医学(可授医学...
- 51 篇 公共卫生与预防医...
62 篇 经济学
- 62 篇 应用经济学
41 篇 军事学
17 篇 农学
16 篇 教育学
12 篇 文学
1 篇 艺术学

主题

499 篇 security
355 篇 wireless sensor ...
309 篇 computer network...
253 篇 protocols
247 篇 computer archite...
216 篇 intrusion detect...
213 篇 authentication
210 篇 computer communi...
200 篇 ip networks
189 篇 computer crime
171 篇 servers
165 篇 computer securit...
158 篇 information secu...
156 篇 network security
151 篇 internet of thin...
151 篇 distributed comp...
147 篇 computer science
147 篇 cryptography
142 篇 computational mo...
142 篇 internet

机构

25 篇 shandong provinc...
21 篇 key laboratory o...
13 篇 shandong fundame...
12 篇 chitkara univers...
10 篇 information syst...
9 篇 shandong enginee...
9 篇 king saud univer...
9 篇 school of comput...
9 篇 institute of inf...
8 篇 school of comput...
8 篇 department of co...
8 篇 department of co...
8 篇 department of co...
7 篇 key laboratory o...
7 篇 school of comput...
7 篇 department of la...
7 篇 hannam universit...
6 篇 shandong enginee...
6 篇 chinese acad sci...
6 篇 department of el...

作者

17 篇 eyas el-qawasmeh
11 篇 tai-hoon kim
9 篇 hammoudeh mohamm...
9 篇 dominik ślęzak
9 篇 obaidat mohammad...
9 篇 igor kotenko
8 篇 isaac woungang
8 篇 azizah abd manaf
8 篇 mukaddim pathan
7 篇 osvaldo gervasi
7 篇 yanmin zhu
7 篇 mohammad s. obai...
7 篇 barolli leonard
7 篇 lin zhang
7 篇 jasni mohamad za...
7 篇 wei wang
6 篇 klaus wehrle
6 篇 zarai faouzi
6 篇 yunhao liu
6 篇 shahid raza

语言

5,191 篇 英文
143 篇 其他
39 篇 中文
1 篇 葡萄牙文

检索条件"任意字段=International Conference on Security in Computer Networks and Distributed Systems, SNDS 2012"

共 5365 条记录，以下是661-670 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：

Drowsy Driver Detection System using computer Vision and Transfer Learning for Preventing Road Accidents

Drowsy Driver Detection System using Computer Vision and Tra...

引用

Blockchain and distributed systems security (ICBDS), IEEE international conference on

作者： Naisargi Bagal Kashish Dingreja Atharva Atterkar Prasad Bachhav Nilesh P. Sable Anuradha Yenkikar Ritesh Alkunte Department of Computer Science and Engineering - Artificial Intelligence Vishwakarma Institute of Information Technology Pune India

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

Major traffic accidents are attributed to driver fatigue, according to study on the topic. Driver drowsiness is a state in which the driver of a car is on the verge of falling asleep or losing consciousness. It can be brought on by a number of variables, including biological, physical, psychological, and other factors, all of which can impede and inhibit safe driving. The several methods that can be applied to the implementation of a system for the detection of driver sleepiness will be reviewed in this paper. Improving the ability to identify drowsiness in real time through computer vision is the main objective of all technologies. Thus, our work also pertains to the identification of driver drowsiness, whereby a motorist's tiredness can be ascertained by first recognizing their face, followed by eye tracking. The system compares the extracted eye image with the dataset. The system used the dataset and predicts using transfer learning with our base model as InceptonV3 to identify that it could alert the driver with an alarm if the driver's eyes were closed for a predetermined amount of time, and it could resume monitoring if the driver's eyes were open following the alarm alert. We established a score that grew if the eyes were closed and dropped if they were open. This study aims to reduce traffic accidents by solving the sleepiness detection problem with InceptionV3 with an accuracy of 95.46% compare to 92.11% of ***, driving drowsiness detection—which assesses a driver's degree of fatigue using facial recognition and eye tracking becomes the main focus of our research.

关键词： computer vision Accuracy Sleep Face recognition Transfer learning Neural networks Real-time systems Safety security Vehicles

来源：评论

学校读者我要写书评

暂无评论

Detection and Mitigation of DDoS Attacks on IoT networks Using Machine Learnin

Detection and Mitigation of DDoS Attacks on IoT Networks Usi...

引用

IEEE international conference on Multi Topic

作者： Akram Rashid Syed Muhammad Khaliq-Ur-Rahman Raazi Shayhaq Ali Directorate of Informatin Technology Univeristy of Gwadar Gwadar Pakistan Department of Computer Science Mohammed Ali Jinnah University Karachi Pakistan Department of Computer Science Univeristy of Gwadar Gwadar Pakistan

ISBN: (数字)9798331507213

ISBN: (纸本)9798331507220

Smart homes, cities, and healthcare are just a few examples of how the Internet of Things (IoT) simplifies daily life. With the rise of 5G, the number of connected IoT devices is rapidly increasing, expected to surpass 75 billion by 2025. However, this growth also brings significant security risks, particularly the vulnerability of IoT Network to distributed Denial of Service (DDoS) attacks, which can overwhelm networks. In this research, we applied machine learning techniques on the CIC-DDoS 2019 dataset to detect and mitigate DDoS attacks on IoT devices. The results show high accuracy across several models: Logistic Regression (88%), Decision Tree (93%), Random Forest (94%), KNN (93%), Naive Bayes (72%), and SVM (89%). These findings suggest that machine learning is an effective approach for real-time DDoS attack detection and mitigation in IoT networks.

关键词： Support vector machines Prevention and mitigation Urban areas Smart homes Nearest neighbor methods Denial-of-service attack Real-time systems Internet of Things security Random forests

来源：评论

学校读者我要写书评

暂无评论

A Zero Trust Single Sign-On Framework with Attribute-Based Access Control

A Zero Trust Single Sign-On Framework with Attribute-Based A...

引用

IEEE conference on Commerce and Enterprise Computing, CEC

作者： Daniel Kaltenböck Ilir Murturi Schahram Dustdar Distributed Systems Group TU Wien Vienna Austria

ISBN: (数字)9798331529093

ISBN: (纸本)9798331529109

Authentication, authorization, and access control are fundamental functionalities that are crucial for network infrastructures and software applications. These functionalities work together to create a fundamental security layer that allows administrative entities to control user actions. Implementing a security layer may be simple for basic applications, but as modern digital infrastructures become more complex, more advanced security systems are needed. Traditional perimeter-based security models, long relied upon for securing large networks, exhibit vulnerabilities and lack adaptability to modern architectures. As technology advances, there is a growing demand for new authentication and authorization systems to keep up with the changes. Zero Trust (ZT) emerges as a paradigm embodying such principles and concepts for constructing contemporary security systems. This paper introduces a ZT-based Single SignOn (SSO) framework to demonstrate how ZT can be realized in multi-service environments using Attribute-Based Access Control (ABAC). A prototype is developed to show the feasibility and applicability of the proposed framework in a smart city context.

关键词： Authorization Adaptation models Smart cities Prototypes Authentication computer architecture Software Zero Trust Informatics Business

来源：评论

学校读者我要写书评

暂无评论

Machine Learning based Portable Executable Malware and DDoS Attacks Detection in IoT networks

Machine Learning based Portable Executable Malware and DDoS ...

引用

international conference on ent Computing and Control systems (ICICCS)

作者： S. Balakrishnan S. Leelavathy Sunil Kumar RM S. Simonthomas Department of Computer Science and Engineering Aarupadai Veedu Institute of Technology Vinayaka Mission’s Research Foundation(DU) Chennai Tamil Nadu India Department of AI&DS Panimalar Engineering College Chennai Department of CSE RL Jalappa Institute of Technology Bangalore Rural District Department of Computer Science and Engineering Aarupadai Veedu Institute of Technology VMRF-DU Chennai Tamil Nadu India

ISBN: (数字)9798331512088

ISBN: (纸本)9798331512095

As the Internet of Things digital systems have been becoming increasingly complex, so are the cybersecurity issues, which, in turn, have been heightened by the malicious activities of Portable Executable (PE) malware and distributed Denial of Service (DDoS) attacks. These kinds of threats constitute a significant challenge to the integrity, confidentiality, and availability of connected systems; hence, an immediate need has been identified to design effective detection mechanisms. The development of IoT-based devices has moved at a galloping speed, which was accompanied by enormous security issues of these networks with respect to potential cyber threats caused by PE malware or DDoS. The PE malware exploits vulnerabilities in executable files to breach IoT devices, which most of the time leads to unauthorized access and system compromise. However, DDoS attacks target IoT networks by causing a flood of malicious traffic against them, thereby resulting in service interruptions and great damage. The proposed system uses Multivariate Correlation Analysis (MCA) to evaluate network flow based on the extraction and analysis of spatial relationships among traffic attributes. MCA can prove to be an effective anomaly-based detection mechanism in the case of malicious behavior. The proposed system ensures scalability and real-time capability in terms of detection offered by it by using lightweight machine learning models and combining them with MCA. This strategy intends to enhance IoT environment security through a reliable framework for identifying PE malware and counteracting DDoS attacks.

关键词： Correlation Accuracy Scalability Telecommunication traffic Denial-of-service attack Malware Real-time systems Internet of Things Reliability computer crime

来源：评论

学校读者我要写书评

暂无评论

Preserving Privacy using distributed Ledger Technology in Intelligent Transportation System 2022

Preserving Privacy using Distributed Ledger Technology in In...

引用

14th international conference on Contemporary Computing, IC3 2022

作者： Nair, Meghna Manoj Frederick, Terrance Fernandez Tyagi, Amit Kumar School of Computer Science Engineering Vellore Institute of Technology Tamilnadu Chennai India Institute of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamilnadu Chennai India Centre for Advanced Data Science Vellore Institute of Technology Tamilnadu Chennai600127 India

ISBN: (纸本)9781450396752

Intelligent Transportation System (ITS) is an enhanced application which mainly aims towards the curation of smart and interconnectivity services to ease the existing transportation systems. It is a field with a plethora of future possibilities so as to provide efficient and advanced techniques by solving and tackling the existing challenges and problems. Especially in cities and countries which aim towards developing smart cities, ITS plays an essential role in advancing the transportation sector with regards to the city. Using a number of AI and ML techniques, a variety of approaches, algorithms and techniques can be put to effective utilization to boost the ITS ecosystem. However, with every boon compliment few banes and plausible bottlenecks. One of the major concerns while using V2V networks is the privacy and security issue. The data being transferred amidst vehicles mainly caters to the status updates on the vehicles adjacent to it, the speed, and driver's information in case of any accidents or wherever required. In such cases, the privacy of the drivers details and personal information are at stake and often poses a major security challenge. Furthermore, there are chances of data breaches and similar attacks by malicious users which can lead to huge data loss and tampering of data. A possible solution to this problem is to approach it through the perspective of Blockchain. Blockchain is a concept of sharing information/ data in a distributed and decentralized manner. The numerous blocks present in a blockchain which are responsible for storing information do so by encrypting and securing the data and hence can be integrated with a V2V system for overcoming the privacy and security challenges. © 2022 ACM.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Exploring the Potential of Sin-GAN for Image Generation and Manipulation

Exploring the Potential of Sin-GAN for Image Generation and ...

引用

Blockchain and distributed systems security (ICBDS), IEEE international conference on

作者： Madhav Sharma Hukum Chand Saini Pushpendra Kumar Sikarwal CSE(IoT) Poornima Institute of Engineering and Technology Jaipur India Engineering and Technology Jagannath University Jaipur India Computer Application JECRC University Jaipur India

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

SinGAN (Single Image Generative Adversarial networks) has emerged as a promising approach for image generation and manipulation tasks. This paper explores the potential of SinGAN in enhancing various Era and manipulation responsibilities. This paper explores the capability of SinGAN in improving numerous components of picture synthesis, including technology, manipulation, and recovery. By leveraging a hierarchical architecture, SinGAN enables the technology of wonderful photographs from a unmarried enter photo, facilitating various applications in laptop imaginative and prescient and pix. Through an in-intensity exploration of SinGAN's competencies, this examine investigates its effectiveness in generating realistic pix throughout exceptional scales, enabling first-class-grained manipulate over photo attributes, and assisting diverse photo manipulation obligations inclusive of inpainting, first-rate- resolution, and style switch. Additionally, we talk implementation techniques, demanding situations, and destiny research instructions to harness the total potential of SinGAN for advancing photo technology and manipulation strategies. Through empirical evaluations and case studies, we show the versatility and effectiveness of SinGAN in addressing real-global photograph synthesis challenges, paving the manner for its adoption in numerous domains including virtual artwork, enjoyment, and medical imaging.

关键词： Training Measurement Accuracy Portable computers Image resolution Image synthesis Switches Generative adversarial networks Blockchains security

来源：评论

学校读者我要写书评

暂无评论

Implementation of QOS in SDN and distributed networks for mitigation of DDOS based attacks using Machine Learning

Implementation of QOS in SDN and Distributed Networks for mi...

引用

Blockchain and distributed systems security (ICBDS), IEEE international conference on

作者： Subhash Kumar Kishor Kolhe School of Computer Engineering and Technology MIT World Peace University Pune India

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

distributed Denial Service of Service (DDoS) is very sophisticated attack which brute-force packet jamming to a network to render it useless, if done with large number of nodes. It can be easily countered by a number of techniques such as load balancing, rate limiting and many newer intelligent systems techniques but attackers are continuously developing new techniques to circumvent traditional defense mechanisms. The Sophistication of the attack is determined by current defenses in place and duration of attack. The use of DDoS attack is done on distributed Network traffic by an attacker which might send more traffic than a network card can handle or overwhelm an application with more requests than it can process which might led to not able to add legitimate user to the application With coming of Web 3.0 the DDoS attack grown exponentially , So we are proposing a Machine Learning based traffic filtering system by which we can determine the legitimate user entering to our application resources with encrypted HTTPS traffic. Pirated and duplicate IP events filtering will lead to clean resources inside Web3.0 and gaming environment which will improve the efficiency, latency and performance of game and similar resources. We will use QoS parameters in SDN parameters to define the network governance and tuning mechanism so that application traffic is correctly routed and prioritized. One of the major reasons to propose this research is because right now the major rDDoS attacks shifted from L3/L4 Network Layer to L7 Application layer causing major increase in attack size ratio.

关键词： Semantic Web Filtering Prevention and mitigation Quality of service Machine learning Telecommunication traffic Denial-of-service attack Load management computer crime Tuning

来源：评论

学校读者我要写书评

暂无评论

CoverS: Smart Contract-based Secure and Reliable Framework for V2V Communication

CoverS: Smart Contract-based Secure and Reliable Framework f...

引用

Blockchain and distributed systems security (ICBDS), IEEE international conference on

作者： Tirth Gohil Daksh Govani Janam Patel Rajesh Gupta Sudeep Tanwar Department of Computer Science and Engineering Institute of Technology Nirma University Gujarat India

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

Communication between vehicles, known as Vehicle-to-Vehicle (V2V) communication, plays a critical role in enhancing traffic management and road safety by facilitating the real-time exchange of vital information. While traditional methods like Dedicated Short-Range Communication (DSRC) and Long-Term Evolution (LTE) have proven effective, they are not without limitations, particularly concerning privacy and security. Emerging technologies such as 5G and Blockchain offer promising solutions to address these challenges. This study explores the integration of Blockchain technology into V2V communication systems to improve data security, reliability, and privacy. Blockchain’s decentralized nature inherently ensures data integrity and transparency, while smart contracts automate processes, guaranteeing secure and efficient data transmission. The proposed framework targets the optimization of V2V communication by leveraging Blockchain’s unique features, including data security, immutability, and decentralization. The primary objective is to develop a Blockchain-enabled system that facilitates secure communication channels between vehicles. This system will incorporate functionalities such as user and vehicle registration, authentication, and efficient communication algorithms. This research contributes significantly to the establishment of a robust V2V communication framework, ultimately paving the way for improved road safety and traffic management.

关键词： Data security Smart contracts Vehicular ad hoc networks Authentication Road safety Real-time systems Blockchains Reliability Data communication Dedicated short range communication

来源：评论

学校读者我要写书评

暂无评论

Raspberry Pi Powered Deep Learning-based Chest X-ray Analysis for Medical Diagnosis

Raspberry Pi Powered Deep Learning-based Chest X-ray Analysi...

引用

Blockchain and distributed systems security (ICBDS), IEEE international conference on

作者： Srinivas Talasila Vijaya Kumar Gurrala E Vijaya Babu Vangoju Ramyasri Tarun Basavaraju Srinija Pallerla Dept of ECE VNRVJIET Hyderabad India

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

Despite the impressive performance, traditional medical imaging analysis equipment is often costly and cumbersome, limiting accessibility, especially in remote or resource-constrained areas. This work proposes harnessing the capabilities of deep learning models, particularly Convolutional Neural networks (CNNs). This study explores the feasibility of employing CNN models, particularly ResNet family, which have demonstrated exceptional performance in various deep learning applications. In this work, CNN is applied for the detection of lung diseases by considering chest X-rays and automatically classifying them into four categories: COVID-19, pneumonia, lung opacity, and normal. Furthermore, the research investigates the implementation of the trained CNN model on a Raspberry Pi, a low-cost, single-board computer with decent computational power. By deploying the model on such an accessible platform, the aim is to extend the benefits of deep learning-based chest X-ray analysis to resource-limited environments. The proposed model was able to achieve 97.98% classification accuracy and demonstrated significant potential in classifying chest X-ray images. The integration of efficient deep learning architectures contributes to the development of robust diagnostic capabilities, potentially revolutionizing healthcare accessibility in underserved regions.

关键词： Deep learning COVID-19 Adaptation models Accuracy Pneumonia Computational modeling Transfer learning Convolutional neural networks X-ray imaging Biomedical imaging

来源：评论

学校读者我要写书评

暂无评论

Optimising Silver-Enhanced BiFeO3 Nanoparticle Catalysts Using Random Forests and Genetic Algorithms

Optimising Silver-Enhanced BiFeO3 Nanoparticle Catalysts Usi...

引用

distributed systems, computer networks and Cybersecurity (ICDSCNC), international conference on

作者： Jaidev Kumar G Selvan R. Saranya Raj Kumar Gupta M Anusuya Gourav Kalra Department of Chemistry Hariom Saraswati P. G. College Haridwar India Department of Physics Thanthai Hans Roever College Perambalur India Department of Information Technology Nandha Engineering College Erode India Department of Physics Sardar Vallabhbhai Patel College Bhabua VKSU India Department of Physics Indra Ganesan College of Engineering Trichy India Department of Mechanical Engineering Maharishi Markandeshwar Engineering College Mullana Ambala India

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

This study addresses the task of optimizing Silver-Enhanced BiFeO₃ Nanoparticle Catalysts, which is essential for improving catalytic efficiency in industrial applications. The article presents a new approach that integrates Random Forests and Genetic Algorithms to forecast and enhance catalyst performance. This methodology surpasses current approaches by a large margin, reaching an accuracy of 95.6%, precision of 94.3%, recall of 96.8%, F1-score of 95.5%, and an AUC-ROC score of 0.98. The measurements highlight the model's exceptional predicted accuracy and dependability in comparison to conventional methodologies. This research utilizes sophisticated machine learning techniques to not only provide a strong framework for optimizing catalysts but also offers vital insights to the field of nanomaterial science and engineering. The findings indicate that the suggested method provides a superior approach for enhancing the performance of nanoparticle catalysts, which might result in more streamlined industrial operations. This study lays the foundation for future research to investigate greater improvements by including other machine learning techniques or hybrid models.

关键词： Accuracy Catalysts Current measurement Predictive models computer networks Catalysis computer security Random forests Optimization Genetic algorithms

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500页 << < 63 64 65 66 67 68 69 70 71 72 > >>

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：