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631-640 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：

ASBlock:An Agricultural based Supply Chain Management using Blockchain Technology 2

ASBlock:An Agricultural based Supply Chain Management using ...

引用

2nd international conference on Machine Learning and Data Engineering, ICMLDE 2023

作者： Panigrahi, Amrutanshu Pati, Abhilash Dash, Bibhu Sahoo, Ghanashyam Singh, Debabrata Dash, Manoranjan University Odisha India School of Computer and Information Science University of the Cumberlands Williamsburg United States Department of CSE GITA Autonomous College Odisha India University Odisha India University Odisha India

Blockchain is a distributed digital ledger technology that allows for the immutable and auditable logging of transactions without needing a central authority or centralized database. First introduced in 2008 as the technology behind the digital currency Bitcoin, blockchain has now found use in a wide range of sectors. Modern agriculture supply networks have emerged to accommodate intricate interactions between regional actors and the agricultural environment. Interactions between various participants in the supply chain, including those involved in manufacturing, processing, and delivery. One of the main reasons fraud happens so often in agriculture is the lack of transparency in the supply chain. Businesses that aren't transparent run the risk of losing money, alienating their customers, and seeing their brands decline in value. To encourage the growth of an efficient and trustworthy trading environment, several fundamental adjustments to the current supply chain architecture are necessary. The potential for blockchain technology to enhance food and agricultural supply chain transparency is well acknowledged. Companies utilize IoT and blockchain to create more equitable, sustainable, and customer-friendly food manufacturing systems. In this current work, a blockchain-based decentralized application (dApp), 'ASBlock', is developed for agricultural-based supply chain management. The primary focus of this developed application is to bring transparency and security to all participating users of the application;the users of this application include farmers or producers, suppliers or retailers, hotels, and end users. The performance analysis shows that the average gas utilization of the proposed ASBlock dApp is ~2.8 * 104. The average smart contract execution time for all use cases is ~112sec. © 2024 Elsevier B.V.. All rights reserved.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Finding of DDoS Attack in IoT-Based networks Using Ensemble Technique

Finding of DDoS Attack in IoT-Based Networks Using Ensemble ...

引用

Intelligent systems for Cybersecurity (ISCS), international conference on

作者： Animesh Srivastava Shweta Tiwari Deepak Kumar Navin Garg Department of Computer Science & Engineering Graphic Era Hill University Dehradun Department of Computer Science & Engineering / University Institute of Engineering Chandigarh University Mohali Punjab Department of Computer Science and Engineering SGT University Gurugram Computer Science & Engineering Graphic Era (Deemed to be University) Dehradun Uttarakhand

ISBN: (数字)9798350375237

ISBN: (纸本)9798350375244

Ensemble techniques could find DDoS attacks more quickly in IoT. A more dependable and precise detection system can be achieved by integrating the most advantageous attributes of XGBoost and Random Forest. This ensures that Internet of Things systems remain operational. Internet of Things (IoT) systems are significantly compromised regarding security and dependability by distributed Denial of Service (DDoS) assaults. Ensemble approaches, which utilize multiple machine learning models to generate predictions, appear to be a viable method for facilitating the detection of DDoS attacks in such contexts. Conventional defenses against these everevolving attacks prove inadequate when applied to a singular method. It emphasizes Random Forest and XGBoost. The accuracy of the proposed ensemble in detecting distributed denial of service attacks initiated by Internet of Things devices is 99%. The findings demonstrate how ensemble methodologies can enhance the precision and resilience of DDoS attack detection in Internet of Things systems against adversarial assaults.

关键词： Accuracy Biological system modeling Predictive models Denial-of-service attack Market research Internet of Things computer crime

来源：评论

学校读者我要写书评

暂无评论

Quantum Communication-AI Interface for Real-Time Translation and Secure Transmission in Multilingual IoT networks

Quantum Communication-AI Interface for Real-Time Translation...

引用

Future Machine Learning and Data Science (FMLDS), IEEE international conference on

作者： Raj Kashikar Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg VA USA

ISBN: (数字)9798350391213

ISBN: (纸本)9798350391220

As the Internet of Things (IoT) continues to scale globally, secure and seamless communication across diverse languages and technical standards has become a significant challenge. To address this, this paper presents a novel Quantum Communication-AI Interface that enables real-time translation and secure data transmission within multilingual IoT networks. We integrated the principle of Quantum Key Distribution (QKD) with AI-driven multilingual translation algorithms to construct a system that provides security and interoperability for IoT devices across diverse linguistic and technical standards. Tested in a simulated environment representing a globally distributed IoT network, the proposed system has returned significant improvements in communication efficiency, security, and adaptability. According to the system's results, the Quantum CommunicationAI Interface provides a scalable and secure solution for the future of global IoT communication.

关键词： Translation Protocols Scalability Real-time systems Multilingual Quantum key distribution Internet of Things security Standards Interoperability

来源：评论

学校读者我要写书评

暂无评论

Exploring blockchain solutions: Integrating cryptocurrency with IoT for enhanced security

Exploring blockchain solutions: Integrating cryptocurrency w...

引用

Pervasive Computational Technologies (ICPCT), international conference on

作者： M Shravan Shital Kakad Umar M Mulani Geeti Sharma Mohit Tiwari Mary Shiba C School of Business SR University Warangal Telangana India Artificial Intelligence and Data Science Vishwakarma Institute of Technology Pune Maharashtra KJ College of Engineering and Management Research Pune Faculty of Management Studies (CMS Business School) Jain Deemed to be University Department of Computer Science and Engineering Bharati Vidyapeeth’s College of Engineering Delhi Delhi Department of Computer Science and Business Systems R.M.K Engineering College Thiruvallur

ISBN: (数字)9798331508685

ISBN: (纸本)9798331519476

Blockchain, initially developed as the underlying technology for Bitcoin, has garnered significant attention for its applications beyond cryptocurrency, particularly in complex non-monetary domains. Utilizing cryptographic methods like hashing and asymmetric encryption, combined with a distributed consensus model, Blockchain-based ledgers achieve high levels of security and immutability, effectively removing the need for third-party intermediaries. Meanwhile, the rapid growth in Internet of Things (IoT) devices being connected to networks raises substantial concerns around security and privacy. Addressing these security challenges is essential for the expanding IoT landscape. This paper explores the blockchain solution by integrating cryptocurrency with IoT for enhanced security, reviewing recent studies and applications to evaluate Blockchain's role in IoT security, pinpoint challenges, and propose Blockchain-driven solutions to improve security in the IoT ecosystem.

关键词： Privacy Ecosystems Focusing Bitcoin Reliability engineering Hardware Blockchains Safety Internet of Things security

来源：评论

学校读者我要写书评

暂无评论

Advanced ARP Attack Protection in SDNs Using Deep Learning Approach

Advanced ARP Attack Protection in SDNs Using Deep Learning A...

引用

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

作者： M. Anand Kumar Kamelsh Chandra Purohit Jaishankar Bhatt Girija Shankar Semuwal School of Information Science Presidency University Bengaluru India Department of Computer Science Graphic Era Deemed to be University Dehradun India Department of Media and Mass Communication Graphic Era Hill University Dehradun India

ISBN: (数字)9798350354348

ISBN: (纸本)9798350354355

Software Defined networks have developed as a transformative standard in network architecture, providing centralized control, and dynamic supervision of network resources. In recent past several advancements have been made to enhance the capabilities and efficiency of SDN models. A prominent development involves the incorporation of Software-Defined Networking with emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) to facilitate smarter and more adaptive network management. Additionally, advancements in SDN security have been a focal point, with the exploration of new techniques to detect and mitigate various types of cyber threats, including those specific to SDN environments However, the openness and flexibility of SDNs also expose them to security vulnerabilities, with Address Resolution Protocol (ARP) attacks being a prominent threat. This research paper investigates the critical challenges posed by most common ARP Protocol attacks such as spoofing attack and Denial-of-Service attacks in contemporary network environments. As these attacks persist as serious threats to network integrity and availability. This research paper explores the use of Deep Learning algorithms for the detection and mitigation of ARP assaults in SDN networks. This research paper presents an in-depth analysis of the challenges posed by ARP attacks in SDNs and propose a novel approach leveraging deep learning techniques for enhanced security. The proposed framework is evaluated through extensive simulations and real-world scenarios, demonstrating its effectiveness in preventing ARP spoofing and DoS attacks.

关键词： Deep learning Protocols Adaptive systems Accuracy Prevention and mitigation Denial-of-service attack security Software defined networking Protection Standards

来源：评论

学校读者我要写书评

暂无评论

Advancements in Suspicious and Violent Activity Recognition for Intelligent Video Surveillance

Advancements in Suspicious and Violent Activity Recognition ...

引用

Disruptive Technologies (ICDT), international conference on

作者： Niyati Rana Deepak Parashar Nilesh Bahadure Hetal Jethani Sudipta Banerjee Kanhaiya Sharma Department of Computer Scinece & Engineering GSFC University Vadodara Gujarat Gujarat India Dept. of CSE Symbiosis Institute of Technology Pune Symbiosis International Univesity Pune Maharashtra India

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

Recognition of suspicious or violent activity in video surveillance has become increasingly important in terms of public safety and security. This synthesis examined state-of-the-art methodologies for detecting anomalous human behaviors-such as machine learning, deep learning, and hybrid approaches. By analyzing key contributions across recent studies, we identify advancements in feature extraction, model architectures such as CNNs, LSTMs, and Conv3D, and their applications to datasets like UCF101 and custom video repositories. The comparative analysis shows promising aspects in terms of performance and reliability, with some techniques such as Time-distributed CNN getting accuracy improvements of over 90%. The issues of practical applications in a real-world scenario, problems with dealing with advanced datasets, and future research directions such as real-time implementation and ethical considerations were discussed. The present study provides an inclusive overview of the current trends in intelligent surveillance systems and the roadmap for innovations in the near future.

关键词： Deep learning Ethics Adaptation models computer architecture Streaming media Video surveillance Feature extraction Real-time systems Public security Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

CyberShield: Advanced Encryption and Decryption Techniques for Video Protection

CyberShield: Advanced Encryption and Decryption Techniques f...

引用

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

作者： Riddhi Mirajkar Nilesh Sable Dipak Palve Sayali Sontakke Department of Information Technology Vishwakarma Institute of Information Technology Pune India Department of Computer Science & Engineering (Artificial Intelligence) Vishwakarma Institute of Information Technology Pune India

With the increased usage of video communication technologies, the requirement for secure video data transfer has grown more critical than ever. Video encryption methods are critical in preventing unauthorized access to sensitive video data while it is provided across insecure networks. This study compares several video encryption algorithms, including symmetric and asymmetric key-based encryption methods. The goal of this research is to compare the security, computational complexity, and transmission overhead of several video encryption techniques. The research includes an examination of well-known encryption algorithms that include AES (Advanced Encryption Standard), RSA (Rivest-Shamir-Adelman) and DES (Data Encryption Standard), as well as variants on these techniques. Furthermore, this work offers a hybrid video encryption method that combines symmetric and asymmetric key-based encryption approaches to provide good security while being computationally simple. The experimental results reveal that the proposed method is more successful and effective than existing video encryption techniques. The suggested method used to secure video data communication over unsecured networks such as the internet, assuring the video data's secrecy, integrity, and authenticity.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Beetle Antennae Search-Based Sparrow Search Algorithm for Network Intrusion Detection

A Beetle Antennae Search-Based Sparrow Search Algorithm for ...

引用

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

作者： Ayub Baig R. Archana Reddy Muntather Muhsin Hassan Subramanya S G Hajari Manu Department of Infornation Technology Malla Reddy Engineering College for Women(UGC-Autonomous) Hyderabad India Department of Computer Science and Engineering SR University Warangal India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of CSE Nitte Meenakshi Institute of Technology Bengaluru India Department of AI&ML Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

Nowadays, the network Intrusion Detection System (IDS) is a crucial cybersecurity technique that predicts unauthorized access, and exploits malfunction of computer networks. Traditional IDS struggle with classifying multiple, varied attack patterns which often lead to poor performance in detecting critical threats. In order to improve detection accuracy, identify numerous attacks, developing an efficient system becomes crucial which handles imbalanced data. Thus, this paper presents an Adaptive network IDS that employs a hybrid approach by combining the Improved Beetle Antenna Search (BAS) Algorithm and the Sparrow Search Algorithm (SSA) to enhance detection accuracy and adaptability in identifying cyber threats on NSL-KDD and CSE-CIC-IDS2018 datasets. Additionally, a Bi-directional Long Short-Term Memory (Bi-LSTM) network is utilized to reduce the False Positive Rate (FPR) and increase the entire efficiency of the system by effectively overcoming the challenges such as imbalanced data and low detection rate. Experimental evaluations on benchmark intrusion datasets such as NSL-KDD and CSE-CIC-IDS2018 using proposed IBAS-SSA + Bi-LSTM demonstrate higher detection results with accuracy of 98.12% and 98.64% respectively, when compared to other traditional IDS methods.

关键词： Accuracy Bidirectional control NSL-KDD Solids Feature extraction computer networks computer security Long short term memory Optimization Faces

来源：评论

学校读者我要写书评

暂无评论

The Internet of Energy systems: Blockchain and Smart Contracts meet Federated Learning

The Internet of Energy Systems: Blockchain and Smart Contrac...

引用

IEEE international conference on Blockchain and Cryptocurrency (ICBC)

作者： Abdulrezzak Zekiye Öznur Özkasap Department of Computer Engineering Koç University Istanbul Türkiye

The Internet of Energy (IoE) is a distributed paradigm that integrates smart networks and Internet technology. In contrast to traditional centralized energy systems, distributed Energy Internet systems with multiple components and communication requirements necessitate innovative technologies for decentralization, reliability, efficiency and security. Novel blockchain architectures, smart contracts, and distributed federated learning technologies offer new opportunities for decentralized Energy Internet services. In this paper, we classify state-of-the-art solutions utilizing blockchain, smart contracts, and federated learning for the IoE domains. In this context, four representative system models are identified and discussed. These models demonstrate various ways in which blockchain, smart contracts, and federated learning can be integrated to support the main domains of IoE, namely distributed energy trading and sharing, smart microgrid energy networks, and electric and connected vehicle management.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Blockchain-enabled Intelligent Electronic Healthcare Platform

A Blockchain-enabled Intelligent Electronic Healthcare Platf...

引用

Blockchain Computing and Applications (BCCA), international conference on

作者： Ismaeel Al Ridhawi Ali Abbas Akshay Agrawal Muder Almiani School of Electrical Engineering and Computer Science University of Ottawa Canada Gulf University for Science and Technology Kuwait Kuwait College of Science and Technology Kuwait

ISBN: (数字)9798350351538

ISBN: (纸本)9798350351545

Healthcare frameworks have evolved over the decades with the advancements in technology. Patient disease prevention, diagnosis, treatment, and well-being in general have progressed tremendously with the support of Artificial Intelligence (AI), data science, and advances in networking and communication. The security of the healthcare system plays an important role in the robustness and integrity of patient healthcare records. The use of intrusion detection and prevention plays a pivotal role in securing not only healthcare systems but also electronic health records. Today, traditional healthcare security frameworks that rely on conventional Intrusion Detection systems (IDS) and Intrusion Prevention systems (IPS) cannot cope with the vulnerability of complex cyber attacks that can jeopardize private patient information. Furthermore, healthcare frameworks are shifting towards distributed and decentralized architectures that conventional IDS and IPS solutions are incapable of protecting. With that said, in this paper we present a blockchain-enabled IDS framework to protect electronic healthcare systems, which uses a diversified set of centralized, distributed, and decentralized security measures to detect and prevent a plethora of cyber attacks. The system is designed to be adaptable and capable of finding new and developing threats. A data set is simulated on the basis of healthcare flows, access levels, and reason. The evaluation results show that the proposed IDS framework provides adequate results in improving security.

关键词： Prevention and mitigation Intrusion detection Robustness Electronic healthcare Blockchains security IP networks Electronic medical records Artificial intelligence Cyberattack

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 << < 60 61 62 63 64 65 66 67 68 69 > >>

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：