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

605 篇 会议
104 篇 期刊文献
4 册 图书

馆藏范围

713 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

416 篇 工学
- 344 篇 计算机科学与技术...
- 297 篇 软件工程
- 137 篇 信息与通信工程
- 57 篇 控制科学与工程
- 41 篇 生物工程
- 38 篇 安全科学与工程
- 36 篇 电气工程
- 34 篇 电子科学与技术（可...
- 32 篇 生物医学工程（可授...
- 26 篇 交通运输工程
- 24 篇 动力工程及工程热...
- 21 篇 网络空间安全
- 20 篇 光学工程
- 16 篇 机械工程
- 15 篇 建筑学
- 14 篇 仪器科学与技术
160 篇 理学
- 84 篇 数学
- 46 篇 生物学
- 30 篇 物理学
- 23 篇 统计学（可授理学、...
- 18 篇 系统科学
- 14 篇 化学
121 篇 管理学
- 75 篇 管理科学与工程(可...
- 54 篇 图书情报与档案管...
- 40 篇 工商管理
53 篇 法学
- 35 篇 社会学
- 18 篇 法学
27 篇 医学
- 19 篇 公共卫生与预防医...
- 18 篇 基础医学(可授医学...
- 18 篇 临床医学
13 篇 经济学
9 篇 农学
8 篇 文学
7 篇 教育学
3 篇 军事学

主题

36 篇 accuracy
26 篇 security
24 篇 deep learning
24 篇 computational mo...
21 篇 protocols
19 篇 real-time system...
19 篇 feature extracti...
18 篇 access control
18 篇 machine learning
18 篇 cryptography
16 篇 support vector m...
16 篇 cloud computing
16 篇 data models
16 篇 training
15 篇 software
15 篇 privacy
14 篇 internet of thin...
14 篇 predictive model...
14 篇 convolutional ne...
13 篇 authentication

机构

9 篇 dept. of compute...
8 篇 dept. of compute...
8 篇 dept. of automat...
8 篇 dept. of softwar...
7 篇 dept. of automat...
7 篇 ufa state aviati...
6 篇 sejong universit...
5 篇 dept of cyber se...
5 篇 protocol enginee...
5 篇 sejong universit...
5 篇 dept. of cyber s...
5 篇 dept. of network...
5 篇 dept. of compute...
5 篇 dept of school o...
5 篇 university of th...
5 篇 american express...
5 篇 dept. of compute...
4 篇 department of cy...
4 篇 dept. of electri...
4 篇 computer science...

作者

11 篇 sandhu ravi
11 篇 jong-hyouk lee
8 篇 chen bing
8 篇 lee jong-hyouk
8 篇 vulfin alexey
7 篇 young-gab kim
6 篇 christos liaskos
6 篇 dimitrios tyrovo...
6 篇 krishnan ram
6 篇 nataliia zaiets
6 篇 lidiia vlasenko
6 篇 nataliia lutska
5 篇 sotiris ioannidi...
5 篇 vlasenko lidiia
5 篇 zou xiang
5 篇 hisham a. kholid...
5 篇 zaiets nataliia
5 篇 abdul sajid moha...
5 篇 george k. karagi...
5 篇 tengku mohd teng...

语言

658 篇 英文
50 篇 其他
3 篇 中文
1 篇 日文
1 篇 朝鲜文

检索条件"机构=Dept. of Cyber Security and Computer Engineering"

共 713 条记录，以下是1-10 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：

Framework for Cloud-Based Data Management in Autonomous Vehicles

Framework for Cloud-Based Data Management in Autonomous Vehi...

引用

2025 IEEE International Students' Conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Pallapothu, Harshith Gopi Krishna, G. Sunil, Digvijay Teja Yadav, S. Nagasundari, S. Pes University Dept. of Computer Science & Engineering Bengaluru India Research Center for Information Security Forensics and Cyber Resilience Pes University Dept. of Computer Science & Engineering Bengaluru India

ISBN: (纸本)9798331529833

The increasing adoption of autonomous vehicles has driven the need for robust data management solutions that support real-time operations and ensure vehicle safety and efficiency. This work introduces a cloud-based framework for management of sensor data from autonomous vehicles, focusing on optimizing payload transmission rates. The framework leverages AWS IoT Core and AWS IoT Analytics to ensure efficient data flow from vehicle sensors to cloud storage. This framework demonstrates its potential for scalable deployment in real-world autonomous vehicle networks, contributing to the evolution of connected vehicle technologies and intelligent transport systems. This framework ensures reliable data transmission up to 250 payloads per second, beyond which data loss occurs. © 2025 IEEE.

关键词： Cloud platforms

来源：评论

学校读者我要写书评

暂无评论

Enhancing IoT security Through Hardware security Modules (HSMs) 5

Enhancing IoT Security Through Hardware Security Modules (HS...

引用

5th International Conference on Intelligent Computing, Communication, Networking and Services, ICCNS 2024

作者： Khan, Mansoor Ilyas, Muhammad Bayat, Oguz Al ain University Dept. of Cyber Security Al ain United Arab Emirates Altinbas University Electrical and Computer Engineering Istanbul Turkey

ISBN: (纸本)9798350354690

Strong security measures must be integrated in an era where data security is critical, particularly for sensitive data handled by IoT devices. In order to strengthen Internet of Things security, the use of Hardware security Modules (HSMs) is investigated in this research. We examine the development and effectiveness of HSMs in boosting IoT security through a thorough study of the literature. Our results demonstrate the vital role that HSMs play in protecting cryptographic keys and thwarting any attacks. We explore the difficulties of incorporating HSMs into IoT environments and suggest practical approaches. This research concludes by highlighting the role that HSMs play in strengthening IoT security architecture. © 2024 IEEE.

关键词： Hardware security Modules HSMs IoT security

来源：评论

学校读者我要写书评

暂无评论

Leveraging Digital Twins for ON/OFF-LINE Blockchain Networks: A Resilient Framework for Drone and IoT Communication 39

Leveraging Digital Twins for ON/OFF-LINE Blockchain Networks...

引用

39th International Conference on Information Networking, ICOIN 2025

作者： Park, Seong Su Kim, Ki-Hyung Ajou University Suwon Dept. Computer Engineering Korea Republic of Ajou University Suwon Dept. Cyber Security Korea Republic of

ISBN: (纸本)9798331506940

In this paper, we propose a novel framework for leveraging digital twins to enhance ON/OFF-LINE blockchain networks in drone and IoT communication systems. The proposed solution addresses critical challenges in environments where internet connectivity is intermittent or restricted, such as construction sites, remote areas, or military operations. We present a resilient communication architecture that integrates Digital Twins (DTs) to mirror the state of offline blockchain nodes in the cloud, enabling efficient synchronization and reducing data conflicts when transitioning between online and offline states. The framework also introduces a method for efficient data management and secure, decentralized identity verification by using packaged certification with DID documents and selfcontained verifiable credentials. By maintaining a synchronized digital twin in the cloud, the proposed system ensures that offline nodes can operate independently while seamlessly integrating updates when connectivity is restored. © 2025 IEEE.

关键词： Signaling

来源：评论

学校读者我要写书评

暂无评论

Enhanced Intrusion Detection System Using Hybrid Harris Hawks Inspired Feature Selection For Efficient Network Intrusion Detection 1

Enhanced Intrusion Detection System Using Hybrid Harris Hawk...

引用

1st IEEE International Conference on Computing and Data Science, ICCDS 2024

作者： Kalaiselvi, B. Gogul, S. Siva, S. Dhineshkumar, R. Logeshwaran, M. Mahendra Engineering College Dept.of CSE Namakkal India Mahendra Engineering college Dept. Cyber Security Namakkal India

ISBN: (纸本)9798350365337

Anomaly-based Intrusion Detection Systems (IDS) playa crucial role in identifying network breaches by detecting deviations from baseline patterns. However, existing methods often struggle to accurately differentiate between normal and intrusive activities, leading to false alarms and increased vulnerability. To address this limitation, this paper proposes a novel approach. Firstly, data preprocessing and normalization are conducted, followed by feature extraction using Stacked Convolutional Denoising Autoencoder (SCDAE). Subsequently, a Hybrid-Harris Hawks optimization (HHO) algorithm is used for feature selection. Next, a CNN-BILSTM-Attention architecture is developed for classification, with softmax and fully connected layers. The proposed approach achieves performance metrics on the NSL-KDD dataset, including an accuracy of 99.67%, precision of 99.74%, Fl-score of 99.65%, and Detection Rate of 99.69%. These results demonstrate the efficacy of the proposed method in overcoming the limitations of existing techniques such as Deep Neural Network (DNN), Decision Tree (DT), Bilateral Long Short-Term Memory (BiLSTM), and Random Forest (RF). © 2024 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

security and Threat Detection through Cloud-Based Wazuh Deployment 1

Security and Threat Detection through Cloud-Based Wazuh Depl...

引用

1st IEEE Karachi Section Humanitarian Technology Conference, Khi-HTC 2024

作者： Moiz, Syed Majid, Abdul Basit, Abdul Ebrahim, Mansoor Abro, Abdul Ahad Naeem, Mehwish Iqra University Dept. of Computer Science Karachi Pakistan Dept. of Cyber Security Karachi Pakistan Indus University Dept. of Computer Science Karachi Pakistan Iqra University Dept. of Software Engineering Karachi Pakistan University Libre de Bruxelles Brussels Belgium

ISBN: (纸本)9798350373042

In today's interconnected business landscape, security is the cornerstone of all organizations, irrespective of their size or industry. This research emphasizes the critical need to safeguard organizational assets from cyber threats and highlights the pivotal role that firewalls play in fortifying network and cyber systems. The challenge lies in maintaining updated firewall defenses to prevent server downtime and the circumvention of security measures. To address these concerns, this study introduces a novel approach by integrating Cloud Wazuh, a user-friendly solution tailored for non-technical personnel, providing streamlined deployment and customizable security rules. Leveraging Wazuh suite of tools, particularly the Host-Based Intrusion Detection System (HIDS), the research detects and mitigates potential threats, including patterns associated with attacks such as Port Scanning, Denial of Service (DoS), and Metasploit. Additionally, Wazuh offers a range of features, from security Analytics to File Integrity Monitoring, to comprehensively protect against cyber threats. While implementing Cloud Wazuh may entail initial costs, it proves cost-effective compared to maintaining a dedicated IT security team. This research underscores how Cloud Wazuh deployment serves as a pivotal tool for organizations looking to strengthen their security measures, safeguard their data, and ensure uninterrupted operations in an increasingly digital and interconnected world. © 2024 IEEE.

关键词： cybersecurity

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-Based SBOM Defect Detection for Medical Devices 6

Deep Learning-Based SBOM Defect Detection for Medical Device...

引用

6th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2024

作者： Kim, Heeyeon Kim, Ki-Hyung Ajou University Dept. Knowledge Information Engineering Suwon Korea Republic of Ajou University Dept. Cyber Security Suwon Korea Republic of

ISBN: (纸本)9798350344349

This paper focuses on the digital innovation brought about by the advancement of ICT technology in the healthcare field. In particular, the introduction of cutting-edge technologies such as AI are contributing to the improvement of health care services, but at the same time, the risk of cybersecurity threats and software security problems in medical devices are emerging as well. Therefore, the importance of SBOM (Software Bill of Materials) to respond to such problems has now been emphasized, and this paper focuses on strengthening the cybersecurity of medical devices through the creation and application of SBOM. This study develops an AI-based software defect detection method and seeks to ensure the reliability and safety of medical devices by proposing an efficient method compared to existing rule-based approaches. This study aims to contribute to strengthening security by detecting flaws in medical devices through AI and establishing a technical foundation for providing ultimate quality healthcare services. © 2024 IEEE.

关键词： Defects

来源：评论

学校读者我要写书评

暂无评论

Literature Review on Packet Sniffing: Essential for cybersecurity & Network security 5

Literature Review on Packet Sniffing: Essential for Cybersec...

引用

5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024

作者： Shaw, Ranju Parveen, Suraiya Jamia Hamdard University Dept. of Computer Science Engineering with Specialization in Cyber Forensic Information Security Delhi India Faculty at Jamia Hamdard University Sest Department of Computer Science Engineering Delhi India

ISBN: (纸本)9798350385649

In the realm of cybersecurity and network security, the significance of monitoring and analyzing network traffic cannot be overstated Network packet sniffing, a technique employed to capture and inspect data packets traversing a network, has emerged as an imperative tool for understanding network behavior, identifying vulnerabilities, and enhancing overall security. This study analyzes packet sniffing by exploring its role in modern cybersecurity practices. By analyzing packet sniffing mechanisms, including its methodologies and potential applications, this res earch sheds light on its effectiveness as a proactive security solution. Furthermore, the study examines the ethical considerations surrounding packet sniffing, addressing concerns related to user privacy and data protection. It also investigates the legal aspects that govern the use of packet sniffing techniques, ensuring compliance with regulations while maximizing its benefits. Through case studies and real-world examples, this research illustrates how packet sniffing can be leveraged to detect network anomalies, thwart malicious activities, and fortify network infrastructures. By presenting a comprehensive overview of packet sniffing's capabilities and limitations, this study equips cybersecurity practitioners with the knowledge needed to make informed decisions about its integration into their defensive strategies. © 2024 IEEE.

关键词： cybersecurity

来源：评论

学校读者我要写书评

暂无评论

Learning Style Classification: An Efficient Modeling of DNN-PCA with Facial Expressions 2

Learning Style Classification: An Efficient Modeling of DNN-...

引用

2nd International Conference Computational and Characterization Techniques in engineering and Sciences, IC3TES 2024

作者： Gambo, Farouk Lawan Prassad, Rajesh Abdullahi, Aminu Aliyu Federal University Dutse Dept. of Cyber Security Jigawa Nigeria African University of Science and Technology Dept. of Computer Science Abuja Nigeria Federal University Dutse Dept. of Computer Science Jigawa Nigeria

ISBN: (纸本)9798350364699

Individual learning style offer insights to both students and teachers to effectively organize learning activities and materials accordingly to optimize learning process. Learning style defined students' preferred ways to assimilate new information. E-learning systems lacks personalize feedback unlike physical learning settings where student can physical interact with their teacher. However, modern e-learning systems employed the use of learner's model which essentially represents learners' behaviour for decisions making to provide personalization of learning environment. Many studies used alternate approaches in identifying learning style in various learning system through varying learner behavior in order to improve personalization in learning systems. This study proposes a novel approach that affirmed the roles of facial expression and Deep Neural Network with Principal Component Analysis toward improving accuracy of learning style detection. The development of this approach harmonize both steps form learning style detection process and classification techniques which follows;data collection, pre-processing, model selection, and evaluation. The findings of this research unveil an alternate approach that uses facial expressions and Deep Neural Network with Principal Component Analysis to detect learning style. The proposed approach avails and unlocks the potential using DNN with PCA toward improving of learning style detection with facial expression. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Simulation of an ARP Spoofing Attack on the E2 Interface in Open RAN 35

Simulation of an ARP Spoofing Attack on the E2 Interface in ...

引用

35th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2024

作者： Kim, Jihye Park, Jaehyoung Lee, Jong-Hyouk Sejong University Dept. of Computer and Information Security Seoul Korea Republic of Sejong University Dept. of Computer and Information Security & Convergence Engineering for Intelligent Drone Seoul Korea Republic of

ISBN: (纸本)9798350362244

In anticipation of the 5G-Advanced and 6G era, this paper explores Open RAN as an innovative solution to enhance the existing Radio Access Network (RAN) capabilities, particularly in managing the surge in mobile traffic. The O-RAN Alliance has made significant strides in this domain, particularly by releasing a comprehensive standard document addressing potential security threats and necessary countermeasures within Open RAN frameworks. A critical aspect of these standards is the emphasis on safeguarding the E2 interface-linking the NearRT RIC and RAN nodes-against Man-in-the-Middle (MitM) attacks, with IPsec proposed as a key defensive mechanism. Our study, however, reveals a vulnerability: the E2 interface remains susceptible to ARP spoofing, a variant of MitM attacks. This paper presents detailed simulation results to demonstrate this security flaw and delves into the potential ramifications on the E2 interface's functionality and integrity. Our findings underscore the need for revisiting and reinforcing security protocols in the evolving landscape of Open RAN networks. © 2024 IEEE.

关键词： Radio access networks

来源：评论

学校读者我要写书评

暂无评论

Cultural Algorithms Unveiled: A Comparative Analysis for Anomaly Detection 21

Cultural Algorithms Unveiled: A Comparative Analysis for Ano...

引用

21st International Learning and Technology Conference, L and T 2024

作者： Al-Tirawi, Anas Abumathkour, Raghda'A Miralam, Lamar Dar Al-Hekma University Dept. of Computer Science Jeddah Saudi Arabia Dar Al-Hekma University Dept. of Cyber Security Jeddah Saudi Arabia

ISBN: (纸本)9798350393569

Anomaly detection plays a pivotal role in network traffic and intrusion systems. Several Evolutionary Algorithms (EAs) have been employed to address this challenge. This paper presents a comparative analysis of various EAs, including the novel Common Value Auction, utilized in anomaly detection. To ensure a comprehensive comparison, we selected three key features as the basis for evaluating these EAs. This study thoroughly examines and contrasts multiple Evolutionary algorithms based on these features. The proposed analysis evaluates three distinct evolutionary algorithms in terms of three critical aspects of anomaly detection: Robustness, Scalability, and Sensitivity to Parameters. The results indicate that, compared to other evolutionary algorithms, the Common Value Auction evolutionary algorithm exhibits superior robustness, decreased sensitivity, and enhanced flexibility. Consequently, it holds better potential for leverage in anomaly detection. © 2024 IEEE.

关键词： Evolutionary 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72页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：