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

4,788 篇 会议
146 册 图书

馆藏范围

4,934 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,239 篇 工学
- 1,743 篇 计算机科学与技术...
- 1,549 篇 信息与通信工程
- 941 篇 电气工程
- 14 篇 软件工程
- 8 篇 电子科学与技术（可...
- 5 篇 仪器科学与技术
- 4 篇 控制科学与工程
- 3 篇 网络空间安全
- 2 篇 动力工程及工程热...
- 2 篇 安全科学与工程
- 1 篇 机械工程
- 1 篇 环境科学与工程（可...
92 篇 管理学
- 90 篇 管理科学与工程(可...
- 4 篇 图书情报与档案管...
- 2 篇 工商管理
9 篇 理学
- 9 篇 数学
- 2 篇 统计学（可授理学、...
- 1 篇 系统科学
3 篇 法学
- 1 篇 法学
- 1 篇 社会学
- 1 篇 公安学

主题

479 篇 bandwidth
396 篇 delay
384 篇 computer science
367 篇 routing
337 篇 throughput
334 篇 quality of servi...
315 篇 protocols
302 篇 telecommunicatio...
278 篇 internet
268 篇 wireless sensor ...
260 篇 traffic control
234 篇 network topology
225 篇 ip networks
222 篇 routing protocol...
205 篇 intelligent netw...
199 篇 computer network...
188 篇 ad hoc networks
181 篇 costs
171 篇 switches
145 篇 performance anal...

机构

19 篇 department of co...
15 篇 chinese acad sci...
14 篇 temple univ dept...
13 篇 univ calif santa...
13 篇 tsinghua univ de...
12 篇 palo alto resear...
11 篇 univ texas dept ...
10 篇 nanjing univ sta...
10 篇 computer enginee...
10 篇 department of el...
10 篇 department of el...
10 篇 department of co...
10 篇 univ massachuset...
9 篇 iowa state univ ...
9 篇 univ notre dame ...
9 篇 penn state univ ...
8 篇 georgia state un...
8 篇 univ chinese aca...
8 篇 department of co...
8 篇 school of comput...

作者

19 篇 wu jie
19 篇 shen haiying
16 篇 j.j. garcia-luna...
14 篇 zaigham mahmood
11 篇 haiying shen
11 篇 garcia-luna-acev...
10 篇 jie wu
10 篇 garcia-luna-acev...
10 篇 dharm singh jat
10 篇 wolf tilman
10 篇 tilman wolf
9 篇 jianping wu
9 篇 j. j. garcia-lun...
9 篇 k. makki
8 篇 m. gerla
8 篇 chunming qiao
8 篇 j. harms
8 篇 yu wei
8 篇 choi baek-young
8 篇 yang yy

语言

4,903 篇 英文
30 篇 中文
1 篇 其他

检索条件"丛书名=Computer Communications and Networks"

共 4934 条记录，以下是51-60 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：

Trusting the Cloud-Native Edge: Remotely Attested Kubernetes Workers 33

Trusting the Cloud-Native Edge: Remotely Attested Kubernetes...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Thijsman, Jordi Sebrechts, Merlijn De Turck, Filip Volckaert, Bruno Ghent Univ Imec Dept Informat Technol IDLab Ghent Belgium

ISBN: (纸本)9798350348439;9798350384611

A Kubernetes cluster typically consists of trusted nodes, running within the confines of a physically secure datacenter. With recent advances in edge orchestration, this is no longer the case. This poses a new challenge: how can we trust a device that an attacker has physical access to? This paper presents an architecture and open-source implementation that securely enrolls edge devices as trusted Kubernetes worker nodes. By providing boot attestation rooted in a hardware Trusted Platform Module, a strong base of trust is provided. A new custom controller directs a modified version of Keylime to cross the cloud-edge gap and securely deliver unique cluster credentials required to enroll an edge worker. The controller dynamically grants and revokes these credentials based on attestation events, preventing a possibly compromised node from accessing sensitive cluster resources. We provide both a qualitative and a quantitative evaluation of the architecture. The qualitative scenarios prove its ability to attest and enroll an edge device with role-based access control (RBAC) permissions that dynamically adjust to attestation events. The quantitative evaluation reflects an average of 10.28 seconds delay incurred on the startup time of the edge node due to attestation for a total average enrollment time of 20.91 seconds. The presented architecture thus provides a strong base of trust, securing a physically exposed edge device and paving the way for a robust and resilient edge computing ecosystem.

关键词： remote attestation TPM measured boot secure boot edge node enrollment k8s

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis for Underwater Video Transmission with Imperfect Resampling 33

Performance Analysis for Underwater Video Transmission with ...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Hegazy, Rana Milstein, Laurence Cosman, Pamela

ISBN: (纸本)9798350348439;9798350384611

Large Doppler shifts are a challenge in underwater wireless acoustic communication compared to terrestrial wireless radio communication. Resampling and Doppler shift compensation are used at the receiver to counteract the effect of the Doppler shift introduced during transmission. Imperfect resampling can degrade system performance. While the conventional choice of Doppler compensation factor minimizes the intercarrier interference (ICI) around the central subcarrier, we show that using a Doppler compensation factor that treats lower subcarriers preferentially in terms of ICI can significantly improve the system performance in the case of imperfect resampling. Two ad-hoc schemes are proposed in the paper to find suitable Doppler compensation factors for a given Doppler factor and percentage of error in the resampling factor. The knowledge of these parameters facilitates the performance analysis of the schemes, rather than focusing on design aspects. The proposed schemes are tested for various relative vehicular speeds. In addition, different Doppler factors for the paths are considered. In all cases, our proposed schemes achieve higher video peak-signal-to-noise ratio compared to conventional schemes.

关键词： Underwater communications Doppler shift compensation Video transmission Cross-layer optimization

来源：评论

学校读者我要写书评

暂无评论

Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach 33

Redefining DDoS Attack Detection Using A Dual-Space Prototyp...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Martinez, Fernando Mapkar, Mariyam Alfatemi, Ali Rahouti, Mohamed Xin, Yufeng Xiong, Kaiqi Ghani, Nasir Fordham Univ Comp & Informat Sci Dept Bronx NY 10023 USA UNC Chapel Hill RENCI Chapel Hill NC 27517 USA Univ S Florida Cyber Florida Tampa FL 33617 USA Univ S Florida Elect Engn Dept Tampa FL 33617 USA

ISBN: (纸本)9798350348439;9798350384611

Distributed Denial of Service (DDoS) attacks pose an increasingly substantial cybersecurity threat to organizations across the globe. In this paper, we introduce a new deep learning-based technique for detecting DDoS attacks, a paramount cybersecurity challenge with evolving complexity and scale. Specifically, we propose a new dual-space prototypical network that leverages a unique dual-space loss function to enhance detection accuracy for various attack patterns through geometric and angular similarity measures. This approach capitalizes on the strengths of representation learning within the latent space (a lower-dimensional representation of data that captures complex patterns for machine learning analysis), improving the model's adaptability and sensitivity towards varying DDoS attack vectors. Our comprehensive evaluation spans multiple training environments, including offline training, simulated online training, and prototypical network scenarios, to validate the model's robustness under diverse data abundance and scarcity conditions. The Multilayer Perceptron (MLP) with Attention, trained with our dual-space prototypical design over a reduced training set, achieves an average accuracy of 94.85% and an F1-Score of 94.71% across our tests, showcasing its effectiveness in dynamic and constrained real-world scenarios.

关键词： Deep learning DDoS attack Few-shot learning Representation learning Security

来源：评论

学校读者我要写书评

暂无评论

Cooperative Task Offloading for Multi-Access Edge-Cloud networks: A Multi-Group Multi-Agent Deep Reinforcement Learning 33

Cooperative Task Offloading for Multi-Access Edge-Cloud Netw...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Suzuki, Akito Kobayashi, Masahiro Old, Eiji NTT Corp Network Serv Syst Labs Tokyo Japan Kyoto Univ Grad Sch Informat Kyoto Japan

ISBN: (纸本)9798350348439;9798350384611

Cloud computing (CC) and edge computing (EC) enhance the performance of end devices (EDs) with limited computational power by offloading tasks to cloud and edge servers, respectively. Multi-access edge computing (MEC) further advances EC by integrating wireless network resources, thus improving mobile service efficiency. While CC is well-suited for intensive computational tasks, it may face latency issues due to geographical distances. EC and MEC aim to minimize this latency by deploying server resources closer to EDs, but they encounter challenges due to the limited resources of edge servers. Cooperative task offloading emerges as a solution to address the above challenges of optimizing resource allocation across cloud and edge based on task characteristics. Despite numerous research, existing methods often cover only a portion of the networks and servers, leading to sub-optimal task allocation. Therefore, we propose a cooperative task-offloading method for multi-access edge-cloud networks, simultaneously considering server and link resources, base station (BS), and wireless channel allocation. This method improves task-offloading efficiency by utilizing cooperative multi-group multi-agent deep reinforcement learning (CMG-MADRL) with different agent groups for BS and server allocation. Simulations have demonstrated that our method effectively reduces resource utilization and task latency while minimizing constraint violations.

关键词： Cloud computing multi-access edge computing deep reinforcement learning task offloading

来源：评论

学校读者我要写书评

暂无评论

Big Data Quality Scoring for Structured Data Using MapReduce 33

Big Data Quality Scoring for Structured Data Using MapReduce

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Wu, Yalong Dhamodharan, Shalini Ghattamaneni, Vinuthna Kokila, Narmada Pathakamuri, Chandrika Carter, Timothy Tian, Pu Sha, Kewei Univ Houston Clear Lake Dept Comp Sci Houston TX 77058 USA Stockton Univ Sch Business Galloway NJ 08205 USA Univ North Texas Dept Informat Sci Denton TX 76203 USA

ISBN: (纸本)9798350348439;9798350384611

In the current big data landscape, where data forms the cornerstone of myriad applications, it is crucial to establish the reliability and credibility of application outcomes through the prism of high-quality data. Nonetheless, data quality has been facing significant evaluation challenges due to the exponential increase in data volume and diversity. This paper introduces a novel big data quality scoring (BDQS) model, which is particularly designed for assessing the quality of large-scale datasets within the Hadoop MapReduce ecosystem. Unlike other models that either focus on smaller datasets or rely on sampling techniques, BDQS excels in providing comprehensive data quality assessment for substantial data sources. Specifically, BDQS identifies accuracy, completeness, consistency, timeliness, and correlation as critical dimensions of data quality, scores each dimension on a scale of 0 to 100, and derives an aggregate data quality score through binomial testing and standard normalization of these scores. This research advances a potent model for big data quality assessment and offers valuable insights for enhancing the reliability and applicability of large-scale datasets across various sectors.

关键词： Big data quality scoring MapReduce data quality dimensions standard normalization aggregate data quality score

来源：评论

学校读者我要写书评

暂无评论

Downlink STBC-GSSK and STBC-UAV Assisted NOMA for 6G and Beyond 33

Downlink STBC-GSSK and STBC-UAV Assisted NOMA for 6G and Bey...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Bal, Anindya Chowdhury, Sumit Cai, Haofan Univ Hawaii Manoa Elect & Comp Engn Honolulu HI 96822 USA

ISBN: (纸本)9798350348439;9798350384611

Since only a portion of the overall transmit power is reserved in non-orthogonal multiple access (NOMA), cell edge users have slightly reduced spectral density. As a result, the coupled users in NOMA have a limited performance. We tackle this problem after suggesting a totally new scheme called space time block coding with generalized space shift keying (STBC-GSSK) and STBC unnamed aerial vehicle (STBC-UAV) with NOMA compatibility. The proposed scheme's spectral efficiency and outage performance were evaluated and compared to STBC-NOMA and GSSK-NOMA. The STBC-GSSK NOMA strategy has been seen to surpass all other schemes.

关键词： STBC-GSSK STBC-UAV outage probability spectral efficiency

来源：评论

学校读者我要写书评

暂无评论

Hide-and-Seek: Data Sharing with Customizable Machine Learnability and Privacy 33

Hide-and-Seek: Data Sharing with Customizable Machine Learna...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Xu, Hairuo Shu, Tao Auburn Univ Dept Comp Sci & Software Engn Auburn AL 36849 USA

ISBN: (纸本)9798350348439;9798350384611

With the immense amount of publicly available data online, many companies and research institute are able to download the online data for free and train the machine learning models which will finally result in products that would enhance our everyday life. While enjoying the advantages of such large amount of free data, people (data providers or data owners) have the concern that their personal data may be crawled without the owner's consent. This brings out an underlying issue in the context of machine learning that in the current literature and applications, dataset owners (also referred to as "dataset providers" in the following text) can only choose between the two extreme decisions of either to share their data entirely, or not share any of their data at all. Another side of this issue is that the privacy of the dataset to be shared is either completely revealed due to the full disclosure of the dataset, which benefits the potential consumers of the dataset (referred to as dataset user/buyer in the following text);or the dataset is not shared at all which preserves the privacy, but impede the development of new technologies. In this paper, we propose the novel Hide-and-Seek data sharing framework that serves as a middle point between the difficult "share or no share" extreme decisions, which provides a "partial share" option based on the consumers' needs, and hence is able to protect the partial privacy of the dataset providers while sharing enough amount of data needed for the user to train their models at a desired accuracy. Extensive amount of experiments have been conducted on the CIFAR-10, Street View House Number (SVHN), and the CIFAR-100 datasets. Our experimental results verify the effectiveness of the proposed Hide-and-Seek framework. We also show in the experiments that our framework is able to protect data provider's privacy without changing the visual patterns of the dataset, and therefore, doesn't affect the regular usage of the data (such as using

关键词： Hide-and-Seek Multi-level Data Sharing Privacy-Preserving Unlearnable Dataset Dataset Recovery

来源：评论

学校读者我要写书评

暂无评论

Comparing Space Versus Surface Gateways for Internetworking pLEO Satellite networks 33

Comparing Space Versus Surface Gateways for Internetworking ...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Ko, Allan Shake, Thomas Amin, Rahul MIT Lincoln Lab 244 Wood St Lexington MA 02173 USA

ISBN: (纸本)9798350348439;9798350384611

Multiple governments and companies are deploying massive scale "proliferated Low Earth Orbit" (pLEO) satellite networks consisting of hundreds to thousands of satellites and promising low-latency global connectivity. However, no architecture currently exists for internetworking independently managed pLEO networks. We construct a model of two representative pLEO networks and compare performance metrics under two architectures: interconnecting via surface gateways versus space-based gateway satellites. We also formulate and evaluate two algorithms for establishing links between gateways and pLEO networks: (1) a latency-optimal algorithm, and (2) an algorithm that reduces link switching (reducing handovers and outages). By evaluating scenarios of 1 to 50 gateways, we find that surface gateways enable up to 8.4 ms lower mean inter-network latency than space gateways, but space gateways may provide up to 7x more inter-network capacity and up to 6.4x reduction in link switch rate. Furthermore, our link selection algorithm for reducing link switching in space gateways is shown to achieve a 3x reduction in link switch rate at the cost of a 6.9 ms increase in mean user-to-user latency. We discuss the tradeoffs between space and surface gateways and identify future research needs to enable interconnection of independent pLEO networks.

关键词： satellite networks LEO internetworking

来源：评论

学校读者我要写书评

暂无评论

Advanced DDoS Attack Classification using Ensemble Model with Meta-Learner 33

Advanced DDoS Attack Classification using Ensemble Model wit...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Kumar, Ankith Indra Ishigaki, Genya San Jose State Univ Dept Comp Sci San Jose CA 95192 USA

ISBN: (纸本)9798350348439;9798350384611

In response to the security threats posed by Distributed Denial of Service (DDoS) attacks, this paper presents an intrusion detection framework with a high-accuracy multi-class classification model. In addition to the detection of the existence of DDoS attacks, our framework aims to identify a type of attack (e.g., protocol or message type) so that the system can select the most appropriate countermeasure against the DDoS type. We leverage a meta-learner to build an ensemble model of multiple machine learning models such as LSTM, RF, and KNN to enhance detection and classification accuracy. Tested on the CIC-DDoS 2019 dataset, the proposed model archives 96% accuracy in the type identification task, while a simple combination of the existing detection classifiers only achieves 92% accuracy in the same type identification.

关键词： Network Intrusion Detection Distributed Denial of Service Ensemble Learning Meta-Learner

来源：评论

学校读者我要写书评

暂无评论

RAPID: Reinforcement Learning-Aided Femtocell Placement for Indoor Drone Localization 33

RAPID: Reinforcement Learning-Aided Femtocell Placement for ...

引用

33rd IEEE International Conference on computer communications and networks (ICCCN)

作者： Famili, Alireza Tabrizian, Amin Atalay, Tolga Stavrou, Angelos Wei, Peng WayWave Inc Fairfax VA 22032 USA George Washington Univ Dept Comp Sci Washington DC USA Virginia Tech Dept Elect & Comp Engn Blacksburg VA USA

ISBN: (纸本)9798350348439;9798350384611

Mobile networks are swiftly advancing to accommodate the burgeoning spectrum of applications. The architecture of 5G networks integrates the principle of network slices, logically isolated end-to-end segments tailored to offer specific services. In this architectural schema, drones have emerged as a significant service category. Achieving the successful deployment of drone networks is heavily contingent upon the ability to accurately localize them in a three-dimensional (3D) setting, beyond the critical requirement for tight latency control. Transitioning from 4G to 5G, these networks are characterized by their operation at elevated frequency spectrums and more densely packed deployment configurations. Within such environments, the task of ensuring precise indoor localization poses a significant challenge, primarily due to the distinctive signal behavior at higher frequencies. To achieve this goal, we propose the RAPID framework, utilizing foundational principles from the third-generation partnership project (3GPP) to design a radio access network (RAN) that includes 5G femtocells. This architecture aims to shift positioning responsibilities from outdoor base stations (BSs) to improve indoor localization performance. Our study's principal contribution is the demonstration of how the spatial distribution of 5G femtocells significantly influences the accuracy of drone positioning. To address the challenges inherent in femtocell deployment, we develop an innovative optimization framework coupled with a deep reinforcement learning (DRL) strategy, aimed at solving the NP-hard problem. Our findings reveal that adopting our DRL-based placement strategy significantly improves positioning accuracy compared to regular arbitrary deployment approaches.

关键词： indoor positioning autonomous vehicles drones 5G femtocell GDOP optimal placement RL

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494页 << < 2 3 4 5 6 7 8 9 10 11 > >>

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：