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Exploring QUIC Security and Privacy: A Comprehensive Survey on QUIC Security and Privacy Vulnerabilities, Threats, Attacks and Future Research Directions 探索 QUIC 安全与隐私:关于 QUIC 安全与隐私漏洞、威胁、攻击和未来研究方向的全面调查
IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-11 DOI: 10.1109/tnsm.2024.3457858
Y A Joarder, Carol Fung
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引用次数: 0
Efficient Queue Control Policies for Latency-Critical Traffic in Mobile Networks 移动网络延迟关键流量的高效队列控制策略
IF 4.7 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-11 DOI: 10.1109/TNSM.2024.3458390
Mohammed Abdullah;Salah Eddine Elayoubi;Tijani Chahed
We propose a novel resource allocation framework for latency-critical traffic, namely Ultra Reliable Low Latency Communications (URLLC), in mobile networks which meets stringent latency and reliability requirements while minimizing the allocated resources. The Quality of Service (QoS) requirement is formulated in terms of the probability that the latency exceeds a maximal allowed budget. We develop a discrete-time queuing model for the system, in the case where the URLLC reservation is fully-flexible, and when the reservation is made on a slot basis while URLLC packets arrive in mini-slots. We then exploit this model to propose a control scheme that dynamically updates the amount of resources to be allocated per time slot so as to meet the QoS requirement. We formulate an optimization framework that derives the policy which achieves the QoS target while minimizing resource consumption and propose offline algorithms that converge to the quasi optimal reservation policy. In the case when traffic is unknown, we propose online algorithms based on stochastic bandits to achieve this aim. Numerical experiments validate our model and confirm the efficiency of our algorithms in terms of meeting the delay violation target at minimal cost.
我们为移动网络中的延迟关键流量(即超可靠低延迟通信(URLLC))提出了一种新的资源分配框架,它既能满足严格的延迟和可靠性要求,又能最大限度地减少所分配的资源。服务质量(QoS)要求以延迟超过最大允许预算的概率来表示。在 URLLC 预留完全灵活的情况下,以及在 URLLC 数据包以插槽为单位到达时,我们为系统开发了一个离散时间排队模型。然后,我们利用这一模型提出一种控制方案,动态更新每个时隙分配的资源量,以满足 QoS 要求。我们制定了一个优化框架,推导出既能实现 QoS 目标又能最大限度减少资源消耗的策略,并提出了收敛到准最优预订策略的离线算法。在流量未知的情况下,我们提出了基于随机匪帮的在线算法来实现这一目标。数值实验验证了我们的模型,并确认了我们的算法在以最小成本满足延迟违规目标方面的效率。
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引用次数: 0
Survivable Payment Channel Networks 可存活的支付渠道网络
IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-10 DOI: 10.1109/tnsm.2024.3456229
Yekaterina Podiatchev, Ariel Orda, Ori Rottenstreich
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引用次数: 0
Time-Distributed Feature Learning for Internet of Things Network Traffic Classification 用于物联网网络流量分类的时间分布式特征学习
IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-10 DOI: 10.1109/tnsm.2024.3457579
Yoga Suhas Kuruba Manjunath, Sihao Zhao, Xiao-Ping Zhang, Lian Zhao
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引用次数: 0
DGS: An Efficient Delay-Guaranteed Scheduling Framework for Wireless Deterministic Networking DGS:无线确定性网络的高效延迟保证调度框架
IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-09 DOI: 10.1109/tnsm.2024.3456576
Minghui Chang, Haojun Lv, Yunqi Gao, Bing Hu, Wei Wang, Ze Yang
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引用次数: 0
Reliable Task Offloading in Sustainable Edge Computing With Imperfect Channel State Information 不完善信道状态信息下可持续边缘计算中的可靠任务卸载
IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-09 DOI: 10.1109/tnsm.2024.3456568
Peng Peng, Wentai Wu, Weiwei Lin, Fan Zhang, Yongheng Liu, Keqin Li
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引用次数: 0
Causal Genetic Network Anomaly Detection Method for Imbalanced Data and Information Redundancy 针对不平衡数据和信息冗余的因果遗传网络异常现象检测方法
IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-06 DOI: 10.1109/tnsm.2024.3455768
ZengRi Zeng, Xuhui Liu, Ming Dai, Jian Zheng, Xiaoheng Deng, Detian Zeng, Jie Chen
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引用次数: 0
MobiFi: Mobility-Aware Reactive and Proactive Wireless Resource Management in LiFi-WiFi Networks MobiFi:LiFi-WiFi 网络中的移动感知、反应式和主动式无线资源管理
IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-05 DOI: 10.1109/tnsm.2024.3455105
Hansini Vijayaraghavan, Wolfgang Kellerer
{"title":"MobiFi: Mobility-Aware Reactive and Proactive Wireless Resource Management in LiFi-WiFi Networks","authors":"Hansini Vijayaraghavan, Wolfgang Kellerer","doi":"10.1109/tnsm.2024.3455105","DOIUrl":"https://doi.org/10.1109/tnsm.2024.3455105","url":null,"abstract":"","PeriodicalId":13423,"journal":{"name":"IEEE Transactions on Network and Service Management","volume":"5 1","pages":""},"PeriodicalIF":5.3,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142187257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-Agent DRL-Based Two-Timescale Resource Allocation for Network Slicing in V2X Communications 基于 DRL 的多代理双时标资源分配用于 V2X 通信中的网络分片
IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-05 DOI: 10.1109/tnsm.2024.3454758
Binbin Lu, Yuan Wu, Liping Qian, Sheng Zhou, Haixia Zhang, Rongxing Lu
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引用次数: 0
A Deep Learning System for Detecting IoT Web Attacks With a Joint Embedded Prediction Architecture (JEPA) 利用联合嵌入式预测架构 (JEPA) 检测物联网网络攻击的深度学习系统
IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-09-05 DOI: 10.1109/tnsm.2024.3454777
Yufei An, F. Richard Yu, Ying He, Jianqiang Li, Jianyong Chen, Victor C.M. Leung
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引用次数: 0
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IEEE Transactions on Network and Service Management
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