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Amplification/Reflection Attack Suppression Using Victim Separation 使用受害者分离抑制放大/反射攻击
Pub Date : 2023-04-05 DOI: 10.1109/LNET.2023.3264827
Hawa Singh Gurjar;Gaurav Somani
Amplification and reflection attacks represent flavors of DDoS attacks which use servers such as DNS, NTP, SNMP, SSDP and CoAP as amplifier to launch the attacks. In this letter, we describe a method to minimize the effects of reflection and amplification DDoS attacks by separating the victim service under the attack. We propose three approaches involving container level separation, packet limiting, and network hardware level separation. Our detailed experimental results on DNS based amplification attacks show a ‘near-no-attack’ performance with an improvement of up to 88% in the test completion time while using the proposed approaches.
放大和反射攻击是DDoS攻击的一种,它使用DNS、NTP、SNMP、SSDP和CoAP等服务器作为放大器来发动攻击。在这封信中,我们描述了一种通过分离攻击下的受害者服务来最小化反射和放大DDoS攻击影响的方法。我们提出了三种方法,包括容器级分离、数据包限制和网络硬件级分离。我们在基于DNS的放大攻击上的详细实验结果表明,在使用所提出的方法的测试完成时间内,“几乎没有攻击”的性能提高了高达88%。
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引用次数: 0
Fast Link Scheduling in Wireless Networks Using Regularized Off-Policy Reinforcement Learning 基于正则化非策略强化学习的无线网络快速链路调度
Pub Date : 2023-04-05 DOI: 10.1109/LNET.2023.3264486
Sagnik Bhattacharya;Ayan Banerjee;Subrahmanya Swamy Peruru;Kothapalli Venkata Srinivas
The centralized-link-scheduling problem in a wireless network graph involves solving the maximum-weighted-independent-set (MWIS) problem on the conflict graph. In this letter, we propose a novel regularized off-policy reinforcement learning-based MWIS solver and use for the scheduling problem. The proposed MWIS algorithm achieves 17% improvement over state-of-the-art heuristic solver KaMIS, 60% over greedy solver, 16% and 17% over RL-based solvers LwD and S2V-DQN, respectively. We show that our scheduler achieves stable throughput values 14% and 22% higher than LwD and a distributed greedy scheduler, respectively. We demonstrate the flexibility of our RL algorithm by modifying it to create a time-since-last-service-aware scheduler.
无线网络图中的集中式链路调度问题涉及解决冲突图上的最大加权独立集(MWIS)问题。在这封信中,我们提出了一种新的基于规则化策略外强化学习的MWIS求解器,并用于调度问题。所提出的MWIS算法分别比最先进的启发式求解器KaMIS提高了17%,比贪婪求解器提高了60%,比基于RL的求解器LwD和S2V-DQN分别提高了16%和17%。我们表明,我们的调度器实现了稳定的吞吐量值,分别比LwD和分布式贪婪调度器高14%和22%。我们通过修改RL算法来创建一个自上次服务感知调度器以来的时间,展示了RL算法的灵活性。
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引用次数: 0
Federated Kalman Filter for Secure IoT-Based Device Monitoring Services 安全物联网设备监控服务的联邦卡尔曼滤波
Pub Date : 2023-04-05 DOI: 10.1109/LNET.2023.3264622
Marc Jayson Baucas;Petros Spachos
Device monitoring services have increased in popularity with the evolution of recent technology and the continuously increased number of Internet of Things (IoT) devices. Among the popular services are the ones that use device location information. However, these services run into privacy issues due to the nature of data collection and transmission. In this letter, we introduce a platform incorporating Federated Kalman Filter (FKF) with a federated learning approach and private blockchain technology for privacy preservation. We analyze the accuracy of the proposed design against a standard Kalman Filter (KF) implementation of localization based on the Received Signal Strength Indicator (RSSI). The experimental results reveal significant potential for improved data estimation for RSSI-based localization in device monitoring.
随着最近技术的发展和物联网(IoT)设备数量的不断增加,设备监控服务越来越受欢迎。在流行的服务中有使用设备位置信息的服务。然而,由于数据收集和传输的性质,这些服务遇到了隐私问题。在这封信中,我们介绍了一个平台,该平台将联邦卡尔曼滤波器(FKF)与联邦学习方法和用于隐私保护的私有区块链技术相结合。我们针对基于接收信号强度指示器(RSSI)的定位的标准卡尔曼滤波器(KF)实现来分析所提出的设计的准确性。实验结果揭示了在设备监测中改进基于RSSI的定位数据估计的巨大潜力。
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引用次数: 0
Efficient Radio Resource Management for Future 6G Mobile Networks: A Cell-Less Approach 未来6G移动网络的高效无线电资源管理:无蜂窝方法
Pub Date : 2023-04-03 DOI: 10.1109/LNET.2023.3263926
Farinaz Kooshki;Md Arifur Rahman;Md Munjure Mowla;Ana García Armada;Adam Flizikowski
Existing mobile communication systems are unable to support ultra high system capacity and high reliability for the edge users of future 6G systems, which are envisioned to guarantee the desired quality of experience. Recently, cell-less radio access networks (RAN) are exploited to boost the system capacity. Therefore, in this letter we propose a cell-less networking approach with an efficient radio resource optimization mechanism to improve the system capacity of the future 6G networks. The simulation results illustrate that the proposed cell-less NG-RAN design provides significant system capacity improvement over the legacy cellular solutions.
现有的移动通信系统无法为未来6G系统的边缘用户支持超高的系统容量和高可靠性,这是为了保证所需的体验质量。最近,无小区无线电接入网络(RAN)被用来提高系统容量。因此,在这封信中,我们提出了一种具有高效无线电资源优化机制的无小区网络方法,以提高未来6G网络的系统容量。仿真结果表明,与传统蜂窝解决方案相比,所提出的无小区NG-RAN设计提供了显著的系统容量改进。
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引用次数: 0
Resource-Intensive Fuzzing for MQTT Brokers: State of the Art, Performance Evaluation, and Open Issues MQTT代理的资源密集型模糊测试:技术现状、性能评估和开放问题
Pub Date : 2023-03-31 DOI: 10.1109/LNET.2023.3263556
Luis Gustavo Araujo Rodriguez;Daniel Macêdo Batista
Pub/sub messaging is a promising design pattern that relies on a centralized component called the broker, which routes messages to different devices. Due to its prominent role, the broker must be capable of providing high quality services under heavy workload. In this letter, we evaluate the resource consumption of state-of-the-art fuzzing frameworks, thereby understanding the degree to which brokers are tested before deployment. Our results attest that only one framework shows the most promise for memory-intensive testing, outperforming its counterparts by more than 20%. We conclude this letter by highlighting shortcomings that prevent existing frameworks from consuming considerable system resources.
Pub/sub消息传递是一种很有前途的设计模式,它依赖于一个名为broker的集中式组件,该组件将消息路由到不同的设备。由于其突出的作用,经纪人必须能够在繁重的工作量下提供高质量的服务。在这封信中,我们评估了最先进的模糊框架的资源消耗,从而了解了在部署之前对代理进行测试的程度。我们的结果证明,只有一个框架在内存密集型测试方面表现出了最大的前景,其性能优于同行20%以上。在结束这封信时,我们强调了阻碍现有框架消耗大量系统资源的缺点。
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引用次数: 0
6G Enablers for Zero-Carbon Network Slices and Vertical Edge Services 零碳网络切片和垂直边缘服务的6G推动者
Pub Date : 2023-03-29 DOI: 10.1109/LNET.2023.3262861
Raffaele Bolla;Roberto Bruschi;Chiara Lombardo;Beatrice Siccardi
6G of radio mobile networks should become an essential enabler for any vertical sector to meet sustainable growth targets of both the United Nations (UN) 2030 Agenda and the European Green Deal. 6G might lead to the dematerialization of (most of) any physical appliances, moving their smart parts to the network edge as virtual software instances. Such software instances can leverage on novel carbon-neutral schemes for computing and communication. Owing this vision, this letter aims to analyze how energy- and carbon-awareness can be introduced into the complex architecture of 6G, and how the diverse stakeholders in the 6G value-chain can benefit from this awareness.
6G无线移动网络应该成为任何垂直行业实现联合国(UN) 2030议程和欧洲绿色协议可持续增长目标的重要推动力。6G可能会导致(大多数)物理设备的非物质化,将其智能部件作为虚拟软件实例移动到网络边缘。这样的软件实例可以利用新的碳中性方案进行计算和通信。基于这一愿景,本文旨在分析如何将能源和碳意识引入6G的复杂架构,以及6G价值链中的不同利益相关者如何从这种意识中受益。
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引用次数: 0
A Framework to Define a Measurement-Based Model of MEC Nodes in the 5G System 定义 5G 系统中基于测量的 MEC 节点模型的框架
Pub Date : 2023-03-29 DOI: 10.1109/LNET.2023.3262760
Riccardo Fedrizzi;Cristina Emilia Costa;Fabrizio Granelli
Multi-access edge computing (MEC) represents an emerging solution to address the issues related to reliability, availability, context awareness and low latency in modern and future mobile networks. Despite the great interest and effort in developing MEC solutions, only a few works are available in the literature to model the existing trade-offs between available resources and the related performance of MEC nodes. This letter aims to fill this gap by proposing a measurement-based approach to indirectly derive an effective model for any type of MEC node, capable of capturing the existing trade-offs among different performance parameters. Basically, the idea is to characterize the input-output relationship between offered computational and communication load and achievable performance. A network emulator is used to generate the data to define the model. The results provide proof-of-concept of idea by analyzing the different trade-offs and achievable performance of a sample MEC node under CPU and networking limitations.
多接入边缘计算(MEC)是一种新兴的解决方案,可解决现代和未来移动网络中与可靠性、可用性、上下文感知和低延迟相关的问题。尽管人们对 MEC 解决方案的开发兴趣浓厚并付出了巨大努力,但文献中只有少数作品对 MEC 节点的可用资源和相关性能之间的现有权衡进行了建模。这封信旨在填补这一空白,提出了一种基于测量的方法,为任何类型的 MEC 节点间接推导出一个有效的模型,能够捕捉不同性能参数之间的现有权衡。从根本上说,我们的想法是描述所提供的计算和通信负载与可实现性能之间的输入输出关系。网络模拟器用于生成数据以定义模型。结果通过分析 CPU 和网络限制下 MEC 节点样本的不同权衡和可实现性能,证明了这一想法的概念。
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引用次数: 0
Leveraging UAV-RIS Reflects to Improve the Security Performance of Wireless Network Systems 利用无人机- ris反射来提高无线网络系统的安全性能
Pub Date : 2023-03-29 DOI: 10.1109/LNET.2023.3262885
Jianwei Sun;Heng Zhang;Xin Wang;Ming Yang;Jian Zhang;Hongran Li;Chenglong Gong
In this letter, a novel application method of reconfigurable intelligent surfaces (RIS) is proposed, which installs a RIS on an unmanned aerial vehicle (UAV) rather than fixed to buildings. When the location information of the eavesdropper is unknown, the UAV’s rapid deployment and RIS’s ability to change the transmission channel are utilized to dynamically optimize the UAV’s flight trajectory and RIS’s phase shift. The trajectory of the UAV and phase shift of the RIS are optimized to avoid the risk of potential eavesdropping and improve the average downlink secrecy rate of the system. This letter utilizes Q-learning and Deep Q-network (DQN) algorithms to solve the problem. Experiments show that RIS can reduce the flight distance of the UAV on the premise of ensuring security. The scenarios where the two algorithms are applicable are analyzed, and the DQN algorithm is more suitable for the scenarios of large state and action spaces. Also, the experimental results imply that the RIS-assisted UAV improves the average downlink secrecy rate and system security.
在这封信中,提出了一种可重构智能表面(RIS)的新应用方法,该方法将RIS安装在无人机上,而不是固定在建筑物上。当窃听者的位置信息未知时,利用无人机的快速部署和RIS改变传输通道的能力来动态优化无人机的飞行轨迹和RIS的相移。对无人机的轨迹和RIS的相移进行了优化,以避免潜在的窃听风险,并提高系统的平均下行链路保密率。这封信利用Q学习和深度Q网络(DQN)算法来解决这个问题。实验表明,RIS可以在保证安全的前提下缩短无人机的飞行距离。分析了这两种算法适用的场景,DQN算法更适合于大状态和动作空间的场景。实验结果表明,RIS辅助无人机提高了平均下行保密率和系统安全性。
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引用次数: 1
Joint Optimization of the Partition and Scheduling of DNN Tasks in Computing and Network Convergence 计算与网络融合中DNN任务划分与调度的联合优化
Pub Date : 2023-03-28 DOI: 10.1109/LNET.2023.3260567
Zhenyu Zhang;Qin Li;Lu Lu;Da Guo;Yong Zhang
Computing and network convergence (CNC) is a new network architecture based on computing evolution and network integration. Deep Neural Networks (DNNs) inference imposes a heavy computational burden on mobile devices. In this letter, an end-edge-network-cloud (EENC) collaborative inference architecture is proposed to reduce the DNN inference latency and maximize the computing potential of the CNC. A heuristic Centralized DNN Task Offloading algorithm (CDTO) is proposed for the fine-grained partition and scheduling problems of multiple DNN inference tasks. The CDTO algorithm can significantly reduce the makespan of DNN inference tasks and effectively improve the concurrent capacity of DNN tasks.
计算与网络融合(CNC)是一种基于计算进化和网络集成的新型网络架构。深度神经网络(DNN)推理给移动设备带来了沉重的计算负担。在这封信中,提出了一种端边缘网络云(EENC)协同推理架构,以减少DNN推理延迟,最大限度地发挥CNC的计算潜力。针对多个DNN推理任务的细粒度划分和调度问题,提出了一种启发式的集中式DNN任务卸载算法(CDTO)。CDTO算法可以显著缩短DNN推理任务的完成时间,有效提高DNN任务的并发能力。
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引用次数: 0
EDI-Driven Multi-Dimensional Resource Allocation for Inclusive 6G Communications 基于edi驱动的包容性6G通信多维资源分配
Pub Date : 2023-03-28 DOI: 10.1109/LNET.2023.3262704
Wudan Han;Xianbin Wang;Jie Mei
This letter proposes a novel inclusive multi-dimensional resource allocation scheme for diverse 6G communications driven by the principle of Equity, Diversity, and Inclusion (EDI). In coping with challenges of ever-increasing device diversity and application Quality-of-Service (QoS) heterogeneity, the proposed scheme can inclusively support all users with equitable service provisioning satisfaction level and flexible multiple access. By jointly considering user-specific communication requirements and scenario-dependent resource utilization cost, we aim to maximize the average user utility while minimizing its distribution variance. Simulation demonstrates the proposed scheme can inclusively provide equitable user QoS satisfactions by higher average utility with smaller disparity and inequality.
这封信提出了一种新颖的包容性多维资源分配方案,以公平、多样性和包容性(EDI)原则为驱动,用于多样化的6G通信。在应对不断增加的设备多样性和应用服务质量(QoS)异构性的挑战时,所提出的方案可以以公平的服务提供满意度和灵活的多址接入包容性地支持所有用户。通过联合考虑用户特定的通信需求和场景相关的资源利用成本,我们的目标是最大化平均用户效用,同时最小化其分布方差。仿真结果表明,该方案可以在较小的差异和不平等的情况下,通过更高的平均效用,包容性地提供公平的用户QoS满意度。
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引用次数: 2
期刊
IEEE Networking Letters
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