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2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)最新文献

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A New Low-rate DoS Attack Method Robust to Timing Skew for TCP Short Transfers 一种针对TCP短传输的低速率DoS攻击方法
Pub Date : 2023-07-04 DOI: 10.1109/ICUFN57995.2023.10201096
Ryuku Hisasue, H. Inamura, S. Ishida
It is posited that Low-rate DoS (LDoS) attack against TCP short transfer has not yet been studied. Since LDoS attacks use pulse-shaped attack traffic, the probability of an attack pulse colliding with the targeted traffic is low when the transfer time is short. In this study, we investigated the feasibility of the Shrew LDoS method against short transfers. In the Shrew method, the time difference between the targeted traffic and the attack traffic, i.e., the attack timing skew, has a large impact on the attack effectiveness for short transfers. Therefore, we proposed the First-Attack Pulse Width Expansion Shrew (Fawe-Shrew) method to improve the attack effectiveness in the presence of this skew. We confirmed that the proposed method has increased tolerance of the skew in the attack initiation timing.
目前,针对TCP短传输的低速率DoS (Low-rate DoS, LDoS)攻击尚未得到研究。由于LDoS攻击采用脉冲型攻击流量,因此在传输时间较短的情况下,攻击脉冲与目标流量碰撞的概率较低。在这项研究中,我们研究了Shrew LDoS方法在短时间传输中的可行性。在Shrew方法中,目标流量与攻击流量的时间差,即攻击时间偏差,对短传输的攻击效果影响较大。因此,我们提出了第一攻击脉冲宽度扩展鼩(Fawe-Shrew)方法来提高这种歪斜存在下的攻击效率。我们证实,该方法增加了对攻击起始时间偏差的容忍度。
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引用次数: 0
Challenges in promoting the Internet of Things Ecosystem for a government 政府推动物联网生态系统的挑战
Pub Date : 2023-07-04 DOI: 10.1109/ICUFN57995.2023.10199849
Wasinee Noonpakdee
The Internet of Things (IoT) has been receiving significant attention from academia, industry, and society due to its diverse range of applications. The IoT ecosystem is composed of different actors, each with a unique role and position. In Thailand, IoT ecosystem could help drive Thailand 4.0 policy that aims to unlock the country from several economic challenges. This paper presents challenges of promoting IoT Ecosystem in Thailand, and propose recommendations for addressing these challenges. The focus group interviews were conducted in five different regions of Thailand: North, East, Northeast, South, and Center. According to the analysis, challenges are addressed in the aspects of Strategy, Stakeholders, Human Resource, R&D and Innovation, Security & Privacy, Infrastructure & Platform, and Government Support. Based on the findings, recommendations for promoting IoT ecosystem in Thailand were proposed, which can be used as a guideline to support the country’s Thailand 4.0 policy for economic development in a rapidly changing environment.
物联网(IoT)由于其广泛的应用范围而受到学术界、工业界和社会的广泛关注。物联网生态系统由不同的参与者组成,每个参与者都有独特的角色和地位。在泰国,物联网生态系统可以帮助推动泰国4.0政策,旨在使该国摆脱一些经济挑战。本文提出了在泰国推广物联网生态系统的挑战,并提出了应对这些挑战的建议。焦点小组访谈在泰国的五个不同地区进行:北部、东部、东北部、南部和中部。根据分析,在战略、利益相关者、人力资源、研发和创新、安全与隐私、基础设施和平台以及政府支持方面面临挑战。根据调查结果,提出了促进泰国物联网生态系统的建议,可作为指导方针,支持该国在快速变化的环境中实施泰国4.0政策以促进经济发展。
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引用次数: 0
Design of Precision Medicine Web-service Platform Towards Health Care Digital Twin 面向医疗保健数字孪生的精准医疗web服务平台设计
Pub Date : 2023-07-04 DOI: 10.1109/ICUFN57995.2023.10199942
Shivani Sanjay Kolekar, Haoyu Chen, Kyungbaek Kim
Recently, there has been a growing interest in researching and developing personalized medical AI services. The previous AI medical systems rarely provided model output compared to multiple datasets and AI models. Currently, only few medical AI systems offer integrated platforms for multidisciplinary precision medicine services. Most existing medical AI systems include AI prognosis with a singular discipline in focus, such as elderly healthcare. This paper proposes a novel digital twin-based integrated precision medicine web-services platform. Our proposed system architecture can be easily implemented in hospital organization interfaces because of the ensured platform independence. Based on the prognostic requirements, we design the service interface with a broad spectrum of patient medical parameter selection (survival time, vital signs, etc.) made available for each medical service. The data related to each patient can be effortlessly updated in real-time. The services will predict and evaluate the accuracy of the visualized output along with the patient clinical information. To verify the feasibility of the proposed architecture, we implemented it with different AI medical services, such as 5 year lung cancer survival prediction, survival analysis with lung tumor segmentation and rapid response analysis. We observed that the architecture showed excellent performance. The architecture for this comprehensive precision medicine web-service platform (Comp-Med) is highly efficient and flexible. It is easily extensible to the new features, services, and updates that may get accommodated in the future.
最近,人们对研究和开发个性化医疗人工智能服务的兴趣越来越大。与多个数据集和人工智能模型相比,以前的人工智能医疗系统很少提供模型输出。目前,只有少数医疗人工智能系统提供多学科精准医疗服务的集成平台。大多数现有的医疗人工智能系统都包括专注于单一学科的人工智能预测,例如老年医疗保健。提出了一种基于数字孪生的集成精准医疗网络服务平台。由于保证了平台的独立性,我们提出的系统架构可以很容易地在医院组织接口中实现。根据预后需求,我们设计了服务接口,为每个医疗服务提供了广泛的患者医疗参数选择(生存时间、生命体征等)。与每位患者相关的数据可以毫不费力地实时更新。该服务将预测和评估可视化输出以及患者临床信息的准确性。为了验证所提出架构的可行性,我们将其应用于不同的AI医疗服务中,例如肺癌5年生存预测、肺肿瘤分割的生存分析和快速反应分析。我们观察到该体系结构表现出优异的性能。这个综合精准医疗网络服务平台(Comp-Med)的架构是高效和灵活的。它很容易扩展到将来可能包含的新特性、服务和更新。
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引用次数: 1
Self-Defined Protocols for Ubiquitous Networks 泛在网络的自定义协议
Pub Date : 2023-07-04 DOI: 10.1109/ICUFN57995.2023.10199543
I. Satoh
The paper presents a novel approach to the dynamic deployment of both networking and application software in ubiquitous networks. The proposed approach introduces the concept of first-class objects, enabling the dynamic construction and configuration of software components. This leads to the capability of dynamically deploying software components for defining both networking and application functions at nodes by utilizing network protocols specified within software components. The dynamic deployment improves the reliability and resilience of the network by actively managing network resources, configuring network components, and monitoring network conditions. Furthermore, the approach offers the added advantage of allowing the use of non-standard protocols, as components for defining protocols can be dynamically deployed at nodes using other component-based protocols.
本文提出了一种在泛在网络中动态部署网络和应用软件的新方法。该方法引入了一级对象的概念,实现了软件组件的动态构造和配置。这导致了动态部署软件组件的能力,通过利用软件组件中指定的网络协议来定义节点上的网络和应用程序功能。动态部署通过主动管理网络资源、配置网络组件和监控网络状况,提高了网络的可靠性和弹性。此外,该方法还提供了允许使用非标准协议的额外优势,因为用于定义协议的组件可以使用其他基于组件的协议在节点上动态部署。
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引用次数: 1
Dynamic Programming-Based Antenna Resource Allocation Algorithm for Wireless Powered Sensor Networks 基于动态规划的无线供电传感器网络天线资源分配算法
Pub Date : 2023-07-04 DOI: 10.1109/ICUFN57995.2023.10200695
Mingfu Li, G. Lu, Cheng-Bin Yao
In a wireless powered sensor network (WPSN), wireless sensors can receive energy from energy transmitters for operation. To improve the performance of the WPSN, the multisource wireless power transfer technique based on the beamforming multi-antenna architecture has emerged as an attractive solution. Thus, in this paper we consider the WPSN system which includes multiple wireless sensors and multiple multi-antenna energy transmitters. We proposed a dynamic programming-based antenna resource allocation algorithm, which takes the diverse distances among various energy transmitting antennas into account, for the radio frequency-based WPSN to maximize the energy transfer efficiency. According to the numerical results, the proposed dynamic programming-based antenna resource allocation algorithm can achieve near-optimal energy transfer efficiency while reducing the computation complexity significantly, compared with the backtracking algorithm which always achieves the optimal allocation but usually not tractable in practical scenarios.
在无线供电传感器网络(WPSN)中,无线传感器可以从能量发射器接收能量以进行工作。为了提高WPSN的性能,基于波束形成多天线结构的多源无线功率传输技术成为一种有吸引力的解决方案。因此,本文考虑了包含多个无线传感器和多个多天线能量发射器的WPSN系统。为了最大限度地提高WPSN的能量传输效率,提出了一种基于动态规划的天线资源分配算法,该算法考虑了不同能量发射天线之间的距离差异。数值结果表明,与回溯算法相比,本文提出的基于动态规划的天线资源分配算法可以实现接近最优的能量传递效率,同时显著降低了计算复杂度,而回溯算法在实际场景中总是能实现最优分配,但通常难以处理。
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引用次数: 1
A Selective TSCH Autonomous Cell Scheduling Technique Depending on the Power Supply 一种基于电源的选择性TSCH自治单元调度技术
Pub Date : 2023-07-04 DOI: 10.1109/ICUFN57995.2023.10200494
Jeongbae Park, Sang-Hwa Chung
IEEE 802.15.4 TSCH MAC uses time-sharing media access control and channel hopping technology to provide stable communication in an industrial environment. However, there is no scheduling technique defined by the standard. The Orchestra is an autonomous link-based cell scheduling technique in TSCH, but it has limitations such as link loss and delay time in high competition environments. ALICE addresses some of these limitations by creating links in both directions, but has the disadvantage of a high radio duty cycle proportional to the number of connected devices. When a device powered by a battery wants to connect, it generates a link using Orchestra, and a device that is supplied with constant power suggests using ALICE to generate a link. A TSCH SIM simulator was used to compare the performance of the Orchestra and ALICE networks, resulting in a 17.32% increase in PDR for the Orchestra network and a decrease in the duty cycle for battery-powered devices of up to 23.35% compared to ALICE.
IEEE 802.15.4 TSCH MAC采用分时媒体访问控制和信道跳频技术,在工业环境下提供稳定的通信。但是,该标准没有定义调度技术。Orchestra是TSCH中基于链路的自主单元调度技术,但在高竞争环境中存在链路丢失和延迟时间等限制。ALICE通过在两个方向上创建链路解决了其中的一些限制,但缺点是无线电占空比与连接设备的数量成正比。当一个由电池供电的设备想要连接时,它使用Orchestra生成一个链接,而一个有恒定电源的设备建议使用ALICE生成一个链接。使用TSCH SIM模拟器比较Orchestra和ALICE网络的性能,结果表明Orchestra网络的PDR比ALICE提高了17.32%,电池供电设备的占空比比ALICE降低了23.35%。
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引用次数: 1
Smart Block-based Route Guidence Technology for the Visually Impaired 视障人士基于智能块的路线引导技术
Pub Date : 2023-07-04 DOI: 10.1109/ICUFN57995.2023.10200567
J. Hwang, D. J. Lee, H. Y. Choi, B. H. Lee, C. G. Yu, S. C. Kim
The visually impaired are complaining of much inconveniences in moving at indoor area like metro station due to the restricted behavior and lack of guidance information. There are several route guidance services for the visually impaired through smartphone using the GPS signal, but these mobile apps cannot be used indoor areas because GPS signal can’t used. The smart block-based indoor route guidance technology was presented to improve the mobility of the visually impaired in indoor areas in this paper. The smart block is designed to check the location of the user indoors and installed on the floor. User positioning algorithm is performed on their smartphone using the location signal from smart block. In this paper, the proposed smart block, route guidance technology using it, and the results of empirical tests in actual railway stations are also represented. The smart block-based route guidance technology is expected to contribute greatly to the improvement of mobility of the visually impaired in indoor areas including railway stations.
视障人士抱怨,在地铁站等室内区域,由于行为受限和缺乏引导信息,给他们带来了很多不便。目前有几种通过智能手机使用GPS信号为视障人士提供的路线引导服务,但由于无法使用GPS信号,这些移动应用程序无法在室内区域使用。本文提出了一种基于智能块的室内路径引导技术,以提高视障人士在室内区域的移动能力。智能块被设计用于检查用户在室内的位置,并安装在地板上。使用来自智能块的位置信号在其智能手机上执行用户定位算法。本文还介绍了所提出的智能块及其路径引导技术,以及在实际火车站的实证测试结果。基于智能块的路线引导技术有望为改善包括火车站在内的室内视障人士的行动能力做出巨大贡献。
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引用次数: 1
In Search of Distance Functions That Improve Autoencoder Performance for Intrusion Detection 改进自编码器入侵检测性能的距离函数研究
Pub Date : 2023-07-04 DOI: 10.1109/ICUFN57995.2023.10200629
Rémi Bouchayer, Jae-Yun Jun, H. Chaouchi, Philippe Millet
Expectations of detection systems have risen with the increase in cyber-attacks. In order to detect the latest and future attacks, systems capable of detecting unknown attacks are needed. Among the various approaches offered by machine learning models, anomaly detection methods can address this need. It is possible to use the autoencoder to detect anomalies and therefore attacks. An autoencoder trained on data from normal use is able to detect attacks, unknown to the model. The attack detection is possible by observing the reconstruction error, which is the distance between the input and the reconstructed input resulting from the model. We considered different distance functions to improve the separation between attacks and normal events, and thus, to improve the performance of the autoencoder. We propose to use the cosine function of the angle formed between the actual input vector and the reconstructed input vector, as a distance function to address the problem of overlapping between normal events and attacks. In addition, we used Tree-structured Parzen Estimator algorithm for the optimization of the hyperparameters of the model. We ran our method on the NSL-KDD dataset and compared the obtained results to those of other methods that exist in the literature.
随着网络攻击的增加,人们对检测系统的期望也越来越高。为了检测最新和未来的攻击,需要能够检测未知攻击的系统。在机器学习模型提供的各种方法中,异常检测方法可以满足这一需求。可以使用自动编码器来检测异常,从而检测攻击。在正常使用的数据上训练的自动编码器能够检测到模型未知的攻击。通过观察重建误差,即模型产生的输入与重建输入之间的距离,可以进行攻击检测。我们考虑了不同的距离函数来改善攻击和正常事件之间的分离,从而提高自编码器的性能。我们建议使用实际输入向量和重建输入向量之间形成的夹角的余弦函数作为距离函数来解决正常事件和攻击之间的重叠问题。此外,我们使用树结构Parzen估计算法对模型的超参数进行优化。我们在NSL-KDD数据集上运行了我们的方法,并将获得的结果与文献中存在的其他方法进行了比较。
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引用次数: 1
Observation Data and 3D Map-based Radio Environment Estimation for Drone Wireless Communications 无人机无线通信观测数据与三维地图无线电环境估计
Pub Date : 2023-07-04 DOI: 10.1109/ICUFN57995.2023.10199770
S. Yamada, T. Fujii, Katsuya Suto, Koya Sato
Toward next-generation mobile communication systems such as beyond 5G and 6G, non-terrestrial networks (NTNs) have attracted much attention as they extend the coverage of wireless communication services. In NTNs, drones have multiple roles, such as delivery service and transportation, while providing communication services. Therefore, radio environment estimation in three-dimensional (3D) space is crucial for stable drone operations. However, the impact of the surrounding structures and terrain on the radio environment is not well investigated. In this paper, we propose a method to estimate the received power in the direction of altitude by fusing observed signal data and a 3D map that records the geometry of terrain and structures. The proposed method divides the estimation area into a line-of-sight (LOS) altitude and a non-line-of-sight (NLOS) altitude, the estimation values for each range, and then integrates them to obtain the overall estimation values. Through the simulation using the actual measurement dataset, it is demonstrated that the proposed method outperforms the conventional empirical propagation model, i.e., Hata model.
在超越5G和6G的下一代移动通信系统中,非地面网络(ntn)扩大了无线通信服务的覆盖范围,备受关注。在ntn中,无人机具有多种角色,例如交付服务和运输,同时提供通信服务。因此,三维(3D)空间的无线电环境估计对于无人机的稳定运行至关重要。然而,周围结构和地形对无线电环境的影响尚未得到很好的研究。在本文中,我们提出了一种通过融合观测信号数据和记录地形和结构几何形状的三维地图来估计海拔方向接收功率的方法。该方法将估计区域划分为视距(LOS)高度和非视距(NLOS)高度,对每个范围的估计值进行积分,得到整体估计值。通过实际测量数据集的仿真,证明了该方法优于传统的经验传播模型,即Hata模型。
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引用次数: 1
Re-ID Technology for V2I based Cooperative Driving Protocol 基于V2I的协同驾驶协议的Re-ID技术
Pub Date : 2023-07-04 DOI: 10.1109/ICUFN57995.2023.10200144
Junhyek Jang, Ki-Taeg Lim, Sanghun Yoon, Daewon Chae, Soo Hyun Jang
In recent years, there are collaborative efforts in establishing protocols between autonomous vehicles(AV) and infrastructures to provide safety and traffic efficiency on the road. Majority of recently proposed cooperative protocols are done using vehicle to vehicle(V2V) based cooperative driving protocol where AVs communicate with each other to negotiate its actions. However, V2V based cooperative protocols has its limitations in environments with obstructions such as buildings. To overcome such shortages, our team previously proposed a vehicle to infrastructure(V2I) based cooperative driving protocol using common surveillance cameras. To maximize V2I efficiency, the visible range of surveillance cameras needs to be extended. Our team present a developed re-identification algorithm between multi-cameras that can extend visible range of surveillance cameras and support real-time applications.
近年来,在自动驾驶汽车(AV)和基础设施之间建立协议的合作努力,以提供道路上的安全和交通效率。最近提出的大多数合作协议都是使用基于车对车(V2V)的合作驾驶协议来完成的,其中自动驾驶汽车相互通信以协商其行动。然而,基于V2V的协作协议在有建筑物等障碍物的环境中有其局限性。为了克服这些不足,我们的团队之前提出了一种基于车辆对基础设施(V2I)的合作驾驶协议,该协议使用常见的监控摄像头。为了最大限度地提高V2I效率,需要扩大监控摄像机的可见范围。我们的团队提出了一种开发的多摄像机之间的再识别算法,可以扩展监控摄像机的可见范围并支持实时应用。
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引用次数: 0
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2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)
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