2019 IEEE 27th International Conference on Network Protocols (ICNP)最新文献_第7页

RobustPay: Robust Payment Routing Protocol in Blockchain-based Payment Channel Networks RobustPay:基于区块链的支付通道网络中的稳健支付路由协议

2019 IEEE 27th International Conference on Network Protocols (ICNP) Pub Date : 2019-10-01 DOI: 10.1109/ICNP.2019.8888094

Yuhui Zhang, Dejun Yang

引用次数: 8

Towards Human-Robot Collaboration: An Industry 4.0 VR Platform with Clouds Under the Hood 迈向人机协作:工业4.0 VR平台与云底层

2019 IEEE 27th International Conference on Network Protocols (ICNP) Pub Date : 2019-10-01 DOI: 10.1109/ICNP.2019.8888107

B. Nagy, János Dóka, Sándor Rácz, G. Szabó, István Pelle, János Czentye, László Toka, Balázs Sonkoly

引用次数: 7

CeforeSim: Cefore Compliant NS-3-Based Network Simulator CeforeSim: Cefore兼容的基于ns -3的网络模拟器

2019 IEEE 27th International Conference on Network Protocols (ICNP) Pub Date : 2019-10-01 DOI: 10.1109/ICNP.2019.8888114

Yusaku Hayamizu, K. Matsuzono, H. Asaeda

引用次数: 2

Towards Automated Network Management: Learning the Optimal Protocol Selection 迈向自动化网络管理:学习最优协议选择

2019 IEEE 27th International Conference on Network Protocols (ICNP) Pub Date : 2019-10-01 DOI: 10.1109/ICNP.2019.8888100

Xiaoxi Zhang, Siqi Chen, Youngbin Im, M. Gorlatova, Sangtae Ha, Carlee Joe-Wong

{"title":"Towards Automated Network Management: Learning the Optimal Protocol Selection","authors":"Xiaoxi Zhang, Siqi Chen, Youngbin Im, M. Gorlatova, Sangtae Ha, Carlee Joe-Wong","doi":"10.1109/ICNP.2019.8888100","DOIUrl":"https://doi.org/10.1109/ICNP.2019.8888100","url":null,"abstract":"Today’s Internet must support applications with increasingly dynamic and heterogeneous connectivity requirements, such as video streaming and the Internet of Things. Yet current network management practices generally rely on pre-specified flow configurations, which cannot cover all possible scenarios. In this work, we instead propose a model-free learning approach to automatically optimize the policies for heterogeneous network flows. This approach is attractive as no existing comprehensive models quantify how different policy choices affect flow performance under dynamically changing network conditions. We extend multi-armed bandit frameworks to propose new online learning algorithms for protocol selection, addressing the challenge of policy configurations affecting the performance of multiple flows sharing the same network resources. This performance coupling limits the scalability and optimality of existing online learning algorithms. We theoretically prove that our algorithm achieves a sublinear regret and demonstrate its optimality and scalability through data-driven simulations.","PeriodicalId":385397,"journal":{"name":"2019 IEEE 27th International Conference on Network Protocols (ICNP)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132130767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Data-intensive Workflow Execution using Distributed Compute Resources 使用分布式计算资源执行数据密集型工作流

2019 IEEE 27th International Conference on Network Protocols (ICNP) Pub Date : 2019-10-01 DOI: 10.1109/ICNP.2019.8888119

Ashish Pandey, Songjie Wang, P. Calyam

引用次数: 1

Forward the Collision Decomposition in ZigBee 推进ZigBee中的碰撞分解

2019 IEEE 27th International Conference on Network Protocols (ICNP) Pub Date : 2019-10-01 DOI: 10.1109/ICNP.2019.8888052

Yifeng Cao, Zhe Wang, L. Kong, Guihai Chen, Jiadi Yu, Shaojie Tang, Yingying Chen

{"title":"Forward the Collision Decomposition in ZigBee","authors":"Yifeng Cao, Zhe Wang, L. Kong, Guihai Chen, Jiadi Yu, Shaojie Tang, Yingying Chen","doi":"10.1109/ICNP.2019.8888052","DOIUrl":"https://doi.org/10.1109/ICNP.2019.8888052","url":null,"abstract":"As wireless communication is tailored for low-power devices while the number of Internet of Things is growing exponentially, the collision problem in ZigBee is worsen. The classical approaches of solving collision problems lie in collision avoidance and packet retransmission, which could incur considerable overhead. The new trend is to decompose multi-packet collision directly, however, the high bit error rate limits its practical applications. Toward this end, we observe three major issues in the existing solutions: 1) all existing solutions adopt the priori-chip-dependent decomposition pattern, leading to the error propagation; 2) the available samples for chip decoding can be scarce, resulting in severe scarce-sample errors; 3) existing solutions assume the consistent frequency offset for consecutive packets, leading to inaccurate frequency offset estimation. To solve the issues of collision decomposition in ZigBee, we propose FORWARD, a novel physical layer design to enable highly accurate collision decomposition in ZigBee. The key idea is to generate all possible collided combinations as reference waveforms. The decomposition is determined by comparing the collided signal with the reference waveforms. Such a priori-chip-independent design has the advantages to eliminate the cumulative errors incurred from error propagation. When decoding, FORWARD always choose the longest segment to ensure sufficient samples for decoding. Furthermore, the recursive calibration design is approaching the real-time frequency offset and dynamically compensates the reference waveform. We implement FORWARD on USRP based testbed and evaluate its performance. Experimental results demonstrate that FORWARD reduces bit error rate by $4.96 times $ and increases throughput $1.46 sim 2.8 times $ compared with the state-of-the-art mZig.","PeriodicalId":385397,"journal":{"name":"2019 IEEE 27th International Conference on Network Protocols (ICNP)","volume":"112 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121014429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A (Near) Zero-cost and Universal Method to Combat Multipaths for RFID Sensing 一种(近)零成本和通用的RFID传感多路径对抗方法

2019 IEEE 27th International Conference on Network Protocols (ICNP) Pub Date : 2019-10-01 DOI: 10.1109/ICNP.2019.8888143

Ge Wang, Chen Qian, Kaiyan Cui, H. Ding, Haofan Cai, Wei Xi, Jinsong Han, Jizhong Zhao

{"title":"A (Near) Zero-cost and Universal Method to Combat Multipaths for RFID Sensing","authors":"Ge Wang, Chen Qian, Kaiyan Cui, H. Ding, Haofan Cai, Wei Xi, Jinsong Han, Jizhong Zhao","doi":"10.1109/ICNP.2019.8888143","DOIUrl":"https://doi.org/10.1109/ICNP.2019.8888143","url":null,"abstract":"There have been increasing interests in exploring the sensing capabilities of RFID to enable numerous IoT applications, including object localization, trajectory tracking, and human behavior sensing. However, most existing methods rely on the signal measurement either in a low multipath environment, which is unlikely to exist in many practical situations, or with special devices, which increase the operating cost. This paper investigates the possibility of measuring ‘multipath-free’ signal information in multipath-prevalent environments simply using a commodity RFID reader. The proposed solution, Clean Physical Information Extraction (CPIX), is universal, accurate, and compatible to standard protocols and devices. CPIX improves RFID sensing quality with near zero cost – it requires no extra device. We implement CPIX and evaluate its effectiveness on improving the performance on tag localization. The results show that CPIX reduces the localization error by 30% to 50% and achieves the MOST accurate localization by commodity readers compared to existing work.","PeriodicalId":385397,"journal":{"name":"2019 IEEE 27th International Conference on Network Protocols (ICNP)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121056899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Extended Abstract: Coordinated Communications for Next-Generation Networks 扩展摘要:下一代网络的协调通信

2019 IEEE 27th International Conference on Network Protocols (ICNP) Pub Date : 2019-10-01 DOI: 10.1109/ICNP.2019.8888088

K. Makhijani, Hamed Yousefi, K. Ramakrishnan, Richard Li

引用次数: 1

Powering Hands-on Cybersecurity Practices with Cloud Computing 利用云计算为网络安全实践提供动力

2019 IEEE 27th International Conference on Network Protocols (ICNP) Pub Date : 2019-10-01 DOI: 10.1109/ICNP.2019.8888060

Ruipeng Zhang, Chen Xu, Mengjun Xie

{"title":"Powering Hands-on Cybersecurity Practices with Cloud Computing","authors":"Ruipeng Zhang, Chen Xu, Mengjun Xie","doi":"10.1109/ICNP.2019.8888060","DOIUrl":"https://doi.org/10.1109/ICNP.2019.8888060","url":null,"abstract":"Cybersecurity education and training have gained increasing attention in all sectors due to the prevalence and quick evolution of cyberattacks. A variety of platforms and systems have been proposed and developed to accommodate the growing needs of hands-on cybersecurity practice. However, those systems are either lacking sufficient flexibility (e.g., tied to a specific virtual computing service provider, little customization support) or difficult to scale. In this work, we present a cloud-based platform named EZSetup for hands-on cybersecurity practice at scale and our experience of using it in class. EZSetup is customizable and cloud-agnostic. Users can create labs through an intuitive Web interface and deploy them onto one or multiple clouds. We have used NSF funded Chameleon cloud and our private OpenStack cloud to develop, test and deploy EZSetup. We have developed 14 network and security labs using the tool and included six labs in an undergraduate network security course in spring 2019. Our survey results show that students have very positive feedback on using EZSetup and computing clouds for hands-on cybersecurity practice.","PeriodicalId":385397,"journal":{"name":"2019 IEEE 27th International Conference on Network Protocols (ICNP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133102801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Defending Web Servers Against Flash Crowd Attacks Web服务器防范Flash人群攻击

2019 IEEE 27th International Conference on Network Protocols (ICNP) Pub Date : 2019-10-01 DOI: 10.1109/ICNP.2019.8888105

R. Tandon, Abhinav Palia, J. Ramani, Brandon Paulsen, G. Bartlett, J. Mirkovic

引用次数: 6