IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)最新文献_第8页

P2PNIC: High-Speed Packet Forwarding by Direct Communication between NICs P2PNIC:网卡间直接通信，实现高速报文转发

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484641

Yukito Ueno, Ryo Nakamura, Yohei Kuga, H. Esaki

{"title":"P2PNIC: High-Speed Packet Forwarding by Direct Communication between NICs","authors":"Yukito Ueno, Ryo Nakamura, Yohei Kuga, H. Esaki","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484641","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484641","url":null,"abstract":"Against the background of the contiguous growth of the Internet and data center traffic, the performance requirement for software middleboxes is increasing rapidly. Although their performance has been improved by continuous research and development, their packet forwarding architecture depends on the CPU and the main memory. Thus, their throughput cannot exceed the limit of the memory bandwidth, for instance. To address these limits, we propose a novel packet forwarding architecture called P2PNIC. In P2PNIC, a NIC directly communicates with other NICs through the PCIe interconnect without CPU and main memory involvement, like the inter-linecard communication in a hardware router. To show the feasibility and the performance advantages of P2PNIC architecture, we implemented P2PNIC on a programmable 40 GbE NIC and compared the throughput and latency with TestPMD, which is an application of DPDK. The evaluation shows that P2PNIC achieves 40.37 Mpps for 64-byte packets, which is 1.45 times higher than TestPMD. In addition, P2PNIC shows 36% lower latency than TestPMD for 64-byte packets with 1 Gbps background traffic. The P2PNIC architecture accelerates packet forwarding on a general-purpose server and advances software-based network technologies.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123101129","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: 1

VXLAN-based INT: In-band Network Telemetry for Overlay Network Monitoring 基于vxlan的INT:覆盖网络监测的带内网络遥测

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484508

Yan Zhang, Tian Pan, Yan Zheng, Enge Song, Tao Huang, Yun-jie Liu

引用次数: 2

Scaling Federated Network Services: Managing SLAs in Multi-Provider Industry 4.0 Scenarios 扩展联邦网络服务:管理多提供商工业4.0场景中的sla

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484476

J. Baranda, J. Mangues‐Bafalluy, L. Vettori, R. Martínez, E. Zeydan

引用次数: 1

SPA: Harnessing Availability in the AWS Spot Market SPA:利用AWS现货市场的可用性

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484646

Walter Wong, Aleksandr Zavodovski, Lorenzo Corneo, Nitinder Mohan, J. Kangasharju

引用次数: 2

Poster Abstract: BounceBack - A DDoS Attack Using Unsuspecting Accomplices in the Network 海报摘要:反弹- DDoS攻击使用毫无戒心的同伙在网络中

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484611

Saffana Alshangiti, Mawada Alahmadi, Mohammed Alkhatib, Rashid Tahir, Fareed Zaffar

{"title":"Poster Abstract: BounceBack - A DDoS Attack Using Unsuspecting Accomplices in the Network","authors":"Saffana Alshangiti, Mawada Alahmadi, Mohammed Alkhatib, Rashid Tahir, Fareed Zaffar","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484611","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484611","url":null,"abstract":"DDoS attacks often target a victim’s machine to isolate it from the rest of the Internet by overwhelming it with unwanted traffic. Due to the serious threat they pose, numerous defensive strategies have been proposed in the literature and the industry has developed effective techniques to help identify the abusers and combat the attacks. A more sophisticated type of DDoS attack, called the transit-link DDoS attack, instead aims to consume the resources of the intermediate core links rather than attacking the victim’s machine directly thereby avoiding attribution. The goal of such attacks is to severely congest one or more of the network links that are used to service the traffic of the victim, hence, causing the victim to experience a denial of service. In this paper, we present the BounceBack attack, which is a novel transit-link DDoS attack that leverages the ICMP protocol to recruit a large number of \"unwilling\" accomplices to solicit attack traffic from them, creating congestion in certain carefully selected links. The proposed attack has the potential to cause serious problems for ISPs, and makes attribution and mitigation challenging as it relies on reflection, redirection and deception to carry out the bandwidth-exhaustion attack.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133264434","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: 1

On the Distribution of ML Workloads to the Network Edge and Beyond 关于机器学习工作负载到网络边缘和其他地方的分布

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484503

G. Drainakis, P. Pantazopoulos, K. Katsaros, Vasilis Sourlas, A. Amditis

{"title":"On the Distribution of ML Workloads to the Network Edge and Beyond","authors":"G. Drainakis, P. Pantazopoulos, K. Katsaros, Vasilis Sourlas, A. Amditis","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484503","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484503","url":null,"abstract":"The emerging paradigm of edge computing has revolutionized network applications, delivering computational power closer to the end-user. Consequently, Machine Learning (ML) tasks, typically performed in a data centre (Centralized Learning - CL), can now be offloaded to the edge (Edge Learning - EL) or mobile devices (Federated Learning - FL). While the inherent flexibility of such distributed schemes has drawn considerable attention, a thorough investigation on their resource consumption footprint is still missing.In our work, we consider a FL scheme and two EL variants, representing varying proximity to the end users (data sources) and corresponding levels of workload distribution across the network; namely Access Edge Learning (AEL), where edge nodes are essentially co-located with the base stations and Regional Edge Learning (REL), where they lie towards the network core. Based on real systems’ measurements and user mobility traces, we devise a realistic simulation model to evaluate and compare the performance of the considered ML schemes under an image classification task. Our results indicate that FL and EL can act as viable alternatives to CL. Edge learning effectiveness is shaped by the configuration of edge nodes in the network with REL achieving the prominent combination of accuracy and bandwidth needs. Energy-wise, edge learning is shown to offer an attractive choice (for involved stakeholders) to offload centralised ML tasks.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116438575","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

Entering Watch Dogs*: Evaluating Privacy Risks Against Large-Scale Facial Search and Data Collection 进入看门狗*:评估针对大规模面部搜索和数据收集的隐私风险

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484550

Bahadır Durmaz, Erman Ayday

{"title":"Entering Watch Dogs*: Evaluating Privacy Risks Against Large-Scale Facial Search and Data Collection","authors":"Bahadır Durmaz, Erman Ayday","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484550","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484550","url":null,"abstract":"Discovering friends on online platforms have become relatively easier with the introduction of contact discovery and ability to search using phone numbers. Such features conveniently connect users by acting as unique tokens across platforms, as opposed to other attributes, such as user names. Using this feature, in this work, one of our contributions is to explore how an attacker can easily create a massive dataset of individuals residing in a given region (e.g., country) that includes high amount of personal information about such individuals. To identify the active social network accounts of individuals in a given region, we show that brute force phone number verification is possible in popular online services, such as WhatsApp, Facebook Messenger, and Twitter. We also go beyond and show the feasibility of collecting several data points on discovered accounts, including multiple facial data belonging to each account owner along with 23 other attributes. Then, as our main contribution, we quantify the privacy risk for an attacker linking a total stranger (e.g., someone it randomly comes across in public) to one of the collected records via facial features. Our results show that accurate facial search is possible in the constructed dataset and that an attacker can link a randomly taken photo (i.e., a single facial photo) of an individual to their profile with 67% accuracy. This means that an attacker can, on a large scale, create a search engine that is capable of identifying individuals’ records efficiently and accurately from just a single facial photo.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134444349","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: 1

IPv6 Flow-Label based Application Aware Routing in SDNs sdn中基于流量标签的IPv6应用感知路由

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484442

Aniruddha Kushwaha, Naveen Bazard, A. Gumaste

{"title":"IPv6 Flow-Label based Application Aware Routing in SDNs","authors":"Aniruddha Kushwaha, Naveen Bazard, A. Gumaste","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484442","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484442","url":null,"abstract":"Application-aware routing has been proposed to facilitate fine-grained control and better resource utilization in Wide Area Networks (WANs). However, there are two key challenges that impact the deployment of application-aware routing in a traditional network: (1) The run time identification of applications and (2) Routing mechanism that is specific to an application’s need. However, recent advancements in SDN technology and programmable switches paved a way towards feasible implementations of application-aware routing, by providing flexibility in data-plane for parsing; and in control-plane to employ appropriate routing algorithms.In this paper, we propose to use the IPv6 flow label for the identification of the applications at run time. We also present a link-weight-based routing mechanism that adapts itself for the traffic of different application categories and results in better throughput (>2x) as compared to the shortest path routing. We argue that the use of the IPv6 flow label for application identification also does not require any modification at the protocol and switch level in OpenFlow/P4 supporting hardware.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"56 32","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132389763","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: 1

A Novel Energy Aware Secure Internet of Drones Design: ESIoD 一种新型的能源感知安全无人机互联网设计:ESIoD

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484461

Sayani Sarkar, Shivanjali Khare, Michael W. Totaro, Ashok Kumar

{"title":"A Novel Energy Aware Secure Internet of Drones Design: ESIoD","authors":"Sayani Sarkar, Shivanjali Khare, Michael W. Totaro, Ashok Kumar","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484461","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484461","url":null,"abstract":"Unmanned aerial vehicles (UAVs), or drones, are emerging as a promising technology for a variety of monitoring and surveillance-based applications. Smart UAVs are not limited only to image capturing, but also to real-time decision making using artificial intelligence. Moreover, it is important to consider the data security of captured images. In this paper, we propose a novel Energy-aware Secure Internet of Drone (ESIoD) architecture. A crucial research problem addressed by this work is how to accomplish faster onboard processing and reduce battery usage for a UAV to prolong the flight time while retaining data security of UAV captured images. Specifically, drone-captured real-time images are encrypted using either AES or RSA algorithms and offloaded by the onboard computer to a cloud server for the processing of cognitive actions using both a standard Haar cascade classifier and an advanced faster R-CNN classifier. The focus of this study is to conserve the drone battery life by secure computational offloading to optimize drone flight time. Two sets of experiments were performed using drone-captured sample images and videos. Results show that the ESIoD architecture can conserve 80% onboard processing time and 3X drone battery charge usage as compared to conventional real-time onboard processing for the considered application.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133168362","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: 4

GenPath - A Genetic Multi-Round Path Planning Algorithm for Aerial Vehicles GenPath -一种飞行器多轮路径规划的遗传算法

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484505

N. Bartolini, Andrea Coletta, G. Maselli, Mauro Piva, Domenicomichele Silvestri

引用次数: 0