IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)最新文献_第3页

BoTM: Basestation-on-the-move, a Radio Access Network Management Primitive 移动基站，一种无线接入网络管理原语

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484447

Aashish Gottipati, J. Merwe

{"title":"BoTM: Basestation-on-the-move, a Radio Access Network Management Primitive","authors":"Aashish Gottipati, J. Merwe","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484447","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484447","url":null,"abstract":"Software-defined Radio Access Networks (SD-RANs) enable unparalleled flexibility and the opportunity to customize and/or optimize network operations. In particular, network function virtualization suggests that network functions are no longer tightly coupled to any specific hardware instance or location. In this paper we present our work on BoTM, basestationon-the-move, where we exploit network function virtualization in an SD-RAN environment to dynamically \"move\" a mobile base station from one location to another to realize a general RAN management primitive. Specifically, we show how an SD-RAN environment enables orchestration across both the virtual infrastructure layer (i.e., the base station) as well as the mobile network functional layer (i.e., the protocol interactions in a mobile network), allowing a base station and its associated endpoints to be moved, fostering new network management functionality. We present the design and implementation of this network management primitive using Open Air Interface and the FlexRAN framework, with experimental results and efficiency metrics.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"146 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":"134159001","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

Joint Resource Optimization in Two-way Relaying Energy Harvesting Cognitive Sensor Network 双向中继能量采集认知传感器网络联合资源优化

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484617

Yuan Gao, Cheng Yang, Weidang Lu, Yi Wenchen, Yu Zhang, Guoxing Huang, Jiang Cao

引用次数: 0

Multi-Job Multi-Edge Allocation in Edge Computing Environments 边缘计算环境下的多任务多边缘分配

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484470

Shihao Li, Weiwei Miao, Zeng Zeng, Lei Wei, Chengling Jiang, Chuanjun Wang, Mingxuan Zhang

引用次数: 0

WiMatch: Wireless Resource Matchmaking WiMatch:无线资源配对

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484538

Kirk Webb, S. Kasera, Neal Patwari, J. Merwe

引用次数: 4

A Novel Negative and Positive Selection Algorithm to Detect Unknown Malware in the IoT 一种检测物联网中未知恶意软件的新型阴性和阳性选择算法

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484483

Hadeel Alrubayyi, G. Goteng, Mona Jaber, James Kelly

引用次数: 5

Decentralised Internet Infrastructure: Securing Inter-Domain Routing (DEMO) 分散的互联网基础设施:确保域间路由(DEMO)

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484629

Miquel Ferriol Galmés, A. Cabellos-Aparicio

{"title":"Decentralised Internet Infrastructure: Securing Inter-Domain Routing (DEMO)","authors":"Miquel Ferriol Galmés, A. Cabellos-Aparicio","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484629","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484629","url":null,"abstract":"The Border Gateway Protocol (BGP) is the inter-domain routing protocol that glues the Internet. BGP does not incorporate security and instead, it relies on careful configuration and manual filtering to offer some protection. As a consequence, the current inter-domain routing infrastructure is partially vulnerable to prefix and path hijacks as well as in misconfigurations that results in route leaks. There are many instances of these vulnerabilities being exploited by malicious actors on the Internet, resulting in disruption of services. To address this issue the IETF has designed RPKI, a centralised trust architecture that relies on Public Key Infrastructure. RPKI has slow adoption and its centralised nature is problematic: network administrators are required to trust CAs and do not have the ultimate control of their own critical Internet resources (e.g,. IP blocks, AS Numbers). In this context, we have built the Decentralised Internet Infrastructure (DII), a distributed ledger to securely store inter-domain routing information. The main advantages of DII are (i) it offers flexible trust models where the Internet community can define the rules of a consensus algorithm that properly reflects the power balance of its members and, (ii) offers protection against vulnerabilities (path hijack and route leaks) that goes well beyond what RPKI offers. We have deployed the prototype on the wild in a worldwide testbed including 7 ASes, we will use the testbed to demonstrate in a realistic scenario how allocation and delegation of Internet resources in DII work, and how this protects ASes against artificially produced path and prefix hijack as well as a route leak.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"116 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":"115086015","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: 2

An Interactive and Immersive Remote Education Platform based on Commodity Devices 基于商品设备的交互式沉浸式远程教育平台

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484492

Jiangong Chen, Feng Qian, Bin Li

{"title":"An Interactive and Immersive Remote Education Platform based on Commodity Devices","authors":"Jiangong Chen, Feng Qian, Bin Li","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484492","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484492","url":null,"abstract":"Virtual reality (VR) holds a great potential to provide interactive and immersive learning experiences for students in remote education by using existing mobile devices, which is extremely meaningful during the current pandemic. In such a VR application, satisfactory user experience requires: 1) high-resolution panoramic image rendering; 2) high frame rate; 3) synchronization among users. This requires that either mobile devices perform fast image rendering or today’s wireless network can support multi-Gbps traffic with extremely low delay, neither of which is the case in current practice. In this demo, we develop a platform for interactive and immersive remote education based on commodity devices, where a server performs rendering to ensure that the rendered images have high-resolution (2560×1440 pixels) and are displayed at a high frame rate (60 frames per second) on the client-side. We further leverage motion prediction to overcome the diverse round-trip time (RTT) between a server and users and ensure synchronization among users (average 9.2 ms frame latency difference among users), which improves at least 60% and 20% compared to the existing local-rendering and server-rendering methods, respectively.","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":"116884156","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: 2

Monitoring Video Resolution of Adaptive Encrypted Video Traffic Based on HTTP/2 Features 基于HTTP/2特性的自适应加密视频流量视频分辨率监控

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484509

Hua Wu, Xin Li, Guang Cheng, Xiaoyan Hu

引用次数: 4

A system for detecting third-party tracking through the combination of dynamic analysis and static analysis 通过动态分析和静态分析相结合的方式检测第三方跟踪的系统

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484564

Jingxue Sun, Zhiqiu Huang, Ting Yang, Wengjie Wang, Yuqing Zhang

{"title":"A system for detecting third-party tracking through the combination of dynamic analysis and static analysis","authors":"Jingxue Sun, Zhiqiu Huang, Ting Yang, Wengjie Wang, Yuqing Zhang","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484564","DOIUrl":"https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484564","url":null,"abstract":"With the continuous development of Internet technology, people pay more and more attention to private security. In particular, third-party tracking is a major factor affecting privacy security. So far, the most effective way to prevent third-party tracking is to create a blacklist. However, blacklist generation and maintenance need to be carried out manually which is inefficient and difficult to maintain. In order to generate blacklists more quickly and accurately in this era of big data, this paper proposes a machine learning system MFTrackerDetector against third-party tracking. The system is based on the theory of structural hole and only detects third-party trackers. The system consists of two subsystems, DMTrackerDetector and DFTrackerDetector. DMTrackerDetector is a JavaScript-based subsystem and DFTrackerDetector is a Flash-based subsystem. Because tracking code and non-tracking code often call different APIs, DMTrackerDetector builds a classifier using all the APIs in JavaScript as features and extracts the API features in JavaScript through dynamic analysis. Unlike static analysis method, the dynamic analysis method can effectively avoid code obfuscation. DMTrackerDetector eventually generates a JavaScript-based third-party tracker list named Jlist. DFTrackerDetector constructs a classifier using all the APIs in ActionScript as features and extracts the API features in the flash script through static analysis. DFTrackerDetector finally generates a Flash-based third-party tracker list named Flist. DFTrackerDetector achieved 92.98% accuracy in the Flash test set and DMTrackerDetector achieved 90.79% accuracy in the JavaScript test set. MFTrackerDetector eventually generates a list of third-party trackers, which is a combination of Jlist and Flist.","PeriodicalId":109588,"journal":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"47 15 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":"128491296","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: 0

Virtual Credit Framework in the Remote Work Era 远程工作时代的虚拟信用框架

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Pub Date : 2021-05-10 DOI: 10.1109/INFOCOMWKSHPS51825.2021.9484486

Yongjin Kim

引用次数: 0