CAREER: Quality of Experience and Network Management in the Encrypted Internet
职业:加密互联网中的体验质量和网络管理
基本信息
- 批准号:1750175
- 负责人:
- 金额:$ 50万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-08-01 至 2020-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
While encryption is essential for security and privacy, it limits the ability of content providers (e.g. Netflix and YouTube) and mobile network operators (e.g. AT&T and Verizon) to effectively and efficiently deliver content to users. First, encryption limits the ability of content providers to maintain effective control over modern applications such as augmented reality or virtual reality (AR/VR) video streaming. Second, encryption limits the ability of mobile network operators to efficiently share the scarce radio spectrum among their many users. These issues can significantly degrade users' Quality of Experience (or QoE). The goal of this project is to improve QoE of modern applications in the increasingly encrypted Internet. This project will investigate implicit and explicit cooperation between network operators and content providers for QoE and network management in the encrypted Internet. First, the project will investigate implicit cooperation between network operators and content providers through machine learning based analysis of encrypted traffic. Second, the project will investigate in-band and out-of-band protocols and API frameworks for explicit information exchange between network operators and content providers. The project investigates a spectrum of innovative approaches for cooperative QoE and network management, ranging from clean slate approaches to the ones that are backward compatible and incrementally deployable. The proposed research will help improve Internet experience of modern high-throughput low-delay applications such as AR/VR video streaming, especially for users in underserved areas with poor Internet connectivity. The project will also engage undergraduates and under-represented minority students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
虽然加密对于安全和隐私至关重要,但它限制了内容提供商(例如Netflix和YouTube)和移动的网络运营商(例如AT T和Verizon)有效地向用户提供内容的能力。首先,加密限制了内容提供商对增强现实或虚拟现实(AR/VR)视频流等现代应用保持有效控制的能力。其次,加密限制了移动的网络运营商在其众多用户之间有效共享稀缺无线电频谱的能力。这些问题可能会显著降低用户的体验质量(或QoE)。该项目的目标是在日益加密的互联网中提高现代应用程序的QoE。该项目将研究网络运营商和内容提供商之间的隐式和显式合作,以实现加密互联网中的QoE和网络管理。首先,该项目将通过基于机器学习的加密流量分析来研究网络运营商和内容提供商之间的隐性合作。第二,该项目将研究用于网络运营商和内容提供商之间的显式信息交换的带内和带外协议以及API框架。该项目研究了一系列用于协作QoE和网络管理的创新方法,从白板方法到向后兼容和可增量部署的方法。拟议的研究将有助于改善现代高吞吐量低延迟应用(如AR/VR视频流)的互联网体验,特别是对于互联网连接较差的服务不足地区的用户。这个奖项反映了NSF的法定使命,并被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
FlowTrace: A Framework for Active Bandwidth Measurements using In-band Packet Trains
FlowTrace:使用带内数据包序列进行主动带宽测量的框架
- DOI:10.1007/978-3-030-44081-7_3
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Ahmed, Adnan;Mok, Ricky;Shafiq, Zubair
- 通讯作者:Shafiq, Zubair
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Zubair Shafiq其他文献
Bumps and Bruises: Mining Presidential Campaign Announcements on Twitter
颠簸和瘀伤:Twitter 上的矿业总统竞选公告
- DOI:
10.1145/3078714.3078736 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Huyen T. Le;G. Boynton;Yelena Mejova;Zubair Shafiq;P. Srinivasan - 通讯作者:
P. Srinivasan
COOKIEGRAPH: Measuring and Countering First-Party Tracking Cookies
COOKIEGRAPH:测量和对抗第一方跟踪 Cookie
- DOI:
10.48550/arxiv.2208.12370 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Shaoor Munir;S. Siby;Umar Iqbal;Steven Englehardt;Zubair Shafiq;C. Troncoso - 通讯作者:
C. Troncoso
Revisiting The American Voter on Twitter
重温推特上的美国选民
- DOI:
- 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Huyen T. Le;G. Boynton;Yelena Mejova;Zubair Shafiq;P. Srinivasan - 通讯作者:
P. Srinivasan
Scalable News Slant Measurement Using Twitter
使用 Twitter 进行可扩展的新闻倾斜测量
- DOI:
10.1609/icwsm.v11i1.14957 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Huyen T. Le;Zubair Shafiq;P. Srinivasan - 通讯作者:
P. Srinivasan
FP-Inconsistent: Detecting Evasive Bots using Browser Fingerprint Inconsistencies
FP-不一致:使用浏览器指纹不一致检测规避机器人
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Harish Venugopalan;Shaoor Munir;Shuaib Ahmed;Tangbaihe Wang;Samuel T. King;Zubair Shafiq - 通讯作者:
Zubair Shafiq
Zubair Shafiq的其他文献
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{{ truncateString('Zubair Shafiq', 18)}}的其他基金
Collaborative Research: SaTC: CORE: Medium: Defending against Emerging Stateless Web Tracking
协作研究:SaTC:核心:中:防御新兴的无状态网络跟踪
- 批准号:
2138139 - 财政年份:2022
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Collaborative: The Web Ad Technology Arms Race: Measurement, Analysis, and Countermeasures
SaTC:核心:小型:协作:网络广告技术军备竞赛:测量、分析和对策
- 批准号:
2051592 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Collaborative: A Multi-Layer Learning Approach to Mobile Traffic Filtering
SaTC:核心:小型:协作:移动流量过滤的多层学习方法
- 批准号:
2102347 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
CAREER: Quality of Experience and Network Management in the Encrypted Internet
职业:加密互联网中的体验质量和网络管理
- 批准号:
2103038 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
SaTC: Frontiers: Collaborative: Protecting Personal Data Flow on the Internet
SaTC:前沿:协作:保护互联网上的个人数据流
- 批准号:
2103439 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
SaTC: Frontiers: Collaborative: Protecting Personal Data Flow on the Internet
SaTC:前沿:协作:保护互联网上的个人数据流
- 批准号:
1954224 - 财政年份:2020
- 资助金额:
$ 50万 - 项目类别:
Continuing Grant
SaTC: CORE: Small: Collaborative: A Multi-Layer Learning Approach to Mobile Traffic Filtering
SaTC:核心:小型:协作:移动流量过滤的多层学习方法
- 批准号:
1815131 - 财政年份:2018
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
SaTC: CORE: Small: Collaborative: The Web Ad Technology Arms Race: Measurement, Analysis, and Countermeasures
SaTC:核心:小型:协作:网络广告技术军备竞赛:测量、分析和对策
- 批准号:
1715152 - 财政年份:2017
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
NeTS: Small: Collaborative Research: Towards Scalable and Energy Efficient Cellular IoT Communication
NeTS:小型:协作研究:迈向可扩展且节能的蜂窝物联网通信
- 批准号:
1617288 - 财政年份:2016
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
TWC: Small: Collaborative: Multipath TCP Side Channel Vulnerabilities and Defenses
TWC:小:协作:多路径 TCP 侧信道漏洞和防御
- 批准号:
1524329 - 财政年份:2015
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
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