TWC SBE: Medium: Collaborative: User-Centric Risk Communication and Control on Mobile Devices
TWC SBE:媒介:协作:移动设备上以用户为中心的风险沟通和控制
基本信息
- 批准号:1314688
- 负责人:
- 金额:$ 83.82万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-09-01 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Risk communication is an important part of many cyber security mechanisms. Android's current risk communication mechanism is based on security warnings and has been demonstrated to be ineffective because users become habituated to ignore such warnings and tend to consent to all prompts. This multi-disciplinary research project aims at developing holistic solutions to usable risk communication and control for the Android platform. This project investigates an approach that presents risk information at multiple granularities, including a high-level numerical risk summary, an intermediate-level summary of risk for different dimensions, and detailed risk information. The high-level risk summary is computed by information integration techniques, using information discovered from multiple sources, e.g., user reviews and app source code. This summary enables proactive risk communication (e.g., when the user searches for apps) so that users can take this information into the decision process. This project also introduces a multi-mode approach that, in addition to communicating risks, also controls risks in the sense of discouraging risky applications and ensuring that users truly understand the risks. The project develops mechanisms that aggregate, communicate, and control risks incurred by apps at runtime, and ways to personalize risk integration, communicate, and control techniques to accommodate differences among users.This project is expected to advance the state of the art in principles and techniques to risk communication and control, and has the potential to impact the Android app ecosystem by collaboration with Google researchers.
风险沟通是许多网络安全机制的重要组成部分。 Android当前的风险沟通机制基于安全警告,但已被证明是无效的,因为用户习惯于忽略此类警告并倾向于同意所有提示。 这个多学科研究项目旨在开发适用于 Android 平台的可用风险沟通和控制的整体解决方案。 该项目研究了一种以多种粒度呈现风险信息的方法,包括高级数字风险摘要、不同维度的中级风险摘要以及详细的风险信息。 高级风险摘要是通过信息集成技术使用从多个来源(例如用户评论和应用程序源代码)发现的信息来计算的。 此摘要支持主动风险沟通(例如,当用户搜索应用程序时),以便用户可以将此信息纳入决策过程。 该项目还引入了一种多模式方法,除了沟通风险之外,还可以从阻止有风险的应用程序并确保用户真正了解风险的意义上控制风险。 该项目开发了聚合、沟通和控制应用程序在运行时产生的风险的机制,以及个性化风险集成、沟通和控制技术的方法,以适应用户之间的差异。该项目预计将推进风险沟通和控制的原理和技术的最先进水平,并有可能通过与谷歌研究人员的合作影响Android应用程序生态系统。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ninghui Li其他文献
PURE: A Framework for Analyzing Proximity-based Contact Tracing Protocols
PURE:用于分析基于接近度的接触追踪协议的框架
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:16.6
- 作者:
F. Cicala;Weicheng Wang;Tianhao Wang;Ninghui Li;E. Bertino;F. Liang;Yang Yang - 通讯作者:
Yang Yang
Fisher Information as a Utility Metric for Frequency Estimation under Local Differential Privacy
Fisher信息作为本地差分隐私下频率估计的效用度量
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Milan Lopuhaä;B. Škorić;Ninghui Li - 通讯作者:
Ninghui Li
A formal semantics for P3P
P3P 的形式化语义
- DOI:
- 发表时间:
2004 - 期刊:
- 影响因子:0
- 作者:
Ting Yu;Ninghui Li;A. Antón - 通讯作者:
A. Antón
Anonymizing Network Traces with Temporal Pseudonym Consistency
通过时间假名一致性对网络跟踪进行匿名化
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Wahbeh H. Qardaji;Ninghui Li - 通讯作者:
Ninghui Li
Sensornet
传感器网
- DOI:
- 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Rodney Topor;Kenneth Salem;Amarnath Gupta;K. Goda;John F. Gehrke;N. Palmer;Mohamed Sharaf;Alexandros Labrinidis;J. Roddick;Ariel Fuxman;Renée J. Miller;Wang;Anastasios Kementsietsidis;Philippe Bonnet;D. Shasha;Ronald Peikert;Bertram Ludäscher;S. Bowers;T. McPhillips;Harald Naumann;K. Voruganti;J. Domingo;Ben Carterette;Panagiotis G. Ipeirotis;Marcelo Arenas;Y. Manolopoulos;Y. Theodoridis;V. Tsotras;B. Carminati;Jan Jurjens;Eduardo B. Fernandez;Murat Kantarcıoǧlu;Jaideep Vaidya;Indrakshi Ray;Athena Vakali;Cristina Sirangelo;E. Pitoura;Himanshu Gupta;Surajit Chaudhuri;G. Weikum;Ulf Leser;David W. Embley;Fausto Giunchiglia;P. Shvaiko;Mikalai Yatskevich;Edward Y. Chang;Christine Parent;S. Spaccapietra;E. Zimányi;G. Anadiotis;S. Kotoulas;Ronny Siebes;Grigoris Antoniou;D. Plexousakis;J. Bailey;François Bry;Tim Furche;Sebastian Schaffert;David Martin;Gregory D. Speegle;Krithi Ramamritham;P. Chrysanthis;Kai;Stéphane Bressan;S. Abiteboul;D. Suciu;G. Dobbie;Tok Wang Ling;Sugato Basu;Ramesh Govindan;Michael H. Böhlen;C. S. Jensen;Jianyong Wang;K. Vidyasankar;A. Chan;Serge Mankovski;S. Elnikety;P. Valduriez;Yannis Velegrakis;Mario A. Nascimento;Michael Huggett;Andrew U. Frank;Yanchun Zhang;Guandong Xu;R. Snodgrass;Alan Fekete;Marcus Herzog;Konstantinos Morfonios;Y. Ioannidis;E. Wohlstadter;M. Matera;F. Schwagereit;Steffen Staab;Keir Fraser;Jingren Zhou;M. Mokbel;Walid G. Aref;Mirella M. Moro;Markus Schneider;Panos Kalnis;Gabriel Ghinita;Michael F. Goodchild;Shashi Shekhar;James Kang;Vijayaprasath Gandhi;Nikos Mamoulis;Betsy George;Michel Scholl;Agnès Voisard;Ralf Hartmut Güting;Yufei Tao;Dimitris Papadias;Peter Revesz;G. Kollios;E. Frentzos;Apostolos N. Papadopoulos;Bernhard Thalheim;Jovan Pehcevski;Benjamin Piwowarski;S. Theodoridis;Konstantinos Koutroumbas;George Karabatis;Don Chamberlin;Philip A. Bernstein;Michael H. Böhlen;J. Gamper;Ping Li;Kazimierz Subieta;S. Harizopoulos;Ethan Zhang;Yi Zhang;Theodore Johnson;Hans;S. Fienberg;Jiashun Jin;Radu Sion;C. Paice;Nikos Hardavellas;Ippokratis Pandis;Edie M. Rasmussen;Hiroshi Yoshida;G. Graefe;Bernd Reiner;Karl Hahn;K. Wada;T. Risch;Jiawei Han;Bolin Ding;Lukasz Golab;Michael Stonebraker;Bibudh Lahiri;Srikanta Tirthapura;Erik Vee;Yanif Ahmad;U. Çetintemel;Mitch Cherniack;S. Zdonik;Mariano P. Consens;M. Lalmas;R. Baeza;D. Hiemstra;Peer Krögerand;Arthur Zimek;Nick Craswell;Carson Kai;Maxime Crochemore;Thierry Lecroq;Arie Shoshani;Jimmy Lin;Hwanjo Yu;David B. Lomet;H. Hinterberger;Ninghui Li;Phillip B. Gibbons;Mouna Kacimi;Thomas Neumann - 通讯作者:
Thomas Neumann
Ninghui Li的其他文献
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{{ truncateString('Ninghui Li', 18)}}的其他基金
Collaborative Research: SaTC: CORE: Small: Differentially Private Data Synthesis: Practical Algorithms and Statistical Foundations
协作研究:SaTC:核心:小型:差分隐私数据合成:实用算法和统计基础
- 批准号:
2247794 - 财政年份:2023
- 资助金额:
$ 83.82万 - 项目类别:
Continuing Grant
Collaborative Proposal: SaTC: Frontiers: Center for Distributed Confidential Computing (CDCC)
协作提案:SaTC:前沿:分布式机密计算中心 (CDCC)
- 批准号:
2207204 - 财政年份:2022
- 资助金额:
$ 83.82万 - 项目类别:
Continuing Grant
SaTC: CORE: Medium: Collaborative: User-Centered Deployment of Differential Privacy
SaTC:核心:媒介:协作:以用户为中心的差异隐私部署
- 批准号:
1931443 - 财政年份:2020
- 资助金额:
$ 83.82万 - 项目类别:
Standard Grant
RAPID: Collaborative: PPSRC: Privacy-Preserving Self-Reporting for COVID-19
RAPID:协作:PPSRC:COVID-19 隐私保护自我报告
- 批准号:
2034235 - 财政年份:2020
- 资助金额:
$ 83.82万 - 项目类别:
Standard Grant
SaTC: CORE: Improving Password Ecosystem: A Holistic Approach
SaTC:核心:改进密码生态系统:整体方法
- 批准号:
1704587 - 财政年份:2017
- 资助金额:
$ 83.82万 - 项目类别:
Standard Grant
EAGER: Bridging The Gap between Theory and Practice in Data Privacy
EAGER:弥合数据隐私理论与实践之间的差距
- 批准号:
1640374 - 财政年份:2016
- 资助金额:
$ 83.82万 - 项目类别:
Standard Grant
TC: Small: Provably Private Microdata Publishing
TC:小型:可证明的私人微数据出版
- 批准号:
1116991 - 财政年份:2011
- 资助金额:
$ 83.82万 - 项目类别:
Standard Grant
CCS Workshops Organization Supplement
CCS 研讨会组织补充
- 批准号:
1054001 - 财政年份:2010
- 资助金额:
$ 83.82万 - 项目类别:
Standard Grant
TC:Medium: Collaborative Research: Towards Formal, Risk Aware Authorization
TC:中:协作研究:迈向正式的、具有风险意识的授权
- 批准号:
0963715 - 财政年份:2010
- 资助金额:
$ 83.82万 - 项目类别:
Continuing Grant
TC:Medium:Collaborative Research:Techniques to Retrofit Legacy Code
TC:中:协作研究:改造遗留代码的技术
- 批准号:
0905442 - 财政年份:2009
- 资助金额:
$ 83.82万 - 项目类别:
Standard Grant
相似国自然基金
转基因水稻中不同反义Sbe基因结构对抑制胚乳支链淀粉合成效果的比较
- 批准号:30300226
- 批准年份:2003
- 资助金额:20.0 万元
- 项目类别:青年科学基金项目
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