SBIR Phase II: SecureVault Cloud Platform

SBIR 第二阶段:SecureVault 云平台

基本信息

  • 批准号:
    1329509
  • 负责人:
  • 金额:
    $ 73.01万
  • 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 2017-04-30
  • 项目状态:
    已结题

项目摘要

This Small Business Innovation Research (SBIR) Phase II project will design and build a technology platform that allows cloud infrastructures to run clients' tasks with full computation privacy. The cloud provider itself is unable to access to customers' workloads even in the presence of malicious-intent direct physical access to the hardware itself. The technology significantly increases cloud defense capabilities, and provides strong computation privacy, and regulatory compliance guarantees to any regulatory- and security-sensitive customers. This level of security is achieved by (i) endowing a traditional infrastructure with a collaborative security layer of active transparent defense and control, a cloud ?immune system?, and (ii) new mechanisms that allow full computation privacy for outsourced tasks. The immune system has its own control network and can instantly share critical information and react independently for meaningful operation and fast recovery even under sustained attack and severe compromise. It also transparently monitors and accesses the server runtimes and can strongly react and immediately present a united defense across the entire cloud. Moreover, inherent privacy and confidentiality assurances allow safe computation execution and data hosting with full security, even in the case of a compromised curious service provider with full physical access to the infrastructure. The broader impact/commercial potential of this project will manifest itself in all dimensions of our increasingly internet and cloud-reliant society and technology. Because clouds introduce significant risks, technology-backed comprehensive security and privacy assurances are essential to establish cloud computing as a truly viable alternative to in-house IT. Unfortunately, these guarantees are not achievable with any of today's offerings or research efforts, despite being direly needed by all major potential cloud adopters, including financial, governmental and healthcare markets, heavily governed by security, regulatory compliance and intellectual property constraints. As a result, rather than risk regulatory compliance breaches, and unauthorized access to proprietary business logic, these major markets have simply not adopted the cloud. Countless surveys outline security and privacy consistently as the top concern preventing adoption, and markets have reacted with strong reservations. This project develops a disruptive technology that bridges this gap and makes cloud adoption secure and attractive in all these markets. As a result it will lead to exponential cross-market growth. Finally, enabling cloud deployment with full computation privacy, regulatory compliance and data confidentiality will significantly increase enterprise agility and competitiveness.
这个小型企业创新研究 (SBIR) 第二阶段项目将设计和构建一个技术平台,允许云基础设施在完全计算隐私的情况下运行客户的任务。即使存在对硬件本身的恶意直接物理访问,云提供商本身也无法访问客户的工作负载。该技术显着增强了云防御能力,并为任何对监管和安全敏感的客户提供强大的计算隐私和监管合规性保证。这种安全级别是通过以下方式实现的:(i) 赋予传统基础设施一个主动透明防御和控制的协作安全层、云“免疫系统”,以及 (ii) 允许外包任务完全计算隐私的新机制。免疫系统拥有自己的控制网络,即使在持续攻击和严重损害的情况下,也可以立即共享关键信息并独立做出反应,进行有意义的操作并快速恢复。它还可以透明地监视和访问服务器运行时,并可以做出强烈反应并立即在整个云中呈现统一防御。此外,固有的隐私和机密性保证允许安全的计算执行和数据托管,具有完全的安全性,即使在受到损害的好奇服务提供商对基础设施具有完全物理访问权限的情况下也是如此。该项目更广泛的影响/商业潜力将体现在我们日益依赖互联网和云的社会和技术的各个方面。由于云会带来重大风险,因此技术支持的全面安全和隐私保证对于将云计算打造为内部 IT 真正可行的替代方案至关重要。不幸的是,尽管所有主要的潜在云采用者(包括金融、政府和医疗保健市场)都迫切需要这些保证,但当今的任何产品或研究工作都无法实现这些保证,这些市场受到安全、监管合规性和知识产权限制的严格控制。因此,这些主要市场根本没有采用云,而不是面临违反监管合规性和未经授权访问专有业务逻辑的风险。无数调查都将安全和隐私列为阻碍采用的首要问题,而市场对此持强烈保留态度。该项目开发了一种颠覆性技术,可以弥补这一差距,并使云采用在所有这些市场中变得安全且有吸引力。因此,它将带来指数级的跨市场增长。最后,实现具有完整计算隐私、法规遵从性和数据机密性的云部署将显着提高企业的敏捷性和竞争力。

项目成果

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Radu Sion其他文献

Thresholding
阈值化
  • DOI:
    10.1007/978-0-387-39940-9_3810
  • 发表时间:
    2024-09-14
  • 期刊:
  • 影响因子:
    0
  • 作者:
    H. Hinterberger;J. Domingo;V. Kashyap;V. Khatri;R. Snodgrass;Paolo Terenziani;Manolis Koubarakis;Yue Zhang;James B. D. Joshi;J. Gamper;Michael H. Böhlen;C. S. Jensen;A. Tansel;Michael H. Böhlen;Peter Revesz;Nikos Mamoulis;Jef Wijsen;R. Snodgrass;Claudio Bettini;X. S. Wang;Sushil Jajodia;C. Dyreson;Dengfeng Gao;J. Chomicki;David Toman;Arie Shoshani;Carlo Combi;Richard T. Snodgrass;K. Torp;John F. Roddick;Ulrich Schiel;Sônia Fern;es Silva;es;F. Gr;i;i;Vassilis Plachouras;M. Lalmas;I. A. El;Ben Carterette;Dou Shen;Hua Li;P. Ferragina;Igor Nitto;Li Zhang;Jian;Gonzalo Navarro;Haoda Huang;Benyu Zhang;Edleno Silva De Moura;Yanli Cai;P. Srinivasan;Jun Yan;Jian Hu;Ning Liu;Marcelo Arenas;M. Breunig;Y. Al;G. Samaras;Serguei Mankovskii;Betsy George;Shashi Shekhar;Omar Alonso;Michael Gertz;Angelo Montanari;Peter Øhrstrøm;P. Hasle;N. Lorentzos;Like Gao;James Caverlee;Hans;Amélie Marian;Erik G. Hoel;P. D. Felice;E. Clementini;B. Kemme;Ralf Hartmut Güting;Gottfried Vossen;D. Shasha;A. Reuter;Gustavo Alonso;Heiko Schuldt;Mirella M. Moro;V. Tsotras;Y. Manolopoulos;Y. Theodoridis;Jean;V. Novák;Leila De Floriani;P. Magillo;Maxime Crochemore;Thierry Lecroq;Zoran Despotovic;Nitin Agarwal;Huan Liu;Radu Sion;Philippe Bonnet;R. Fagin;Lei Chen;Jens Lechtenbörger;G. Lausen;G. Amati
  • 通讯作者:
    G. Amati
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
Stability-based Validation of Clustering
基于稳定性的聚类验证
  • DOI:
    10.1007/978-0-387-39940-9_3674
  • 发表时间:
    2024-09-13
  • 期刊:
  • 影响因子:
    5.7
  • 作者:
    Rodney Topor;Kenneth Salem;Amarnath Gupta;K. Goda;J. Gehrke;N. Palmer;Mohamed Sharaf;Ale;ros Labrinidis;ros;J. Roddick;Ariel Fuxman;Renée J. Miller;Wang;Anastasios Kementsietsidis;Philippe Bonnet;D. Shasha;R. 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;E. Fernández;M. Kantarcioglu;Jaideep Vaidya;Indrakshi Ray;A. Vakali;Cristina Sirangelo;E. Pitoura;H. Gupta;Surajit Chaudhuri;G. Weikum;U. Leser;David W. Embley;Fausto Giunchiglia;P. Shvaiko;Mikalai Yatskevich;Edward Y. Chang;C. Parent;S. Spaccapietra;E. Zimányi;G. Anadiotis;S. Kotoulas;R. Siebes;G. Antoniou;D. Plexousakis;J. Bailey;François Bry;Tim Furche;Sebastian Schaffert;David Martin;Gregory D. Speegle;K. Ramamritham;P. Chrysanthis;K. Sattler;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;Gu;ong Xu;ong;R. Snodgrass;Alan Fekete;M. Herzog;Konstantinos Morfonios;Y. Ioannidis;E. Wohlstadter;M. Matera;F. Schwagereit;Steffen Staab;K. Fraser;Jingren Zhou;M. Mokbel;W. Aref;M. Moro;Markus Schneider;Panos Kalnis;G. Ghinita;M. F. Goodchild;Shashi Shekhar;James M. Kang;Vijay G;hi;hi;N. Mamoulis;Betsy George;M. Scholl;A. Voisard;R. H. Güting;Yufei Tao;Dimitris Papadias;P. Revesz;G. Kollios;E. Frentzos;Apostolos N. Papadopoulos;B. Thalheim;J. Pehcevski;Benjamin Piwowarski;S. Theodoridis;K. Koutroumbas;George Karabatis;D. Chamberlin;P. Bernstein;Michael H. Böhlen;J. Gamper;Ping Li;K. Subieta;S. Harizopoulos;Ethan Zhang;Yi Zhang;Theodore Johnson;Hans;S. Fienberg;Jiashun Jin;Radu Sion;C. Paice;Nikos Hardavellas;Ippokratis P;is;is;Edie M. Rasmussen;Hiroshi Yoshida;G. Graefe;B. Reiner;K. 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;M. Consens;M. Lalmas;R. Baeza;D. Hiemstra;Peer Kröger;Arthur Zimek;Nick Craswell;C. Leung;Maxime Crochemore;T. Lecroq;A. Shoshani;Jimmy Lin;Hw Yu;David B. Lomet;H. Hinterberger;Ninghui Li;Phillip B. Gibbons;Mouna Kacimi;Thomas Neumann
  • 通讯作者:
    Thomas Neumann
On Watermarking Numeri SetsCERIAS TR 2001-60 ?
关于水印数字集CERIAS TR 2001-60?
  • DOI:
  • 发表时间:
    2001
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Radu Sion;Mikhail Atallah;Sunil;PrabhakarComputer
  • 通讯作者:
    PrabhakarComputer
Data Gathering
数据收集
  • DOI:
    10.1007/978-0-387-39940-9_2355
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    T. Risch;Turkmen Canli;A. Khokhar;Jun Yang;Kamesh Munagala;Adam Silberstein;P. Chrysanthis;E. Pitoura;Venkatesh Ganti;Amol Deshpande;H. Do;James Caverlee;Ninghui Li;L. Gruenwald;Lucian Popa;A. Kansal;Feng Zhao;A. Poulovassilis;M. Herzog;Il;Jiawei Han;Daniel J. Abadi;David P. Hansen;Christine O’Keefe;Theodore Johnson;Amarnath Gupta;C. Batini;K. Sattler;M. Scannapieco;J. Domingo;Rui Zhang;B. Kemme;Qing Zhang;Xuemin Lin;Luc Bouganim;Philip B. Gibbons;Lukasz Golab;Yanif Ahmad;U. Çetintemel;S. Prabhakar;R. Cheng;H. Hinterberger;M. Golfarelli;J. Eder;Karl Wiggisser;Panos Vassiliadis;C. Blanco;E. Fernández;Juan Trujillo;M. Piattini;Shawn N. Murphy;E. Chen;Changqing Li;Xue Li;M. Mattoso;M. Gyssens;J. Mylopoulos;S. Madden;K. Goda;Pat Helland;C. Amza;L. Bertossi;Jean;J. Henrard;V. Englebert;D. Roland;Jean;Elena Ferrari;Biswanath Panda;J. Gehrke;Mirek Riedewald;Mikael Berndtsson;J. Mellin;Surajit Chaudhuri;Vivek R. Narasayya;G. Weikum;Nicolas Bruno;Grigoris Karvounarakis;A. Gokhale;E. Cohen;T. Lin;Alin Dobra;Timothy Roscoe;T. Lin;R. Kaushik;K. Chang;M. Moro;V. Tsotras;Daniel A. Keim;Peter Bak;Matthias Schäfer;M. Ester;A. Borgida;A. Maurino;P. Mitra;Cristina Sirangelo;R.W. Moore;G. Janée;L. Floriani;P. Magillo;V. Srinivasan;Seungwon Yang;Edward A. Fox;Radu Sion;B. Carminati;T. Pedersen;H. Shen;Chris H. Q. Ding;E. Clementini;A. Blackwell;M. Costabile;K. Wada;K. Järvelin;Jaana Kekäläinen;S. Dustdar;Christian Platzer;Bernd J. Krämer;Minos N. Garofalakis;Gail;P. Boncz;Carpendale Sheelagh;M. Weske;Kian;S. Elnikety;W. Tok;Wojciech Galuba;Sarunas Girdzijauskas;Stéphane Bressan;Panos Kalnis;G. Amati;E. Munson;Ying‐tong Zhao;G. Karypis;Frank Wm. Tompa;Vassilis Plachouras;Ben He;Ethan V. Munson;Mary Laarsgard;D. Cook;M. Matera
  • 通讯作者:
    M. Matera

Radu Sion的其他文献

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{{ truncateString('Radu Sion', 18)}}的其他基金

SaTC: CORE: Small: Efficient Plausible Deniability Systems
SaTC:核心:小型:高效的合理推诿系统
  • 批准号:
    2052951
  • 财政年份:
    2021
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Standard Grant
TTP: Medium: A Campus Pilot For A Privacy-Enabled Cloud Storage, Search, and Collaboration Portal for Education
TTP:Medium:支持隐私的云存储、搜索和协作教育门户的校园试点
  • 批准号:
    1562376
  • 财政年份:
    2016
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Standard Grant
CSR: Small: Collaborative Research: Sensorprint: Hardware-Enforced Information Authentication for Mobile Systems
CSR:小型:协作研究:Sensorprint:移动系统的硬件强制信息认证
  • 批准号:
    1526102
  • 财政年份:
    2015
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Standard Grant
NSFSaTC-BSF: TWC: Small: Practical Plausibly Deniable Encryption through Low-Level Storage Device Behavior
NSFSaTC-BSF:TWC:小:通过低级存储设备行为实现实用的合理可否认加密
  • 批准号:
    1526707
  • 财政年份:
    2015
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Standard Grant
CSR: Small: Collaborative Research: Enabling Cost-Effective Cloud HPC
CSR:小型:协作研究:实现经济高效的云 HPC
  • 批准号:
    1318572
  • 财政年份:
    2013
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Standard Grant
SBIR Phase I: SecureVault Cloud Platform
SBIR 第一阶段:SecureVault 云平台
  • 批准号:
    1212631
  • 财政年份:
    2012
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Standard Grant
CSR: Medium: CloudTracker: Transparent, Secure Provenance Tracking and Security Policy Enforcement in Clouds
CSR:中:CloudTracker:云中透明、安全的来源跟踪和安全策略执行
  • 批准号:
    1161541
  • 财政年份:
    2012
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Continuing Grant
Collaborative Research: Secure Provenance in High-End Computing Systems
协作研究:高端计算系统的安全来源
  • 批准号:
    0937833
  • 财政年份:
    2009
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Standard Grant
CAREER: Practical Privacy for Outsourcing Systems
职业:外包系统的实用隐私
  • 批准号:
    0845192
  • 财政年份:
    2009
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Standard Grant
III-COR Medium: Collaborative Research: Achieving Compliant Databases
III-COR 媒介:协作研究:实现合规数据库
  • 批准号:
    0803197
  • 财政年份:
    2008
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Continuing Grant

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动态疾病队列数据的最优二阶段抽样设计及因果推断
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SBIR Phase II: Low Earth Orbit Navigation System (LEONS) - The Ground Network
SBIR 第二阶段:近地轨道导航系统 (LEONS) - 地面网络
  • 批准号:
    2322418
  • 财政年份:
    2024
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Cooperative Agreement
SBIR Phase II: An Integrated Biomedical Platform and Custom Algorithm to Optimize Feeding Protocols for Preterm Infants
SBIR 第二阶段:用于优化早产儿喂养方案的综合生物医学平台和定制算法
  • 批准号:
    2335207
  • 财政年份:
    2024
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Cooperative Agreement
SBIR Phase II: Design and production of a next generation vaccine to prevent COVID
SBIR 第二阶段:设计和生产下一代预防新冠病毒的疫苗
  • 批准号:
    2313338
  • 财政年份:
    2024
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Cooperative Agreement
SBIR Phase II: A mesh-free, sling-free, minimally invasive treatment for stress urinary incontinence in women
SBIR II 期:无网、无吊带的微创治疗女性压力性尿失禁
  • 批准号:
    2233106
  • 财政年份:
    2024
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Cooperative Agreement
SBIR Phase II: Innovative Two-Phase Cooling with Micro Closed Loop Pulsating Heat Pipes for High Power Density Electronics
SBIR 第二阶段:用于高功率密度电子产品的创新两相冷却微闭环脉动热管
  • 批准号:
    2321862
  • 财政年份:
    2024
  • 资助金额:
    $ 73.01万
  • 项目类别:
    Cooperative Agreement
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