SBIR Phase I: SecureVault Cloud Platform

SBIR 第一阶段:SecureVault 云平台

基本信息

  • 批准号:
    1212631
  • 负责人:
  • 金额:
    $ 15万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-07-01 至 2013-06-30
  • 项目状态:
    已结题

项目摘要

This Small Business Innovation Research Phase I project will design and build SecureVault, 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. SecureVault significantly increases cloud defense capabilities, and provides strong computation privacy, and regulatory compliance guarantees to any regulatory- and security-sensitive customers. SecureVault achieves this 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 SecureVault clouds to safely execute computation and host data 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. In a recent ISACA survey, 45% of over 1,800 corporate IT decision makers affirmed that cloud risks outweigh benefits. SecureVault is a disruptive technology that will bridge this gap and make 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阶段I项目将设计和构建SecureVault,这是一个技术平台,允许云基础架构通过完整的计算隐私来运行客户的任务。即使存在恶意直接对硬件本身的直接物理访问,云提供商本身也无法访问客户的工作负载。 SecureVault大大提高了云防御能力,并为任何监管和安全敏感的客户提供了强大的计算隐私和法规合规性保证。 SecureVault通过(i)使用主动透明防御和控制,云?免疫系统的协作安全层来赋予传统基础架构,以及(ii)允许外包任务完全计算隐私的新机制。免疫系统具有自己的控制网络,即使在持续的攻击和严重的妥协下,也可以立即共享关键信息,并为有意义的操作和快速恢复做出独立反应。它还可以透明地监视并访问服务器运行时,并可以强烈反应并立即在整个云中呈现曼联防御。此外,固有的隐私和机密性保证使SecureVault Cloud可以安全地执行计算并具有完整安全性的主机数据,即使在受到损害的好奇服务提供商的情况下,可以完全访问基础设施。该项目的更广泛的影响/商业潜力也会在我们日益增加的Internet和Cloud-Reliant Society和Clough-Reliant社会和技术方面表现出来。由于云引入了重大风险,因此技术支持的综合安全性和隐私保证对于建立云计算作为内部内部的真正可行替代方案至关重要。不幸的是,尽管所有主要潜在的云采用者都非常需要,包括金融,政府和医疗保健市场,但受到安全,法规合规性和知识产权限制的严格影响,这些保证是无法实现的。结果,这些主要市场根本没有采用云。无数的调查概述概述安全性和隐私始终是阻止采用的最大关注点,并且市场对强烈的保留产生了反应。在最近的伊萨卡(Isaca)调查中,有1,800多家公司IT决策者中有45%确认云风险超过了收益。 SecureVault是一项破坏性的技术,它将弥合这一差距,并使云采用在所有这些市场中都具有安全和吸引力。结果,这将导致指数式跨市场增长。最后,通过完整的计算隐私,监管合规性和数据机密性实现云部署将大大提高企业敏捷性和竞争力。

项目成果

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Radu Sion其他文献

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
INVISILINE : Invisible Plausibly-Deniable Storage
INVISILINE :隐形的可否认的存储
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sandeep Kiran Pinjala;Bogdan Carbunar;Anrin Chakraborti;Radu Sion
  • 通讯作者:
    Radu Sion
A grid-based approach for enterprise-scale data mining
  • DOI:
    10.1016/j.future.2006.04.003
  • 发表时间:
    2007-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Ramesh Natarajan;Radu Sion;Thomas Phan
  • 通讯作者:
    Thomas Phan
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
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

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:
    $ 15万
  • 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:
    $ 15万
  • 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:
    $ 15万
  • 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:
    $ 15万
  • 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:
    $ 15万
  • 项目类别:
    Standard Grant
SBIR Phase II: SecureVault Cloud Platform
SBIR 第二阶段:SecureVault 云平台
  • 批准号:
    1329509
  • 财政年份:
    2013
  • 资助金额:
    $ 15万
  • 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:
    $ 15万
  • 项目类别:
    Continuing 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:
    $ 15万
  • 项目类别:
    Standard 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:
    $ 15万
  • 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:
    $ 15万
  • 项目类别:
    Continuing Grant

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