SGER: Collaborative Research: Secure and Auditable Privacy Contracts

提案编号：0751069 PI: Bulent Yener机构：Rensselaer理工学院提案编号：0751095 PI: Aggelos Kiayias机构：康涅狄格大学标题：SGER：合作研究：安全与可审计隐私合同提案摘要：网络空间普遍性带来的主要挑战之一是确保“信任”并设计可信赖的系统来支持官方，商业和个人业务的关键基础设施。数以百万计的日常用户通过互联网将他们的个人信息传递给他们的保健提供者、银行、保险公司和其他服务提供者。这些个人信息一旦转移，在许多情况下，就会外包给其他方面（其中一些甚至可能居住在国外）进行存储和处理。它可以出售或转售用于数据挖掘。私人数据的收集、处理和转售是一个价值数百万美元的行业，存在严重的安全和隐私漏洞，包括无意中泄露或丢失数千或数百万人的个人信息。虽然出于商业（例如，市场营销、保险设计）、科学甚至安全原因（例如，确定流行病等公共卫生问题的爆发、生物战实例），显然需要发现知识，但目前，“数据生产者”（即像我们所有人一样的用户）无法控制谁、如何以及究竟对这些私人和敏感数据做了什么。该提案通过引入一种称为安全和可审计隐私合约（SAP-Contracting）的新机制来考虑上述基本问题。SAP-Contract可用于定义隐私级别和数据挖掘数量之间的权衡。这种权衡可以在数据源和数据挖掘者之间进行协商和定制。sap合同精确地定义了可以在人事记录中执行的功能和权限。它旨在弥合隐私需求与数据收集、传输、营销和处理的需求；因此，可以将敏感的私有数据视为商品。SAP-Contracting不同于当前的技术水平，例如保护隐私的数据挖掘方法，因为它不依赖于基于服务器的数据隐藏。它补充和受益于加密数据库的研究。pi建议设计、实现和测试该范式的原型，以建立概念的证明，并显示sap - contract的可证明的安全属性，包括机密性、完整性和可审计性。如果成功，这个项目将提供可证明和可审计的隐私。它将把隐私和数据挖掘研究与不同的经济模型结合起来，并冒险进入新的研究领域。

Proposal Number: 0751069 PI: Bulent Yener Institution: Rensselaer Polytechnic Institute Proposal Number: 0751095 PI: Aggelos Kiayias Institution: University of Connecticut Title: SGER: Collaborative Research: Secure and Auditable Privacy Contracts Proposal Abstract One of the major challenges imposed by the pervasiveness of cyberspace is to ensure ``trust'' and design trustworthy systems to support the critical infrastructure for official, commercial, and personal business. Millions of everyday users pass their personnel information over the Internet to their health-care providers, to their banks, to insurance companies and other service providers. Once such personnel information is transferred, in many cases, it is outsourced to other parties (some of which may even reside in foreign countries) for storage and processing. It may be sold or resold for data mining. The collection, processing and resale of private data is a multi-million dollar industry that has serious security and privacy breaches including inadvertently revealing or loosing the personal information of thousands or millions of people. While there is a clear need for knowledge discovery for commercial (e.g., marketing, insurance design), scientific and even security reasons (e.g., identifying public health problem outbreaks such as epidemics, biological warfare instances), at present, ``data producers'' (i.e., users like all of us) have no control of who, how, and what exactly is done with such private and sensitive data. This proposal considers the above fundamental problem by introducing a novel mechanism called secure and auditable privacy contracting (SAP-Contracting). An SAP-Contract can be used to define a tradeoff between level of privacy and amount of data mining. Such a tradeoff can be negotiated and customized between data sources and data miners. An SAP-Contract defines precisely the functions and permitions that can be performed in personnel records. It aims to bridge the need for privacy with the need for data collection, transfer, marketing and processing; thus, enable sensitive private data to be treated as a commodity. SAP-Contracting is different from the current state of art such as privacy preserving data mining approaches since it does not rely on server based data hiding. It complements and benefits from the research on cryptographic databases. The PIs propose to design, implement and test a prototype of this paradigm to establish a proof of a concept and show provable security properties of SAP-Contracts, including confidentiality, integrity, and auditability. If successful this project will provide provable and auditable privacy. It will marry privacy and data mining research with different economical models and venture into new research areas.