CSR: Small: Collaborative Research: SEMOIS: Secure Mobile Information Sharing System

CSR：小型：协作研究：SEMOIS：安全移动信息共享系统

• 批准号: 1016296
• 负责人: Mooi-Choo Chuah
• 金额: $ 25.77万
• 依托单位: Lehigh University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1016296&HistoricalAwards=false
• 关键词: CSR; Small; Collaborative; Research; SEMOIS

Rapid advancement of the wireless technologies provide new opportunities for mobile users to have easy access to real-time data, derive useful social information, and stay connected with business partners, colleagues and friends. Towards this end, mobile social networking applications have recently emerged to meet these needs. Current mobile social networking applications do not support advanced context-based services. Additionally, serious security and privacy concerns have been raised when accessing social networking applications either from fixed locations or on-the-go. This project aims to build a secure mobile information sharing system (SEMOIS) that supports secure and privacy-preserving real-time information sharing. SEMOIS has the ability to store secure data items with flexible access control at insecure storage nodes and enables users to send context-based messages with late-binding features. SEMOIS achieves data confidentiality and privacy-preserving through data encryption and encrypted search, and enables intentional name based message dissemination without apriori knowledge of recipients. Additionally, a set of smart learning methods are developed to extract short-term and long-term geo-social patterns from multimodal sensing data collected by mobile devices for social networking purposes, e.g., geo-social patterns are used to derive hidden communities. Project results are expected to advance the state of the art techniques for supporting secure and privacy-preserving mobile social networks with a variety of innovative features. The project equips both graduate and undergraduate students with the necessary background and practical skills for survival in the emerging job market and further contributes to the development of the pervasive computing field. In addition, SEMOIS can be used by middle and high school students from the Tri-State area that participate in the CHOICES and NSF-funded STEM program organized by Lehigh University.

无线技术的快速发展为移动用户提供了新的机会，可以方便地访问实时数据，获取有用的社会信息，并与业务伙伴、同事和朋友保持联系。为此，最近出现了移动社交网络应用程序来满足这些需求。当前的移动社交网络应用程序不支持高级的基于上下文的服务。此外，无论是在固定地点还是在移动中访问社交网络应用程序，都引发了严重的安全和隐私问题。本项目旨在建立一个安全的移动信息共享系统（SEMOIS），支持安全且保护隐私的实时信息共享。SEMOIS能够在不安全的存储节点上存储具有灵活访问控制的安全数据项，并使用户能够发送具有后绑定特性的基于上下文的消息。SEMOIS通过数据加密和加密搜索实现数据保密性和隐私保护，并实现基于名称的有意消息传播，而无需事先了解接收方。此外，开发了一套智能学习方法，从移动设备收集的用于社交网络目的的多模态遥感数据中提取短期和长期地理社会模式，例如，使用地理社会模式来获取隐藏社区。预计项目成果将推动最先进的技术，以支持具有各种创新功能的安全和保护隐私的移动社交网络。该项目为研究生和本科生提供在新兴就业市场中生存所需的背景和实践技能，并进一步促进普适计算领域的发展。此外，SEMOIS还可用于参加由里海大学组织的CHOICES和nsf资助的STEM项目的三州地区的初高中学生。