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CREST Center for Security and Privacy Enhanced Cloud Computing (C-SPECC)

CREST 安全和隐私增强云计算中心 (C-SPECC)

基本信息

批准号：
1736209
负责人：
Ravinderpal Sandhu
金额：
$ 500万
依托单位：
University of Texas at San Antonio
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1736209&HistoricalAwards=false
关键词：
CREST Center Security Privacy Enhanced

项目摘要

The Centers of Research Excellence in Science and Technology (CREST) program supports the enhancement of research capabilities of minority-serving institutions through the establishment of centers that effectively integrate education and research. CREST promotes the development of new knowledge, enhancements of the research productivity of individual faculty, and an expanded presence of students historically underrepresented in science, technology, engineering, and mathematics disciplines. The Center's research topic is of national importance and complexity as security and privacy are two main factors limiting the acceptance of Cloud Computing technology. The Center also addresses the national need to fulfill the shortage of a well-prepared cyber security workforce. The Center encompasses the University of Texas at San Antonio Colleges of Science, Engineering, Business and Education. It will partner with a San Antonio headquartered cloud service provider, Northside Independent School District, and the National Institute of Standards and Technology.The University of Texas at San Antonio will establish a multi-disciplinary Center for Security and Privacy Enhanced Cloud Computing dedicated to integrated education and research at the intersection of cloud computing and cyber security. Center goals are: (i) to become nationally recognized for excellence in research, innovation and education in security and privacy enhanced cloud computing, (ii) to increase the participation of underrepresented groups in STEM professions, especially high technology computing, and (iii) to pursue innovative research-based educational strategies for grades 8-12, undergraduate and graduate students in this field. The Center articulates three research thrusts: Protection, Detection and Policy. The Protection sub-project will develop access control, private computing and protected computing technologies for cloud computing. The Detection sub-project will focus on system and host monitoring techniques to detect anomalous activity in a cloud along with digital forensic techniques for cloud-based systems. The Policy sub-project will research policy specification, composition and verification techniques for secure cloud computing.

科学和技术卓越研究中心(CREST)计划通过建立有效整合教育和研究的中心，支持加强少数群体服务机构的研究能力。CREST促进了新知识的发展，提高了个别教师的研究效率，并扩大了在科学、技术、工程和数学学科中历来代表性不足的学生的存在。该中心的研究课题具有全国性的重要性和复杂性，因为安全和隐私是限制云计算技术被接受的两个主要因素。该中心还解决了国家需要填补训练有素的网络安全劳动力短缺的问题。该中心包括德克萨斯大学圣安东尼奥分校的科学、工程、商业和教育学院。它将与总部位于圣安东尼奥的云服务提供商北区独立学区和国家标准与技术研究所合作。圣安东尼奥的德克萨斯大学将建立一个多学科安全和隐私增强云计算中心，致力于云计算和网络安全交叉点的综合教育和研究。中心的目标是：(I)在安全和隐私增强的云计算领域的研究、创新和教育方面获得全国认可，(Ii)增加STEM专业中代表性不足的群体的参与，特别是高科技计算，以及(Iii)在该领域为8-12年级、本科生和研究生实施创新的研究型教育战略。该中心阐述了三个研究重点：保护、检测和政策。保护子项目将为云计算开发访问控制、私有计算和受保护计算技术。检测子项目将侧重于系统和主机监控技术，以检测云中的异常活动，以及基于云的系统的数字取证技术。策略子项目将研究安全云计算的策略规范、组合和验证技术。

项目成果

期刊论文数量（119）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

CSOD: Context-Sensitive Overflow Detection

DOI：
10.1109/cgo.2019.8661198
发表时间：
2019-02
期刊：
2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)
影响因子：
0
作者：
Hongyu Liu;Sam Silvestro;Xiaoyin Wang;Lide Duan;Tongping Liu
通讯作者：
Hongyu Liu;Sam Silvestro;Xiaoyin Wang;Lide Duan;Tongping Liu

Edge Computing and Deep Learning Enabled Secure Multitier Network for Internet of Vehicles