课题基金 / 基金详情

NSF Student Travel Grant for 2019 ACM Conference on Computer and Communications Security (ACM CCS)

NSF Student Travel Grant for 2019 ACM Conference on Computer and Communications Security (ACM CCS)
2019 年 ACM 计算机和通信安全会议 (ACM CCS) 的 NSF 学生旅行补助金
批准号:
2001093
负责人:
Daniel Takabi
金额:
$2.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-09-01 至 2020-06-30

项目摘要

项目成果

Daniel Takabi的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The annual ACM Conference on Computer and Communications Security (ACM CCS) is a top-tier venue for quick and wide dissemination of cutting-edge research results in computer and communications security. The conference achieves this by hosting several technical sessions, in-depth tutorials poster sessions, panels and workshops. The conference also invites leading researchers every year for keynote talks. They present seminars on some of the most intriguing and pressing challenges in the discipline, highlighting open avenues for further work in these areas. The 2019 ACM CCS will consist of approximately 140 technical papers across a wide spectrum of computer and network security and privacy domains. Participation in the conference is a valuable opportunity to students and is an important part of graduate education in cyber-security.This award provides travel support to encourage participation in the 2019 ACM Conference on Computer and Communications Security by students who would normally find it difficult to attend. Criteria for selection include evidence of a serious interest in the field as demonstrated by statement of research, CV showing research output, coursework and/or project experience, etc. Organizers encourage participation of women and students from other under-represented groups.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
SaTC: EDU: Secure and Private Artificial Intelligence
SaTC: CORE: Small: An Attribute-based Insider Threat Mitigation Framework
Building Cybersecurity Analytics Capacity in Big Data Era: Developing Hands-on Labs for Integrating Data Science into Cybersecurity Curriculum
CyberTraining: Implementation: Small: Building Future Research Workforce in Trustworthy Artificial Intelligence (AI)
海外基金