课题基金 / 基金详情

REU Site: Data-driven Security

REU Site: Data-driven Security
REU 站点:数据驱动的安全
批准号:
1950599
负责人:
Francesca Spezzano
金额:
$36.45万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-02-01 至 2025-01-31

项目摘要

项目成果

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中文摘要
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英文摘要
This award establishes a new Research Experiences for Undergraduates (REU) Site focused on data-driven security at Boise State University. Data-driven security is an emerging interdisciplinary field that applies data science and artificial intelligence to mitigate cyberattacks and other security risks and threats. Undergraduate students will participate in summer research activities with faculty mentors from the computer science and mathematics disciplines. The students will work in teams to explore important research questions and will also participate in other professional development activities that will prepare them for future careers in the computing fields. The site will target students from groups traditionally under-represented in computer science as well as students from two-year colleges in the Pacific Northwest.The REU Site will feature transformative interdisciplinary research in the field of data-driven security. Research problems include: a novel data-driven approach to learn the characteristic function of a coalition game that models a covert network to improve key actor identification; new approaches to detect misbehavior and mitigate misinformation; innovative robust traffic-flow behavioral model extraction for detecting anomalous situations in enterprise networks; development of new lightweight cryptographic algorithms that are robust to both algorithmic weaknesses and side-channel attacks performed with machine learning. All of the research requires deep integration of data science, artificial intelligence, mathematics, and security. Students will learn to work in teams and communicate their results to a diverse audience by participating in activities that use investigative methodologies based on constructive dialogue and collaborative design. The projects have the potential to broaden knowledge in several domains, including game theory, intrusion detection systems, misinformation mitigation, and lightweight cryptography.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(8)
专著(0)
科研奖励(0)
会议论文
DOI: --
发表时间: 2022
期刊: Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence - Student Abstract and Poster Program
影响因子: --
作者: [Fairbanks, J., Orbe, A., Patterson, C., Serra, E., Scheepers, M.]
通讯作者: Scheepers, M.
Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract)
基于深度学习的轻量级密码学侧信道攻击(学生摘要)
DOI: --
发表时间: 2022
期刊: Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence - Student Abstract and Poster Program
影响因子: --
作者: [Benjamin, A., Herzoff, J., Babinkostova, L., and Serra, E.]
通讯作者: and Serra, E.
GAPS: Generality and Precision with Shapley Attribution
GAPS:Shapley 归因的通用性和精确性
DOI: --
发表时间: 2022
期刊: 2022 {IEEE} International Conference on Big Data (Big Data
影响因子: --
作者: [Daley, Brian, Ratul, Qudrat E, Serra, E., Cuzzocrea, Alfredo]
通讯作者: Cuzzocrea, Alfredo
Modeling Misinformation Diffusion in Social Media: Beyond Network Properties
对社交媒体中的错误信息扩散进行建模:超越网络属性
DOI: 10.1109/cogmi52975.2021.00030
发表时间: 2021
期刊: 2021
影响因子: --
作者: [Spezzano, Francesca]
通讯作者: Spezzano, Francesca
8
    CAREER: Enhanced Analysis & Algorithms to Minimize the Spread of Misinformation in Social Networks
    • 批准号:
      1943370
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $48.75万
    • 财政年份:
      2020
    • 负责人:
      Francesca Spezzano
    • 依托单位:
    国内基金
    海外基金
    具有共形结构的高性能Ta4SiTe4基有机/无机复合柔性热电薄膜
    新型WDR5蛋白Win site抑制剂的合理设计、合成及其抗肿瘤活性研究
    • 批准号:
      82103981
    • 项目类别:
      青年科学基金项目(C类)
    • 资助金额:
      30.0万元
    • 批准年份:
      2021
    • 负责人:
      陈维琳
    • 依托单位:
    基于重要农地保护LESA(Land Evaluation and Site Assessment)体系思想的高标准基本农田建设研究
    • 批准号:
      41340011
    • 项目类别:
      专项基金项目
    • 资助金额:
      20.0万元
    • 批准年份:
      2013
    • 负责人:
      钱凤魁
    • 依托单位: