课题基金 / 基金详情

CAREER: Securing Cyberspace: Gaining Deep Insights into the Online Underground Ecosystem

CAREER: Securing Cyberspace: Gaining Deep Insights into the Online Underground Ecosystem
职业:保护网络空间:深入了解在线地下生态系统
批准号:
2203261
负责人:
Yanfang Ye
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-11-01 至 2025-03-31

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中文摘要
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英文摘要
As the Internet becomes increasingly ubiquitous, it offers a low-risk harbor for cybercrime -- illegal activities such as hacking and online scams. Cybercrime is increasingly enabled by an online underground ecosystem, within which are anonymous forums and so-called dark web platforms for cybercriminals to exchange knowledge and trade in illicit products and services. To better protect the trust of legitimate institutions and users within cyberspace, and to disrupt or mitigate the harm of illegal markets, there is an urgent need to gain deep insights into the online underground ecosystem and understand its intricate relationships. The goal of this project is to design and develop an integrated computational framework for in-depth investigation of the online underground ecosystem and thus to help secure cyberspace by producing data-driven interventions of cybercrimes. The research will have three main parts. First, the research team will design methods and develop algorithmic and scalable techniques to automate the analysis of online underground markets. Second, the team will develop a novel framework for cross-market user identification and profiling. Third, the team will design an innovative model and propose algorithms for structural analysis of cybercriminal social networks to gain deep insights into the organization and operation of cybercriminals in the ecosystem. The broader impacts of this work include benefits to scientific communities and society as a whole by developing interventions into online crime to secure cyberspace for its users. The establishment of a cybersecurity lab through this project will enhance education and workforce training in cybersecurity. The project integrates research with education through curriculum development, the participation of underrepresented groups, and student mentoring activities for a newly-established cybersecurity degree program.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(37)
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会议论文
Back-Propagating System Dependency Impact for Attack Investigation
攻击调查的反向传播系统依赖性影响
DOI: --
发表时间: 2022
期刊: USENIX Security Symposium
影响因子: --
作者: [Fang, Pengcheng, Gao, Peng, Liu, Changlin, Ayday, Erman, Jee, Kangkook, Wang, Ting, Ye, Yanfang, Liu, Zhuotao, Xiao, Xusheng]
通讯作者: Xiao, Xusheng
DOI: 10.1145/3534678.3539324
发表时间: 2022-08
期刊: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
影响因子: --
作者: [Y. Qian;Yiming Zhang;Qianlong Wen;Yanfang Ye;Chuxu Zhang]
通讯作者: Y. Qian;Yiming Zhang;Qianlong Wen;Yanfang Ye;Chuxu Zhang
A Head Start Matters: Dynamic-Calibrated Representation Alignment and Uniformity for Recommendations
领先地位很重要:动态校准的表示对齐和建议的一致性
DOI: --
发表时间: 2023
期刊: Proceedings of Machine Learning Research
影响因子: --
作者: [Ouyang, Zhongyu, Hou, Shifu, Zhang, Chunhui, Zhang, Chuxu, Ye, Yanfang]
通讯作者: Ye, Yanfang
DOI: 10.1109/ijcnn55064.2022.9892013
发表时间: 2022-07
期刊: 2022 International Joint Conference on Neural Networks (IJCNN)
影响因子: --
作者: [Shifu Hou;Lingwei Chen;Yanfang Ye]
通讯作者: Shifu Hou;Lingwei Chen;Yanfang Ye
35
    EAGER: A New Explainable Multi-objective Learning Framework for Personalized Dietary Recommendations against Opioid Misuse and Addiction
    • 批准号:
      2334193
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2023
    • 负责人:
      Yanfang Ye
    • 依托单位:
    III: Small: A New Machine Learning Paradigm Towards Effective yet Efficient Foundation Graph Learning Models
    • 批准号:
      2321504
    • 项目类别:
      Standard Grant
    • 资助金额:
      $59.96万
    • 财政年份:
      2023
    • 负责人:
      Yanfang Ye
    • 依托单位:
    D-ISN: An AI-augmented Framework to Detect, Disrupt, and Dismantle Opioid Trafficking Networks
    • 批准号:
      2146076
    • 项目类别:
      Standard Grant
    • 资助金额:
      $100.0万
    • 财政年份:
      2022
    • 负责人:
      Yanfang Ye
    • 依托单位:
    EAGER: An AI-driven Paradigm for Collective and Collaborative Community Resilience in the COVID-19 Era and Beyond
    • 批准号:
      2209814
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2021
    • 负责人:
      Yanfang Ye
    • 依托单位:
    海外基金