CAREER: Securing Cyberspace: Gaining Deep Insights into the Online Underground Ecosystem
CAREER: Securing Cyberspace: Gaining Deep Insights into the Online Underground Ecosystem
批准号:
1845138
负责人:
Yanfang Ye
金额:
$50.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-04-01 至 2019-09-30
中文摘要
随着互联网变得越来越普遍,它为网络犯罪提供了一个低风险的避风港-非法活动,如黑客和在线诈骗。网上地下生态系统越来越多地为网络犯罪提供了便利,在这种生态系统中,有匿名论坛和所谓的暗网平台,供网络犯罪分子交流知识和进行非法产品和服务贸易。为了更好地保护网络空间内合法机构和用户的信任,并破坏或减轻非法市场的危害,迫切需要深入了解在线地下生态系统并了解其错综复杂的关系。该项目的目标是设计和开发一个综合计算框架,用于深入调查在线地下生态系统,从而通过对网络犯罪进行数据驱动的干预,帮助保护网络空间。研究将有三个主要部分。首先,研究团队将设计方法并开发算法和可扩展技术,以自动分析在线地下市场。其次,该团队将开发一个新的跨市场用户识别和分析框架。第三,团队将设计一个创新的模型,并提出算法,用于网络犯罪社交网络的结构分析,以深入了解网络犯罪分子在生态系统中的组织和运作。这项工作的更广泛影响包括通过制定针对网上犯罪的干预措施,为用户保护网络空间,使科学界和整个社会受益。通过该项目建立网络安全实验室将加强网络安全方面的教育和劳动力培训。该项目通过课程开发、代表性不足的群体的参与以及新设立的网络安全学位课程的学生辅导活动,将研究与教育相结合。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
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.
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