Customized and Adaptive approach for Optimal Cybersecurity Investment

最佳网络安全投资的定制和自适应方法

• 批准号: EP/R004897/1
• 负责人: Pasquale Malacaria
• 金额: $ 49.54万
• 依托单位: Queen Mary University of London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FR004897%2F1
• 关键词: Customized; Adaptive; approach; Optimal; Cybersecurity

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

目前GtR中并没有所有资助研究的摘要。这通常是因为在提交提案时不需要摘要，但也可能是因为摘要中包含个人详细信息等敏感信息。

项目成果

Optimization-Time Analysis for Cybersecurity

网络安全优化时间分析

• DOI: 10.1109/tdsc.2021.3055981
• 发表时间: 2022
• 期刊: IEEE Transactions on Dependable and Secure Computing
• 影响因子: 7.3
• 作者: Zhang Y

Optimal Security Hardening over a Probabilistic Attack Graph

概率攻击图上的最佳安全强化

• DOI: 10.1145/3510547.3517919
• 发表时间: 2022
• 作者: Buczkowski P

Malware Detection Using 1-Dimensional Convolutional Neural Networks

• DOI: 10.1109/eurospw.2019.00034
• 发表时间: 2019-06
• 期刊: 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)
• 作者: Arindam Sharma;P. Malacaria;M. Khouzani

Scalable min-max multi-objective cyber-security optimisation over probabilistic attack graphs

• DOI: 10.1016/j.ejor.2019.04.035
• 发表时间: 2019-11
• 期刊: Eur. J. Oper. Res.
• 作者: M. Khouzani;Zheng-Long Liu;P. Malacaria

Bayesian Stackelberg games for cyber-security decision support

• DOI: 10.1016/j.dss.2021.113599
• 发表时间: 2021-05
• 期刊: Decis. Support Syst.
• 作者: Yunxiao Zhang;P. Malacaria