Mitigating presentation attacks in remote identity proofing (MIMER): Pakistan in Focus
减轻远程身份验证 (MIMER) 中的演示攻击:巴基斯坦焦点
基本信息
- 批准号:EP/Y002288/1
- 负责人:
- 金额:$ 22.49万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2024
- 资助国家:英国
- 起止时间:2024 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The shift towards digital channels for financial transactions due to the COVID-19 pandemic has led to an increase in fraudulent financial transactions in low-middle-income countries like Pakistan due to weak remote identity proofing (RIDP) processes. The existing methods of verifying a person's identity through electronic means, such as facial recognition, can be easily deceived by advancements in artificial intelligence, such as deep fakes. These deep fakes are much more successful in bypassing the verification process than traditional methods. As a result, there is a lack of trust among users, particularly in countries like Pakistan, where cash is still widely used, in adopting mobile technologies for accessing banking services. This hinders the government's efforts to increase financial and digital inclusion for millions of underbanked individuals.The goal of the MIMER project is to develop a robust authentication method that can protect remote identity verification systems from emerging identity spoofing attacks. The objective is to create a mechanism that is specifically tailored to the conditions in Pakistan by creating detection models that are adapted to local language and other specific characteristics. The project will also focus on developing a framework for detecting audio and visual forgeries, making it resistant to anti-forensics and multi-spoofing attacks, and well-suited for real-world scenarios. The project is aligned with various sustainable development goals and addresses the needs of the partner country, particularly by developing a secure and reliable remote identity verification system. This will lead to the creation of robust digital and financial services and decrease the risk of identity theft crimes.The research will be carried out through a seamless collaboration between The University of Glasgow, the University of Engineering and Technology Taxila, Pakistan, and an industrial partner, stech.ai. The focus of the project is to establish sustainable partnerships, network with policymakers within the UK and Pakistan, and co-create knowledge to address the challenges related to developing a secure and reliable remote identity verification system while working towards a common strategic theme of "building a secure and resilient world."
新冠肺炎疫情导致金融交易向数字渠道的转变,导致巴基斯坦等中低收入国家的欺诈性金融交易增加,原因是远程身份验证流程薄弱。现有的通过电子手段验证个人身份的方法,如面部识别,很容易被人工智能的进步所欺骗,如深度假冒。与传统方法相比,这些深度伪装在绕过验证过程方面要成功得多。因此,在采用移动技术访问银行服务方面,用户缺乏信任,特别是在巴基斯坦等现金仍被广泛使用的国家。这阻碍了政府为数百万银行账户不足的个人增加金融和数字包容性的努力。MIMER项目的目标是开发一种强大的身份验证方法,可以保护远程身份验证系统免受新出现的身份欺骗攻击。其目标是通过建立适应当地语言和其他具体特征的检测模式,建立一种专门针对巴基斯坦条件的机制。该项目还将专注于开发一个检测音频和视频伪造的框架,使其能够抵抗反取证和多重欺骗攻击,并非常适合现实世界的场景。该项目与各种可持续发展目标保持一致,并满足伙伴国家的需要,特别是通过开发安全可靠的远程身份核查系统。这将导致创建强大的数字和金融服务,并降低身份盗窃犯罪的风险。这项研究将通过格拉斯哥大学、巴基斯坦塔希拉工程技术大学和工业合作伙伴stech.ai之间的无缝合作进行。该项目的重点是建立可持续的合作伙伴关系,与英国和巴基斯坦的政策制定者建立网络,并共同创造知识,以应对与开发安全可靠的远程身份验证系统相关的挑战,同时努力实现共同的战略主题,即“建设一个安全和有弹性的世界”。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ahmed Zoha其他文献
Automated Classification of Phonetic Segments in Child Speech Using Raw Ultrasound Imaging
使用原始超声成像对儿童语音中的语音片段进行自动分类
- DOI:
10.5220/0012592700003657 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Saja Al Ani;J. Cleland;Ahmed Zoha - 通讯作者:
Ahmed Zoha
UAV-assisted 5G Networks for Optimised Coverage Under Dynamic Traffic Load
无人机辅助 5G 网络在动态流量负载下优化覆盖
- DOI:
10.1109/ap-s/usnc-ursi47032.2022.9886848 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Iftikhar Ahmad;Jaspreet Kaur;H. Abbas;Q. Abbasi;Ahmed Zoha;Muhammad Ali Imran;S. Hussain - 通讯作者:
S. Hussain
Outage Detection Framework for Energy Efficient Communication Network
节能通信网络的中断检测框架
- DOI:
10.1007/978-3-319-27568-0_1 - 发表时间:
2016 - 期刊:
- 影响因子:9.3
- 作者:
Ahmed Zoha;Oluwakayode Onireti;Arsalan Saeed;A. Imran;M. Imran;A. Abu - 通讯作者:
A. Abu
A Comparison of Generative and Discriminative Appliance Recognition Models for Load Monitoring
用于负载监控的生成式和判别式电器识别模型的比较
- DOI:
10.1088/1757-899x/51/1/012002 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Ahmed Zoha;M. Imran;A. Gluhak;M. Nati - 通讯作者:
M. Nati
A Non‐Event Based Approach for Non‐Intrusive Load Monitoring
基于非事件的非侵入式负载监控方法
- DOI:
10.1002/9781119552635.ch8 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Ahmed Zoha;Q. Abbasi;M. Imran - 通讯作者:
M. Imran
Ahmed Zoha的其他文献
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