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SID: An Exploration of Super-Identity

SID: An Exploration of Super-Identity
SID:超级身份的探索
批准号:
EP/J004995/1
负责人:
Sarah Stevenage
金额:
$242.77万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2011
资助国家:
英国
项目状态:
已结题
起止时间:
2011 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
The capacity to identify one another is paramount. It underpins social dialogue, commercial transactions, individual entitlements to goods and services and issues of legal and criminal responsibility. In today's society, each of these activities can take place both within the real world and the cyber world making the concept of identity, and the process of identification, more challenging than ever before. The SID project addresses this challenge through an ambitious and innovative programme of work, bringing together experts from a diverse spectrum of scientific domains ranging from automated biometrics, cyber-psychology, forensic anthropology, human-computer interaction, mathematical modelling, and complex data visualisation. In addition, the project is backed by key industrial and governmental stakeholders, represented through an Advisory Group and providing direct input throughout the project.The first stage of the project is to define the set of identity measures of interest and to gather relevant datasets either from existing resources, or through active data collection from participants across diverse demographic populations. Our measures of interest will fall into four categories: static and behavioural measures in the real world; and static and behavioural measures in the cyber world. These measures will be the basis for our model of Super-Identity, and their selection will be informed by the input of analysts, and end-users within intelligence, e-commerce and forensic sectors. At this early stage, and throughout the life of the project, we explicitly examine the social, legal and ethical considerations associated with data privacy and data protection. Work Package 1 addresses these issues.Once this framework is in place, extensive testing will be conducted to determine the accuracy and reliability of automated and human identification from each measure. This will determine (i) the confidence that should be attributed to each measure, (ii) the effect that changing contexts may have on that measure and (iii) the potential relationship between measures. The results of this phase of work will continually update our Super-Identity model enabling measures to be combined, cross-referenced, and weighted according to their individual confidence estimates. Work Package 2 addresses these issues.Consideration of how to present the information to the end user is the crucial next stage. With the benefit of expertise in human computer interaction and data visualisation, and the participatory engagement from end-users, the model will be refined with specific attention to its visual presentation in a flexible yet intuitive format. Work Package 3 addresses these issues.In combination, SID provides fusion of known measures, revelation of unknown measures, and quantification of certainty associated with each measure, and thus the identification decision overall. In this way, it provides a step-change in the way that we think about identity and identification, and in the value that it might hold for the real world.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
A Data-Reachability Model for Elucidating Privacy and Security Risks Related to the Use of Online Social Networks
用于阐明与在线社交网络使用相关的隐私和安全风险的数据可达性模型
DOI: --
发表时间: 2012
期刊:
影响因子: --
作者: [Creese S.]
通讯作者: Creese S.
Exploring physical and digital identity with a teenage cohort
与青少年群体一起探索身体和数字身份
DOI: 10.1145/2593968.2593984
发表时间: 2014
期刊:
影响因子: --
作者: [Emanuel L]
通讯作者: Emanuel L
Pathways to identity: using visualization to aid law enforcement in identification tasks
身份识别途径:使用可视化帮助执法部门执行身份识别任务
DOI: 10.1186/s13388-014-0012-6
发表时间: 2014
期刊: Security Informatics
影响因子: --
作者: [Bruce J]
通讯作者: Bruce J
Superidentity: Fusion of Identity across real and cyber domains
超级身份:现实和网络领域的身份融合
DOI: --
发表时间: 2012
期刊:
影响因子: --
作者: [Black S.]
通讯作者: Black S.
6
    Hummingbird: Human-machine integration for biometric authentication
    • 批准号:
      EP/R030839/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $36.74万
    • 财政年份:
      2018
    • 负责人:
      Sarah Stevenage
    • 依托单位:
    海外基金