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AP4L: Adaptive PETs to Protect & emPower People during Life Transitions

AP4L: Adaptive PETs to Protect & emPower People during Life Transitions
AP4L:自适应 PET 保护
批准号:
EP/W032473/1
负责人:
Nishanth Sastry
金额:
$356.05万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
AP4L is a 3-year program of interdisciplinary research, centring on the online privacy & vulnerability challenges that people face when going through major life transitions. Our central goal is to develop privacy-by-design technologies to protect & empower people during these transitions. Our work is driven by a narrative that will be familiar to most people. Life often "just happens", leading people to overlook their core privacy and online safety needs. For instance, somebody undergoing cancer treatment may be less likely to finesse their privacy setting on social media when discussing the topic. Similarly, an individual undergoing gender transition may be unaware of how their online activities in the past may shape the treatment into the future. This project will build the scientific and theoretical foundations to explore these challenges, as well as design and evaluate three core innovations that will address the identified challenges. AP4L will introduce a step-change, making online safety and privacy as painless and seamless as possible during life transitionsTo ensure a breadth of understanding, we will apply these concepts to four very different transitions through a series of carefully designed co-creation activities, devised as part of a stakeholder workshop held in Oct'21. These are relationship breakdowns; LBGT+ transitions or transitioning gender; entering/ leaving employment in the Armed Forces; and developing a serious illness or becoming terminally ill. Such transitions can significantly change privacy considerations in unanticipated or counter-intuitive ways. For example, previously enabled location-sharing with a partner may lead to stalking after a breakup; 'coming out' may need careful management across diverse audiences (e.g - friends, grandparents) on social media. We will study these transitions, following a creative security approach, bringing together interdisciplinary expertise in Computer Science, Law, Business, Psychology and Criminology.We will systematise this knowledge, and develop fundamental models of the nature of transitions and their interplay with online lives. These models will inform the development of a suite of technologies and solutions that will help people navigate significant life transitions through adaptive, personalised privacy-enhanced interventions that meet the needs of each individual and bolster their resilience, autonomy, competence and connection. The suite will comprise:(1) "Risk Playgrounds", which will build resilience by helping users to explore potentially risky interactions of life transitions with privacy settings across their digital footprint in safe ways (2) "Transition Guardians", which will provide real-time protection for users during life transitions. (3) "Security Bubbles", which will promote connection by bringing people together who can help each other (or who need to work together) during one person's life transition, whilst providing additional guarantees to safeguard everyone involved.In achieving this vision, and as evidenced by £686K of in-kind contributions, we will work with 26 core partners spanning legal enforcement agencies (e.g., Surrey Police), tech companies (e.g., Facebook, IBM), support networks (e.g., LGBT Foundation, Revenge Porn Helpline) and associated organisations (e.g., Ofcom, Mastercard, BBC). Impact will be delivered through various activities including a specially commissioned BBC series on online life transitions to share knowledge with the public; use of the outputs of our projects by companies & social platforms (e.g., by incorporating into their products, & by designing their products to take into consideration the findings of our project) & targeted workshops to enable knowledge exchange with partners & stakeholders.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/mc.2022.3193308
发表时间: 2022-12
期刊: Computer
影响因子: 2.2
作者: [Suparna De;Wei Wang;Usamah Jassat;K. Moessner]
通讯作者: Suparna De;Wei Wang;Usamah Jassat;K. Moessner
Toxicity in the Decentralized Web and the Potential for Model Sharing
去中心化网络的毒性和模型共享的潜力
DOI: 10.1145/3530901
发表时间: 2022
期刊: Proceedings of the ACM on Measurement and Analysis of Computing Systems
影响因子: --
作者: [Bin Zia H]
通讯作者: Bin Zia H
DOI: 10.1145/3543507.3583487
发表时间: 2023
期刊:
影响因子: --
作者: [Anaobi I]
通讯作者: Anaobi I
Semantics-based privacy by design for Internet of Things applications
针对物联网应用设计的基于语义的隐私
DOI: 10.1016/j.future.2022.08.013
发表时间: 2023
期刊: Future Generation Computer Systems
影响因子: --
作者: [Alkhariji L]
通讯作者: Alkhariji L
7
    CD-GAIN: Content Delivery Using Graph-based Analysis of Interest Networks
    • 批准号:
      EP/K024914/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $12.78万
    • 财政年份:
      2013
    • 负责人:
      Nishanth Sastry
    • 依托单位:
    海外基金