Academic Centre of Excellence in Cyber Security Research - King's College London

网络安全研究卓越学术中心 - 伦敦国王学院

基本信息

  • 批准号:
    EP/S018972/1
  • 负责人:
  • 金额:
    $ 8.15万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2018
  • 资助国家:
    英国
  • 起止时间:
    2018 至 无数据
  • 项目状态:
    已结题

项目摘要

King's College London (KCL) is a research-led university established in 1829 (4th oldest in England), and one of the top 25 universities in the world (2017-18 QS international world rankings). The current King's Strategic Vision 2029, which looks forward to KCL's 200th anniversary in 2029, leverages the breadth of expertise across KCL to promote multi- and inter-disciplinary research to enable transformative advances and produce new insights that can be applied rapidly to deliver impact across the world, with 4 overlapping themes, including social justice, which encompasses issues like justice, prevention, and cyber security. In particular, KCL's cyber security vision for the next 5 years is to conduct high-quality, impactful, and inter-disciplinary research, particularly leveraging current cyber security capability but also nurturing and growing it, with the vision to becoming the ACE-CSR of note for 3 main research themes and their interrelationship:* AI Cyber Security. This comprises both the use of AI for cyber security (including data-driven techniques such as Machine Learning, but also knowledge-based techniques such as Argumentation, Normative Systems, Trust), and the cyber security of AI itself (including security, trust, privacy and transparency guarantees).* Formal Cyber Security. This includes the theoretical aspects of cyber security such as theoretical computer science approaches for verification and testing to provide assurance, correctness and technology-readiness of security protocols, mobile and web applications, cyber-physical systems and the Internet of Things.* Strategic Cyber Security. This includes the socio-political and strategic aspects of cyber security such as cyber risks, cyber threats, cyber intelligence, cyber policy and cyber defence, and their relationship to risk assessment, management and governance.These 3 themes reflect the key current cyber security strengths at KCL and the inter-disciplinary link to other key KCL strengths, notably AI, theoretical computer science, and conflict and security studies. Strategically, the themes are intertwined and complementary, and they are crucial to understanding and tackling the complex nature of evolving cyber security challenges. For instance, AI-powered cyber intelligence is becoming increasingly important for the strategy and defence of nation-states, and it lies at the intersection of AI Cyber Security and Strategic Cyber Security; likewise, the security guarantees that are needed for AI and Autonomous Systems, which formal verification can bring, lie at the intersection of AI Cyber Security and Formal Cyber Security.
伦敦国王学院(KCL)是一所研究型大学,成立于1829年(英格兰第四古老),是世界排名前25位的大学之一(2017-18 QS国际世界排名)。目前的国王战略愿景2029年,期待着KCL的200周年在2029年,利用KCL的专业知识的广度,以促进多学科和跨学科的研究,使变革性的进步,并产生新的见解,可以迅速应用于在世界各地产生影响,有4个重叠的主题,包括社会正义,其中包括正义,预防,和网络安全特别是,KCL未来5年的网络安全愿景是进行高质量,有影响力的跨学科研究,特别是利用当前的网络安全能力,同时培养和发展它,并希望成为三个主要研究主题及其相互关系的ACE-CSR:* AI网络安全。这包括使用人工智能进行网络安全(包括数据驱动技术,如机器学习,以及基于知识的技术,如论证,规范系统,信任),以及人工智能本身的网络安全(包括安全,信任,隐私和透明度保证)。正式的网络安全。这包括网络安全的理论方面,例如用于验证和测试的理论计算机科学方法,以提供安全协议的保证,正确性和技术准备,移动的和Web应用程序,网络物理系统和物联网。战略网络安全。这包括网络安全的社会政治和战略方面,如网络风险,网络威胁,网络情报,网络政策和网络防御,以及它们与风险评估,管理和治理的关系。这三个主题反映了KCL当前的主要网络安全优势以及与KCL其他主要优势的跨学科联系,特别是人工智能,理论计算机科学,冲突和安全研究。从战略上讲,这些主题相互交织,相辅相成,对于理解和应对不断变化的网络安全挑战的复杂性至关重要。例如,人工智能驱动的网络情报对于民族国家的战略和防御变得越来越重要,它位于人工智能网络安全和战略网络安全的交叉点;同样,人工智能和自治系统所需的安全保证,正式验证可以带来,位于人工智能网络安全和正式网络安全的交叉点。

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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Jose Such其他文献

Beyond Individual Concerns: Multi-user Privacy in Large Language Models
超越个人关注:大型语言模型中的多用户隐私
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Xiao Zhan;William Seymour;Jose Such
  • 通讯作者:
    Jose Such
Investigating the Legality of Bias Mitigation Methods in the United Kingdom
调查英国减少偏见方法的合法性
  • DOI:
    10.1109/mts.2023.3341465
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Mackenzie Jorgensen;Madeleine Waller;O. Cocarascu;Natalia Criado;Odinaldo Rodrigues;Jose Such;Elizabeth Black
  • 通讯作者:
    Elizabeth Black
Preferences for AI Explanations Based on Cognitive Style and Socio-Cultural Factors
基于认知风格和社会文化因素的人工智能解释偏好
Differences in the Toxic Language of Cross-Platform Communities
跨平台社区有毒语言的差异
Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents
构建更好的人工智能代理:对基于 LLM 的对话代理中角色使用的挑战

Jose Such的其他文献

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{{ truncateString('Jose Such', 18)}}的其他基金

SAIS: Secure AI assistantS
SAIS:安全人工智能助手
  • 批准号:
    EP/T026723/1
  • 财政年份:
    2020
  • 资助金额:
    $ 8.15万
  • 项目类别:
    Research Grant
DADD: Discovering and Attesting Digital Discrimination
DADD:发现并证明数字歧视
  • 批准号:
    EP/R033188/1
  • 财政年份:
    2018
  • 资助金额:
    $ 8.15万
  • 项目类别:
    Research Grant
RePriCo: Resolving Multi-party Privacy Conflicts in Social Media
RePriCo:解决社交媒体中的多方隐私冲突
  • 批准号:
    EP/M027805/2
  • 财政年份:
    2017
  • 资助金额:
    $ 8.15万
  • 项目类别:
    Research Grant
RePriCo: Resolving Multi-party Privacy Conflicts in Social Media
RePriCo:解决社交媒体中的多方隐私冲突
  • 批准号:
    EP/M027805/1
  • 财政年份:
    2015
  • 资助金额:
    $ 8.15万
  • 项目类别:
    Research Grant

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