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Identifying and Modelling Victim, Business, Regulatory and Malware Behaviours in a Changing Cyberthreat Landscape

Identifying and Modelling Victim, Business, Regulatory and Malware Behaviours in a Changing Cyberthreat Landscape
在不断变化的网络威胁环境中识别和建模受害者、业务、监管和恶意软件行为
批准号:
EP/K03345X/1
负责人:
Omer Rana
金额:
$131.17万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
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英文摘要
HM Cabinet Office and Detica reported in 2011 that the annual cost to the UK economy from cybercrime was £27 billion. Regardless of the accuracy of this estimate the British Crime Survey and Eurostat ICT survey evidence that cybercrime is now the typical volume property crime in the UK, impacting more of the public than traditional acquisitive crimes such as burglary and car theft. Because of its global nature similar estimates of the prevalence and losses of cybercrime are found in most other countries. However, whilst most politicians, police, and business leaders agree that cybercrimes are one of the greatest crime challenges of modern times, few seem to fully understand what causes them and how to best predict their occurrence and limit their impact upon the UK economy and society.This project aims to address these uncertainties using methods and concepts from a range of disciplines including criminology, psychology, economics, mathematics and computer science. The key objectives of the project are to identify, understand and predict:1. The behaviour of malware and human cyber perpetrators within and outside of Cloud environments; 2. Business risk assessment practices, threat awareness levels, and adaptive behaviours as related to cybercrime;3. The response of criminal justice agencies to cybercrime and business trust in the regulatory system;4. Business and criminal justice cyber security practices (e.g. information sharing) in relation to issues of privacy, accountability and civil liberties.The project will develop a computational tool that will assist in the prediction of business related cyber attacks. For the first time both technical (e.g. malware behaviour, network vulnerabilities etc.) and human/organisational (level of cooperation, perception of risk, threat assessment, costs, criminal justice response etc.) measures will be combined in this predictive process. It is envisaged that this tool will assist both policy makers and practitioners in the field of cyber security and crime. It will identify which businesses (by sector, size, level of cooperation etc.) are most vulnerable to attack allowing policy, codes of practice and advice to be tailored and targeted. The tool also has the potential to provide digital and human/organisational forms of evidence and other information relevant to investigation and prosecution proceedings. In order to disseminate the tool and results from the research we will incorporate an action research element where we will develop a forum (two workshops in years 2&3) where initial or draft (but verified) findings are released in stages, through briefing papers to businesses of varying sectors and sizes (particularly SMEs). We will also disseminate results via peer-reviewed journal articles and conferences. Throughout the project via the advisory group we will link into other key commercial initiatives (e.g. Saturn project at BT Labs) and statutory and third sector organisations such as ENISA, the Honeynet Project, Home Office; Cabinet Office Identity Assurance Programme; Office for National Statistics; National Fraud Authority; Serious Fraud Office; Trading Standards; Serious Organised Crime Agency/National Crime Agency; Association of Chief Police Officers; Met Police Central eCrime Unit; NPIA/Police College; EADS; Get Safe Online, Liberty and Wise Kids.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.cose.2015.11.003
发表时间: 2016-03
期刊: Comput. Secur.
影响因子: --
作者: [M. S. Awan;P. Burnap;O. Rana]
通讯作者: M. S. Awan;P. Burnap;O. Rana
DOI: --
发表时间: 2015-03
期刊:
影响因子: --
作者: [Gaseb Alotibi;Fudong Li;N. Clarke;S. Furnell]
通讯作者: Gaseb Alotibi;Fudong Li;N. Clarke;S. Furnell
DOI: 10.1007/s10586-015-0510-4
发表时间: 2016-03-01
期刊: CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
影响因子: 4.4
作者: [Al Abdulwahid, Abdulwahid, Clarke, Nathan, Reich, Christoph]
通讯作者: Reich, Christoph
User profiling from network traffic via novel application-level interactions
通过新颖的应用程序级交互从网络流量中进行用户分析
DOI: 10.1109/icitst.2016.7856712
发表时间: 2016
期刊:
影响因子: --
作者: [Alotibi G]
通讯作者: Alotibi G
9
    PACE: Privacy-aware Cloud Ecosystems
    • 批准号:
      EP/R033439/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $77.24万
    • 财政年份:
      2018
    • 负责人:
      Omer Rana
    • 依托单位:
    国内基金
    海外基金
    Improving modelling of compact binary evolution.
    • 批准号:
      10903001
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      20.0万元
    • 批准年份:
      2009
    • 负责人:
      史蒂芬
    • 依托单位: