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Computational tools for analyzing and detecting software supply chain attacks

Computational tools for analyzing and detecting software supply chain attacks
用于分析和检测软件供应链攻击的计算工具
批准号：
474601-2014
负责人：
Lie, David
金额：
$5.1万
依托单位：
University of Toronto
依托单位国家：
加拿大
项目类别：
Collaborative Research and Development Grants
财政年份：
2016
资助国家：
加拿大
项目状态：
已结题
起止时间：
2016-01-01 至 2017-12-31
来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=598906
关键词：
Computationaltoolsanalyzingdetectingsoftware

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中文摘要
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英文摘要
Software supply chain attacks -- attacks where malware is covertly inserted into reputable and otherwise benign software somewhere in the chain between development and final use by the customer have become a growing concern. With the potential to affect enterprises, public organizations and individual users, supply chain attacks are a threat to users of every kind. Traditional defenses, such as anti-virus scanners are largely ineffective as the malware deposited by these attacks are often custom crafted and can be stealthily embedded in code that is normally highly trusted by the end user.
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A Machine Learning Approach to Detecting Security Vulnerabilities in Software.
  • 批准号：
    RGPIN-2018-05931
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $2.04万
  • 财政年份：
    2022
  • 负责人：
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    University of Toronto
Secure and Reliable Systems
  • 批准号：
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  • 项目类别：
    Canada Research Chairs
  • 资助金额：
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  • 财政年份：
    2022
  • 负责人：
    Lie, David
  • 依托单位：
    University of Toronto
A Machine Learning Approach to Detecting Security Vulnerabilities in Software.
  • 批准号：
    RGPIN-2018-05931
  • 项目类别：
    Discovery Grants Program - Individual
  • 资助金额：
    $2.04万
  • 财政年份：
    2021
  • 负责人：
    Lie, David
  • 依托单位：
    University of Toronto
Tools and methods for detecting vulnerabilities in embedded devices
  • 批准号：
    535902-2018
  • 项目类别：
    Collaborative Research and Development Grants
  • 资助金额：
    $5.19万
  • 财政年份：
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  • 负责人：
    Lie, David
  • 依托单位：
    University of Toronto
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