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PFI:AIR - TT: Passive Techniques for Monitoring Industrial Control Systems

PFI:AIR - TT: Passive Techniques for Monitoring Industrial Control Systems
PFI:AIR - TT:监控工业控制系统的无源技术
批准号:
1700879
负责人:
Raheem Beyah
金额:
$20.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-15 至 2019-12-31

项目摘要

项目成果

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中文摘要
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英文摘要
This PFI: AIR Technology Translation project focuses on translating industrial control system (ICS) security techniques to fill the need for methods to secure the Nation's most critical infrastructure (e.g., the electric power grid, critical manufacturing plants, water treatment plants, etc.). The industrial control system security techniques are important because the compromise of these ICS networks can lead to loss of life, widespread blackouts, environmental disasters, and financial loss. The project will result in a prototype of an ICS security and monitoring system. This ICS security and monitoring system has the following unique features: 1) the ability to detect malicious network traffic, the ability to detect malicious programs running on embedded controllers, and 3) the ability to backup programs transmitted over the network. These features provide the following advantages: 1) defense against Nation State level attackers, 2) minimally-invasive techniques to detect malware on embedded controllers, and 3) passive program backups when compared to the leading competing approaches such as standard intrusion detection systems and hardware add-ons in this market space. This project addresses the following technology gaps as it translates from research discovery toward commercial application: intrusion detection, access control, network management, and malware detection for industrial control systems. Specifically, this project presents new ICS specific fingerprinting techniques that can be used to supplement traditional techniques for intrusion detection, access control, or network management. Further, a robust technique for detecting code modification of programmable logic controllers (which was done by Stuxnet), using standard programmable logic controller (PLC) diagnostic information will be developed. Also, a passive method that intercepts and archives binary PLC programs transmitted from the engineering workstation will be developed. In addition, personnel involved in this project, graduate students, will receive innovation, entrepreneurship, and technology translation experiences through requirements and specifications discussions, prototype development, unit/system/integration testing, prototype deployment, and go-to-market strategy development.
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会议论文
SaTC: CORE: Medium: ADIDS: An Air-gapped Distributed Intrusion Detection System for the Power Grid
  • 批准号:
    1929580
  • 项目类别:
    Standard Grant
  • 资助金额:
    $120.0万
  • 财政年份:
    2019
  • 负责人:
    Raheem Beyah
  • 依托单位:
CPS: Medium: Collaborative Research: Srch3D: Efficient 3D Model Search via Online Manufacturing-specific Object Recognition and Automated Deep Learning-Based Design Classification
  • 批准号:
    1931977
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2019
  • 负责人:
    Raheem Beyah
  • 依托单位:
NeTS: Small: Collaborative Research: Measurement and Modeling of Industrial Control Networks
  • 批准号:
    1718017
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2017
  • 负责人:
    Raheem Beyah
  • 依托单位:
CPS: Medium: Collaborative Research: Trustworthy Cyber-Physical Additive Manufacturing with Untrusted Controllers
  • 批准号:
    1739259
  • 项目类别:
    Standard Grant
  • 资助金额:
    $31.35万
  • 财政年份:
    2017
  • 负责人:
    Raheem Beyah
  • 依托单位:
国内基金
海外基金
湍流和化学交互作用对H2-Air-H2O微混燃烧中NO生成的影响研究
  • 批准号:
    51976048
  • 项目类别:
    面上项目
  • 资助金额:
    61.0万元
  • 批准年份:
    2019
  • 负责人:
    邱朋华
  • 依托单位: