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TC: EAGER: Binary-based Data Structure Revelation for Memory Forensics

TC: EAGER: Binary-based Data Structure Revelation for Memory Forensics
TC:EAGER:用于内存取证的基于二进制的数据结构揭示
批准号:
1049303
负责人:
Dongyan Xu
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2013-08-31
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中文摘要
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英文摘要
Today's computer users often run programs for which they do not have the source code. In some cases, those programs are viruses or other malware, and it is desirable to understand how they work in order to prevent them from causing further damage or to track down the author. Part of the process of understanding the program (sometimes called "reverse engineering")is to understand how it stores data. This research develops a new technique for revealing the data structures in programs for which only the binary code is available called REWARDS -- Reverse Engeineering Work for Automatic Revelation of Data Structures. The tools developed by the research are evaluated against both benign and malicious programs.
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会议论文
SaTC: CORE: Medium: Collaborative: Threat-Aware Defense: Evaluating Threats for Continuous Improvement
  • 批准号:
    1801601
  • 项目类别:
    Standard Grant
  • 资助金额:
    $39.98万
  • 财政年份:
    2018
  • 负责人:
    Dongyan Xu
  • 依托单位:
TWC: Medium: Collaborative: Towards a Binary-Centric Framework for Cyber Forensics in Enterprise Environments
  • 批准号:
    1409668
  • 项目类别:
    Standard Grant
  • 资助金额:
    $80.0万
  • 财政年份:
    2014
  • 负责人:
    Dongyan Xu
  • 依托单位:
NeTS: Small: Towards Exposing and Mitigating End-to-End TCP Performance and Fairness Issues in Data Center Networks
  • 批准号:
    1219004
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2012
  • 负责人:
    Dongyan Xu
  • 依托单位:
Collaborative Research: II-New: OpenVMI: A Software Instrument for Virtual Machine Introspection
  • 批准号:
    0855141
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.5万
  • 财政年份:
    2009
  • 负责人:
    Dongyan Xu
  • 依托单位:
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