CNS Core: Small: eXecution Graph Path Security (XGPS)
CNS Core: Small: eXecution Graph Path Security (XGPS)
批准号:
2008867
负责人:
Nathan Dautenhahn
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-01 至 2023-09-30
中文摘要
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英文摘要
eXecution Graph Path Security (XGPS) is a new computer processor that restricts common low-level behaviors so that attackers cannot use them to take control of a system. By replacing general purpose control operations with new limited operations, XGPS will prevent common attacker steps while preserving expected functionality. This is important because almost all computing systems are susceptible to compromises. Existing approaches emphasize general protection hardware but leave gaps in defenses and cannot easily trace the program as it executes.The core challenge and idea is to describe, track, and ensure good behavior in the hardware itself.XGPS observes that almost all security policies are more precise when including a description of the program path. XGPS will develop a novel hardware mechanism for representing, tracing, and securing all program paths, including for the operating system. The first thrust will develop a general purpose data structure capable of representing the program path while remaining finite in size. The second thrust will implement the path in hardware while protecting it from supervisor level compromise. The third thrust will develop new efficient path based hardware/software security policies, demonstrating the efficacy of the path to enforce meaningful properties.The end result of this research will be the enhanced understanding and development of a system with rigorous control of program behavior. By controlling this behavior, XGPS will deny large classes of threats and, if adopted, will lead to a significantly stronger trusted computing base. Moreover, XGPS will enable existing hardware to tackle problems better suited to their capabilities. A core element of this research program will be engaging graduate and undergraduate students through courses, mentorship, and hands-on research activities. This project will actively pursue underrepresented minority students for research and security technology education.The outcome of this work will be high level models of core components, hardware based design and implementation, written reports, and experimental data. All artifacts will be kept at https://fiercelab.cs.rice.edu/projects/xgps/ and maintained for three years following the conclusion of the project.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
Lossless instruction-to-object memory tracing in the Linux kernel
Linux 内核中的无损指令到对象内存跟踪
DOI:
10.1145/3456727.3463767
发表时间:
2021
期刊:
The ACM International Systems and Storage Conference (SYSTOR
影响因子:
--
作者:
[Roessler, Nick, Chien, Yi, Atayde, Lucas, Yang, Peiru, Palmer, Imani, Gray, Lily, Dautenhahn, Nathan]
通讯作者:
Dautenhahn, Nathan
CAREER: Automatically Taming System Complexity with the Least-Authority Virtual Architecture
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批准号:2146537
-
项目类别:Continuing Grant
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资助金额:$63.0万
-
财政年份:2022
-
负责人:Nathan Dautenhahn
-
依托单位:
国内基金
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