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CNS Core: Small: Rethinking Runtime Software Security Hardening in the Context of Hybrid Instruction Set Architecture

CNS Core: Small: Rethinking Runtime Software Security Hardening in the Context of Hybrid Instruction Set Architecture
CNS 核心:小型:重新思考混合指令集架构背景下的运行时软件安全强化
批准号:
2127491
负责人:
Binoy Ravindran
金额:
$50.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2024-09-30

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中文摘要
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英文摘要
Computing is increasingly heterogeneous (e.g., CPU/GPUs, CPU/FPGAs) to meet the ever-increasing performance demands of applications, necessitated in part by the end of Moore's law. The latest trend in this direction is CPUs with different instruction-set-architectures (or ISAs), especially in mobile computing and Internet-of-Things (IoT) settings. Applications for heterogeneous computers are often developed by dividing them across the ISA boundary: software for each ISA is separately developed due to the intrinsic architecture differences. As a result, application programmers often cannot fully leverage ISA-specific hardware security features. In addition, existing software security techniques are largely ISA-specific: threat models and exploit mitigations are usually developed for a target ISA. This project addresses this problem by developing a software infrastructure that allows applications to transparently utilize ISA-specific security features. The infrastructure includes a compiler and a run-time framework that hides ISA differences and exposes an ISA-agnostic abstraction through code generation for multiple ISAs, dynamic process state transformations for security hardening across ISAs, and cross-ISA unified shared memory. Several security techniques will be developed using this infrastructure to demonstrate effectiveness including adaptive attack surface reduction, code and data space randomization, and dynamic software patching. The project’s software infrastructure will allow programmers to develop more secure application software for emerging computers without additional programming effort, and thereby meet the pressing societal need for secure computing infrastructures. The project's software artifacts and experimental results will be publicly available under a permissive open-source license at the project website for at least five years after the project completion.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(1)
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会议论文
Rave: A Modular and Extensible Framework for Program State Re-Randomization
Rave:用于程序状态重新随机化的模块化且可扩展的框架
DOI: 10.1145/3560828.3564008
发表时间: 2022
期刊: Proceedings of the 9th ACM Workshop on Moving Target Defense
影响因子: --
作者: [Blackburn, Christopher, Wang, Xiaoguang, Ravindran, Binoy]
通讯作者: Ravindran, Binoy
SaTC: CORE: Small: Sound Automatic Exploit Generation
CSR: Small: Scalable Transactional Replication: Theory, Protocols, and Middleware Systems
CSR: Small: Fault-Tolerant Distributed Software Transactional Memory: Theory, Protocols, and Java Package
CSR: Small: Nested Distributed Software Transactional Memory: Protocols, Mechanisms, and Java Package
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