CAREER: Towards the Security of Heterogeneous CPU-FPGA Systems
CAREER: Towards the Security of Heterogeneous CPU-FPGA Systems
批准号:
1912593
负责人:
Sheng Wei
金额:
$43.66万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-11 至 2024-03-31
中文摘要
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英文摘要
With the rapidly growing demand of high performance computations, the traditional central processing unit (CPU)-based computing systems have been deployed with field programmable gate array (FPGA) components for hardware acceleration, such as in the emerging CPU-FPGA cloud systems. Despite the significant performance benefits, the CPU-FPGA architecture introduces new attack surfaces through the communications between the two heterogeneous components. This project develops a hardware isolation-based security framework to eliminate the new attack surfaces, a programming toolkit to facilitate the development of secure CPU-FPGA systems, as well as a set of CPU-FPGA benchmark applications for evaluation purposes. The project involves three research activities. First, it develops a hardware security framework that achieves FPGA-compatible containers enabled by bus-level hardware isolation, together with efficient security verification policies leveraging approximate computing and side channel analysis. Second, it delivers a programming toolkit that automatically partitions the CPU and FPGA jobs into the hardware isolation environment using dynamic program slicing, as well as a performance and resource optimization scheme employing dynamic scheduling. Third, it generates a representative set of CPU-FPGA benchmarks spanning secure multimedia systems, financial security, and privacy-preserving scientific computing to evaluate the security and performance of the CPU-FPGA systems. The project will generate broader impacts from several aspects. First, it will enable comprehensive education activities such as new curriculum design and summer internship programs attracting undergraduate students to cybersecurity research. Second, it will benefit many fields of studies with strong security guarantees and short learning curves given the growing popularity of CPU-FPGA cloud. Third, the CPU-FPGA benchmarks have the potential of enabling industrial outreach and generating real world impacts. Furthermore, the project will transform the fields of hardware security, software engineering, and scientific computing to the new frontier of jointly supporting heterogeneous architectures, motivating interdisciplinary cybersecurity research. The project repository will be stored on a publicly accessible server at the University of Nebraska-Lincoln (http://cse.unl.edu/~swei/projects/hisa). All the project data will be maintained for at least 5 years following the end of the grant period.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.
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DOI:
10.1145/3503161.3548386
发表时间:
2022-07
期刊:
Proceedings of the 30th ACM International Conference on Multimedia
影响因子:
--
作者:
[Yiqin Zhao;Sheng Wei;Tian Guo]
通讯作者:
Yiqin Zhao;Sheng Wei;Tian Guo
EvoIsolator: Evolving Program Slices for Hardware Isolation Based Security
EvoIsolator:不断发展的程序切片以实现基于硬件隔离的安全性
DOI:
10.1007/978-3-319-99241-9_24
发表时间:
2018
期刊:
International Symposium on Search Based Software Engineering SSBSE 2018
影响因子:
--
作者:
[Mengmei Ye, Myra B.]
通讯作者:
Mengmei Ye, Myra B.
VVSec: Securing Volumetric Video Streaming via Benign Use of Adversarial Perturbation
VVSec:通过善意地使用对抗性扰动来保护体积视频流
DOI:
10.1145/3394171.3413639
发表时间:
2020
期刊:
ACM International Conference on Multimedia
影响因子:
--
作者:
[Tang, Zhongze, Feng, Xianglong, Xie, Yi, Phan, Huy, Guo, Tian, Yuan, Bo, Wei, Sheng]
通讯作者:
Wei, Sheng
Runtime Hardware Security Verification Using Approximate Computing: A Case Study on Video Motion Detection
使用近似计算的运行时硬件安全验证:视频运动检测案例研究
DOI:
10.1109/asianhost47458.2019.9006675
发表时间:
2019
期刊:
2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST
影响因子:
--
作者:
[Ye, Mengmei, Feng, Xianglong, Wei, Sheng]
通讯作者:
Wei, Sheng
DOI:
10.1145/3339825.3391863
发表时间:
2020-05
期刊:
Proceedings of the 11th ACM Multimedia Systems Conference
影响因子:
--
作者:
[Nan Jiang;Yao Liu;Tian Guo;Wenyao Xu;Viswanathan Swaminathan;Lisong Xu;Sheng Wei]
通讯作者:
Nan Jiang;Yao Liu;Tian Guo;Wenyao Xu;Viswanathan Swaminathan;Lisong Xu;Sheng Wei
共 10 条
CNS Core: Small: Collaborative: Content-Based Viewport Prediction Framework for Live Virtual Reality Streaming
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批准号:1910085
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项目类别:Standard Grant
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资助金额:$21.49万
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财政年份:2019
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负责人:Sheng Wei
-
依托单位:
CAREER: Towards the Security of Heterogeneous CPU-FPGA Systems
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批准号:1750867
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项目类别:Continuing Grant
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资助金额:$49.69万
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财政年份:2018
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负责人:Sheng Wei
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依托单位:
海外基金