Chen, Kejun, Arias, Orlando, Deng, Qingxu, Oliveira, Daniela, Guo, Xiaolong, and Jin, Yier. FineDIFT: Fine-Grained Dynamic Information Flow Tracking for Data-Flow Integrity Using Coprocessor. Retrieved from https://par.nsf.gov/biblio/10326846. IEEE Transactions on Information Forensics and Security 17. Web. doi:10.1109/TIFS.2022.3144868.
Chen, Kejun, Arias, Orlando, Deng, Qingxu, Oliveira, Daniela, Guo, Xiaolong, and Jin, Yier.
"FineDIFT: Fine-Grained Dynamic Information Flow Tracking for Data-Flow Integrity Using Coprocessor". IEEE Transactions on Information Forensics and Security 17 (). Country unknown/Code not available. https://doi.org/10.1109/TIFS.2022.3144868.https://par.nsf.gov/biblio/10326846.
@article{osti_10326846,
place = {Country unknown/Code not available},
title = {FineDIFT: Fine-Grained Dynamic Information Flow Tracking for Data-Flow Integrity Using Coprocessor},
url = {https://par.nsf.gov/biblio/10326846},
DOI = {10.1109/TIFS.2022.3144868},
abstractNote = {},
journal = {IEEE Transactions on Information Forensics and Security},
volume = {17},
author = {Chen, Kejun and Arias, Orlando and Deng, Qingxu and Oliveira, Daniela and Guo, Xiaolong and Jin, Yier},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.