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Position paper: GPT conjecture: understanding the trade-offs between granularity, performance and timeliness in control-flow integrity

Authors :
Zhilong Wang
Peng Liu
Source :
Cybersecurity, Vol 4, Iss 1, Pp 1-9 (2021)
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

Performance/security trade-off is widely noticed in CFI research, however, we observe that not every CFI scheme is subject to the trade-off. Motivated by the key observation, we ask three questions: ➊ does trade-off really exist in different CFI schemes? ➋ if trade-off do exist, how do previous works comply with it? ➌ how can it inspire future research? Although the three questions probably cannot be directly answered, they are inspiring. We find that a deeper understanding of the nature of the trade-off will help answer the three questions. Accordingly, we proposed theGPTconjecture to pinpoint the trade-off in designing CFI schemes, which says that at most two out of three properties (fine granularity, acceptable performance, and preventive protection) could be achieved.

Details

ISSN :
25233246
Volume :
4
Database :
OpenAIRE
Journal :
Cybersecurity
Accession number :
edsair.doi.dedup.....1f36f6ade4a8c5bf10fb6ec5f7d27322