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Position paper: GPT conjecture: understanding the trade-offs between granularity, performance and timeliness in control-flow integrity
- 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.
- Subjects :
- Scheme (programming language)
Computer engineering. Computer hardware
Conjecture
Computer Networks and Communications
Computer science
Trade-off
Subject (documents)
QA75.5-76.95
Computer security
computer.software_genre
TK7885-7895
Artificial Intelligence
Ask price
Electronic computers. Computer science
Key (cryptography)
Position paper
Granularity
Control-flow integrity
computer
Software
Information Systems
computer.programming_language
Subjects
Details
- ISSN :
- 25233246
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- Cybersecurity
- Accession number :
- edsair.doi.dedup.....1f36f6ade4a8c5bf10fb6ec5f7d27322