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

Zhilong Wang, Peng Liu

Research output: Contribution to journalArticlepeer-review

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 the GPT conjecture 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.

Original languageEnglish (US)
Article number33
JournalCybersecurity
Volume4
Issue number1
DOIs
StatePublished - Dec 2021

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Computer Networks and Communications
  • Artificial Intelligence

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