Code randomization is a security technique that alters the internal structure of software code to make attacks more difficult. This method involves changing memory addresses or instruction sequences without affecting program functionality, often applied to executable files or runtime environments. It acts as a defensive measure against memory-based exploits, such as buffer overflows or return-oriented programming, by making attack predictability low. The technique increases the effort required for attackers to reliably target specific code locations.
Context
The deployment of code randomization is a significant topic in cybersecurity, particularly for protecting critical infrastructure and digital asset platforms from sophisticated exploits. Debates often involve the performance overhead introduced by randomization versus the security benefits gained. Future research focuses on developing more efficient and comprehensive randomization techniques that can be applied dynamically.
This research rectifies critical soundness flaws in post-quantum zero-knowledge arguments, introducing Scorpius for robust, efficient verifiable computation.
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