Chungha Sung

TL;DR: In this article, a type-based technique for detecting side-channel leaks is proposed, which leverages Datalog-based declarative analysis and domain-specific optimizations.

TL;DR: Canal as mentioned in this paper is a framework that models the cache behaviors of a program by transforming its intermediate representation in the LLVM compiler, and inserts auxiliary variables and instructions over these variables, to allow standard verification tools to handle a new class of cache related properties, e.g., for computing the worst-case execution time and detecting side channel leaks.

TL;DR: A type-based technique for detecting leaks, which leverages Datalog-based declarative analysis and domain-specific optimizations to achieve high efficiency and accuracy and a mitigation technique for the compiler's backend, more specifically the register allocation modules, to ensure that leaky intermediate computation results are stored in different CPU registers or memory locations.

TL;DR: In this article, an abstract interpretation framework for static verification of interrupt-driven software is proposed, which analyzes each interrupt handler in isolation as if it were a sequential program, and then propagates the result to other interrupt handlers.