DISSECT: Dynamic Skew-and-Split Tree for Memory Authentication

Autor: Rohan Juneja, Siew-Kei Lam, Saru Vig
Rok vydání: 2020
Předmět:
Zdroj: DATE
DOI: 10.23919/date48585.2020.9116548
Popis: Memory integrity trees are widely-used to protect external memories in embedded systems against replay, splicing and spoofing attacks. However, existing methods often result in high-performance overhead that is proportional to the height of the tree. Reducing the height of the integrity tree by increasing its arity, however, leads to frequent overflowing of the counters that are used for encryption in the tree. We will show that increasing the tree arity of a widely-use integrity tree from 2 to 8 can result in over 200% increase in memory authentication overhead for some benchmark applications, despite the reduction in tree height. In this paper, we propose DISSECT, a memory authentication framework which utilizes a dynamic memory integrity tree that can adapt to the memory access patterns of the application by progressively adjusting the tree height and arity in order to significantly reduce performance overhead. This is achieved by 1) initializing an integrity tree structure with the largest arity possible to meet the security requirements, 2) dynamically skewing the tree such that the more frequently accessed memory locations are positioned closer to the tree root (overcomes the tree height problem), and 3) dynamically splitting the tree at nodes with counters that are about to overflow (overcomes the counter overflow problem). Experimental results undertaken using Multi2Sim on benchmarks from SPEC-CPU2006, SPLASH-2, and PARSEC demonstrate the performance benefits of our proposed memory integrity tree.
Databáze: OpenAIRE