Lune

S&P2021顶会

Bomberman: Defining and Defeating Hardware Ticking Timebombs at Design-time

Timothy Trippel, Kang G. Shin, Kevin B. Bush, Matthew Hicks

2021年份
14被引次数
4顶会引用

摘要

To cope with ever-increasing design complexities, integrated circuit designers increase both the size of their design teams and their reliance on third-party intellectual property (IP). Both come at the expense of trust: it is computationally infeasible to exhaustively verify that a design is free of all possible malicious modifications (i.e., hardware Trojans). Making matters worse, unlike software, hardware modifications are permanent: there is no "patching" mechanism for hardware; and powerful: they serve as a foothold for subverting software that sits above. To counter this threat, prior work uses both static and dynamic analysis techniques to verify hardware designs are Trojan-free. Unfortunately, researchers continue to reveal weaknesses in these "one-size-fits-all", heuristic-based approaches. Instead of attempting to detect all possible hardware Trojans, we take the first step in addressing the hardware Trojan threat in a divide-and-conquer fashion: defining and eliminating Ticking Timebomb Trojans (TTTs), forcing attackers to implement larger Trojan designs detectable via existing verification and sidechannel defenses. Like many system-level software defenses (e.g., Address Space Layout Randomization (ASLR) and Data Execution Prevention (DEP)), our goal is to systematically constrict the hardware attacker's design space. First, we construct a definition of TTTs derived from their functional behavior. Next, we translate this definition into fundamental components required to realize TTT behavior in hardware. Using these components, we expand the set of all known TTTs to a total of six variants-including unseen variants. Leveraging our definition, we design and implement a TTTspecific dynamic verification toolchain extension, called Bomberman. Using four real-world hardware designs, we demonstrate Bomberman's ability to detect all TTT variants, where previous defenses fail, with <1.2% false positives.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper4

问问它们各自怎么用它

它引用的顶会 Paper5

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖