利用扫描数据对一热有限状态机进行非侵入式逆向工程研究

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Emerging Topics in Computing Pub Date : 2023-10-11 DOI:10.1109/TETC.2023.3322299
Zhaoxuan Dong;Aijiao Cui;Hao Lu
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引用次数: 0

摘要

有限状态机(FSM)始终是芯片或系统的核心控制单元。作为一种高级设计,FSM 也被用来构建多种安全设计,因为从网表或物理设计中很难分辨出 FSM 结构。然而,一旦 FSM 结构被逆转,这些安全设计就无法继续。逆向工程 FSM 不仅表明设计的控制方案被访问,而且对基于 FSM 的安全设计构成严重威胁。鉴于单次编码 FSM 广泛应用于各种电路设计中,本文提出了一种非侵入式的单次编码 FSM 逆向工程方法。首先收集芯片运行时从扫描链转储的数据。然后,利用扫描数据识别出所有满足一热状态寄存器两个必要条件的候选状态寄存器集。进一步评估候选寄存器和数据寄存器之间的关联关系,以确定唯一的目标状态寄存器集。最后,根据这些已确定状态寄存器的扫描转储数据,检索 FSM 状态之间的转换。在不同规模的基准电路上的实验结果表明,所提出的方法能准确识别所有单次热状态寄存器,并能以较高的精度检索出转换,而现有方法则无法达到令人满意的单次热编码 FSM 正确检测率。
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Non-Invasive Reverse Engineering of One-Hot Finite State Machines Using Scan Dump Data
Finite-state machine (FSM) always works as a core control unit of a chip or a system. As a high level design, FSM has also been exploited to build multiple secure designs as it is deemed hard to discern FSM structure from the netlist or physical design. However, these secure designs can never sustain once the FSM structure is reversed. Reverse engineering FSM not only indicates the access of the control scheme of a design, but also poses a severe threat to those FSM-based secure designs. As the one-hot encoding FSM is widely adopted in various circuit designs, this paper proposes a non-invasive method to reverse engineer the one-hot encoding FSM. The data dumped from the scan chain during chip operation is first collected. The scan data is then used to identify all the candidate sets of state registers which satisfy two necessary conditions for one-hot state registers. Association relationship between the candidate registers and data registers are further evaluated to identify the unique target set of state registers. The transitions among FSM states are finally retrieved based on the scan dump data from those identified state registers. The experimental results on the benchmark circuits of different size show that this proposed method can identify all one-hot state registers exactly and the transitions can be retrieved at a high accuracy while the existing methods cannot achieve a satisfactory correct detection rate for one-hot encoding FSM.
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来源期刊
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Emerging Topics in Computing Computer Science-Computer Science (miscellaneous)
CiteScore
12.10
自引率
5.10%
发文量
113
期刊介绍: IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.
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Table of Contents Front Cover IEEE Transactions on Emerging Topics in Computing Information for Authors Special Section on Emerging Social Computing DALTON - Deep Local Learning in SNNs via local Weights and Surrogate-Derivative Transfer
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