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Matthias Wilhelm 0002

dblp:75/5912-2 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-0697-1516ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Security and privacy · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Security and privacy of machine learning · 61% Hardware security and side channels · 39%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Security and privacy of machine learning › poisoning attack
backdoor injection
0.412019
HAL - The Missing Piece of the Puzzle for Hardware Reverse Engineering, Trojan Detection and Insertion · IEEE Trans. Dependable Secur. Comput. 2019
Hardware security and side channels
hardware trojan
0.412019
HAL - The Missing Piece of the Puzzle for Hardware Reverse Engineering, Trojan Detection and Insertion · IEEE Trans. Dependable Secur. Comput. 2019
Security and privacy of machine learning › poisoning attack defense
trojan detection
0.412019
HAL - The Missing Piece of the Puzzle for Hardware Reverse Engineering, Trojan Detection and Insertion · IEEE Trans. Dependable Secur. Comput. 2019
Hardware security and side channels
hardware reverse engineering
0.112019
HAL - The Missing Piece of the Puzzle for Hardware Reverse Engineering, Trojan Detection and Insertion · IEEE Trans. Dependable Secur. Comput. 2019
Electronic design automation
hardware verification and test
0.112019
HAL - The Missing Piece of the Puzzle for Hardware Reverse Engineering, Trojan Detection and Insertion · IEEE Trans. Dependable Secur. Comput. 2019
Electronic design automation › circuit analysis
netlist analysis
0.112019
HAL - The Missing Piece of the Puzzle for Hardware Reverse Engineering, Trojan Detection and Insertion · IEEE Trans. Dependable Secur. Comput. 2019

Methods — techniques the papers use, named apart from their topics

static analysis · 0.8reverse engineering algorithms · 0.8logic insertion · 0.8
YearPublicationVenuePosition
2019 Insights into the mind of a trojan designer: the challenge to integrate a trojan into the bitstream
abstract
The threat of inserting hardware Trojans during the design, production, or in-field poses a danger for integrated circuits in real-world applications. A particular critical case of hardware Trojans is the malicious manipulation of third-party FPGA configurations. In addition to attack vectors during the design process, FPGAs can be infiltrated in a non-invasive manner after shipment through alterations of the bitstream. First, we present an improved methodology for bitstream file format reversing. Second, we introduce a novel idea for Trojan insertion.
Maik Ender, Pawel Swierczynski, Sebastian Wallat, Matthias Wilhelm 0002, Paul Martin Knopp, Christof Paar
ASP-DAC4
2019 HAL - The Missing Piece of the Puzzle for Hardware Reverse Engineering, Trojan Detection and Insertion
abstract
Hardware manipulations pose a serious threat to numerous systems, ranging from a myriad of smart-X devices to military systems. In many attack scenarios an adversary merely has access to the low-level, potentially obfuscated gate-level netlist. In general, the attacker possesses minimal information and faces the costly and time-consuming task of reverse engineering the design to identify security-critical circuitry, followed by the insertion of a meaningful hardware Trojan. These challenges have been considered only in passing by the research community. The contribution of this work is threefold: First, we present HAL, a comprehensive reverse engineering and manipulation framework for gate-level netlists. HAL allows automating defensive design analysis (e.g., including arbitrary Trojan detection algorithms with minimal effort) as well as offensive reverse engineering and targeted logic insertion. Second, we present a novel static analysis Trojan detection technique ANGEL which considerably reduces the false-positive detection rate of the detection technique FANCI. Furthermore, we demonstrate that ANGEL is capable of automatically detecting Trojans obfuscated with DeTrust. Third, we demonstrate how a malicious party can semi-automatically inject hardware Trojans into third-party designs. We present reverse engineering algorithms to disarm and trick cryptographic self-tests, and subtly leak cryptographic keys without any a priori knowledge of the design's internal workings.
Marc Fyrbiak, Sebastian Wallat, Pawel Swierczynski, Max Hoffmann 0001, Sebastian Hoppach, Matthias Wilhelm 0002, Tobias Weidlich, Russell Tessier, Christof Paar
IEEE Trans. Dependable Secur. Comput.6