Obfuscating the Hierarchy of a Digital IP
May 19, 2022 Β· Declared Dead Β· π International Conference / Workshop on Embedded Computer Systems: Architectures, Modeling and Simulation
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Giorgi Basiashvili, Zain Ul Abideen, Samuel Pagliarini
arXiv ID
2205.09892
Category
cs.CR: Cryptography & Security
Cross-listed
cs.AR
Citations
3
Venue
International Conference / Workshop on Embedded Computer Systems: Architectures, Modeling and Simulation
Last Checked
4 months ago
Abstract
Numerous security threats are emerging from untrusted players in the integrated circuit (IC) ecosystem. Among them, reverse engineering practices with the intent to counterfeit, overproduce, or modify an IC are worrying. In recent years, various techniques have been proposed to mitigate the aforementioned threats but no technique seems to be adequate to hide the hierarchy of a design. Such ability to obfuscate the hierarchy is particularly important for designs that contain repeated modules. In this paper, we propose a novel way to obfuscate such designs by leveraging conventional logic synthesis. We exploit multiple optimizations that are available in the synthesis tool to create design diversity. Our security analysis, performed by using the DANA reverse engineering tool, confirms the significant impact of these optimizations on obfuscation. Among the many considered obfuscated design instances, users can find options that incur very small overheads while still confusing the work of a reverse engineer.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Cryptography & Security
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
The Limitations of Deep Learning in Adversarial Settings
R.I.P.
π»
Ghosted
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
R.I.P.
π»
Ghosted
Spectre Attacks: Exploiting Speculative Execution
R.I.P.
π»
Ghosted
How To Backdoor Federated Learning
R.I.P.
π»
Ghosted
Evasion Attacks against Machine Learning at Test Time
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted