DeepAttack: A Deep Learning Based Oracle-less Attack on Logic Locking

IEEE International Symposium on Circuits and Systems proceedings, pp. 1–5

Abstract

Logic locking is one of the most promising design-for-trust technique for protecting intellectual property from reverse engineering, IP piracy, and modification throughout the electronic supply chain. However, oracle-less deobfuscation attacks that do not require an activated chip have been successful in obtaining the secret key of locked designs. This requires a detailed determination of the extent of vulnerability available in obfuscated circuitry. In this paper, we propose the oracle-less DeepAttack: an attack on logic locking that is capable of extracting the activation key of the locked netlist using a deep learning model. Based on the ISCAS-85 and EPFL benchmarks evaluation, DeepAttack achieves an average key prediction accuracy of 93.39%, outperforming the oracle-less state-of-the-art attacks SAIL, SnapShot, and OMLA by 21.28, 10.73, and 3.84 percentage points, respectively.

Authors 6

1. Anand Raj

   Indian Institute of Technology Hyderabad

   Affiliation as printed

   Indian Institute of Technology,Department of Electrical Engineering,Hyderabad,India

   Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India

2. Nikhitha Avula

   Indian Institute of Technology Hyderabad

   Affiliation as printed

   Indian Institute of Technology,Department of Electrical Engineering,Hyderabad,India

   Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India

3. Pabitra Das

   Indian Institute of Technology Hyderabad

   Affiliation as printed

   Indian Institute of Technology,Department of Electrical Engineering,Hyderabad,India

   Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India

4. Dominik Šišejković Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Germany

   RWTH Aachen University, Germany

5. Farhad Merchant Aachen

   Newcastle University · RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,Germany

   Newcastle University, UK

   RWTH Aachen University, Germany

6. Amit Acharyya

   Indian Institute of Technology Hyderabad

   Affiliation as printed

   Indian Institute of Technology,Department of Electrical Engineering,Hyderabad,India

   Department of Electrical Engineering, Indian Institute of Technology, Hyderabad, India