Special Session: Mitigating Side-channel Attacks through Circuit to Application Layer Approaches

Author:

Kavand Nima1ORCID,Darjani Armin1ORCID,Trommer Jens2ORCID,Galderisi Giulio2ORCID,Mikolajick Thomas12ORCID,Mueller Nicolai3ORCID,Moradi Amir3ORCID,Fang Chongzhou4ORCID,Miao Ning4ORCID,Wang Han5ORCID,Pudukotai Dinakarrao Sai Manoj6ORCID,Homayoun Houman4ORCID,Hettwer Benjamin7ORCID,Parrini Luca7ORCID,Kumar Akash1ORCID

Affiliation:

1. TU Dresden, Dresden, Saxony, Germany

2. Namlab gGmbH, Dresden, Saxony, Germany

3. Ruhr University Bochum, Bochum, North Rhine-Westphalia, Germany

4. UC Davis, Davis, California, USA

5. Temple University, Philadelphia, Pennsylvania, USA

6. George Mason University, Fairfax, Virginia, USA

7. Robert Bosch GmbH, Renningen, Baden-wuerttemberg, Germany

Publisher

ACM

Reference64 articles.

1. Bilal Ali Ahmad. 2020. Real time detection of spectre and meltdown attacks using machine learning. arXiv preprint arXiv:2006.01442 (2020).

2. Gilles Barthe Sonia Belaïd François Dupressoir Pierre-Alain Fouque Benjamin Grégoire Pierre-Yves Strub and Rébecca Zucchini. 2016. Strong Non-Interference and Type-Directed Higher-Order Masking. In CCS. ACM 116--129.

3. Lejla Batina, Shivam Bhasin, Dirmanto Jap, and Stjepan Picek. 2019. CSI NN: Reverse engineering of neural network architectures through electromagnetic side channel. In USENIX Security 19. 515--532.

4. An architecture-independent instruction shuffler to protect against side-channel attacks;Bayrak Ali Galip;TACO,2012

5. Yu Bi, Kaveh Shamsi, Jiann-Shiun Yuan, Francois-Xavier Standaert, and Yier Jin. 2016. Leverage emerging technologies for DPA-resilient block cipher design. In DATE. IEEE, 1538--1543.

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