Fault Injection Attacks on Cryptographic Devices: Theory, Practice, and Countermeasures

By Alessandro Barenghi, Luca Breveglieri, Israel Koren, David Naccache. Proceedings of the IEEE, 2012

595 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/cead00c7b3384653ce8013139a5d4543d96fcd07

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jing Huang
2. A. Mukherjee
3. S. Ali A. Fakoorian
4. De-biao He
5. Ping Wang
6. Ding Wang
7. A. L. Swindlehurst

In Computer Vision and Pattern Recognition

1. Jing Huang
2. A. Mukherjee
3. S. Ali A. Fakoorian
4. De-biao He
5. Ding Wang
6. A. L. Swindlehurst

In Hardware and Architecture

1. De-biao He

Citations in the corpus

• Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey (2010, background): “Thus, the vulnerability shown by many implemented cryptographic schemes [5]–[7], the lack of a fundamental proof establishing the difficulty of the decryp tion problem presented to the adversary, and the potential for tr ansformative changes in computing motivate forms of security that are provably ”
• Anonymous Two-Factor Authentication in Distributed Systems: Certain Goals Are Beyond Attainment (2015, background): “As mentioned earlier, the secret data stored in the smart card, which was once believed to be free from breach, could be extracted by state-of-the-art sidechannel attacks [19], [20], [21].”