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Amir Moradi

Researcher at Ruhr University Bochum

Publications -  205
Citations -  6212

Amir Moradi is an academic researcher from Ruhr University Bochum. The author has contributed to research in topics: Side channel attack & Encryption. The author has an hindex of 34, co-authored 189 publications receiving 5145 citations. Previous affiliations of Amir Moradi include Sharif University of Technology & Karlsruhe Institute of Technology.

Papers
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Book ChapterDOI

The SKINNY Family of Block Ciphers and Its Low-Latency Variant MANTIS

TL;DR: A new tweakable block cipher family SKINNY is presented, whose goal is to compete with NSA recent design SIMON in terms of hardware/software performances, while proving in addition much stronger security guarantees with regards to differential/linear attacks.
Book ChapterDOI

Pushing the limits: a very compact and a threshold implementation of AES

TL;DR: A very compact hardware implementation of AES-128, which requires only 2400 GE, is described, to the best of the knowledge the smallest implementation reported so far and is still susceptible to some sophisticated attacks having enough number of measurements.
Book ChapterDOI

On the Power of Power Analysis in the Real World: A Complete Break of the KeeLoq Code Hopping Scheme

TL;DR: This work presents the first successful differential power analysis attacks on numerous commercially available products employing KeeLoq code hopping, and demonstrates how to recover the secret key of a remote control and replicate it from a distance, just by eavesdropping on at most two messages.
Journal ArticleDOI

Side-Channel Resistant Crypto for Less than 2,300 GE

TL;DR: The experimental results on real-world power traces show that the proposed provably secure countermeasure against first order side-channel attacks in the lightweight block cipher PRESENT provides additional security.
Book ChapterDOI

Leakage Assessment Methodology

TL;DR: In this article, the authors present a roadmap for the evaluation labs to efficiently and correctly conduct the Welch's t-test at higher orders, and extend the test to multivariate settings, and provide details on how to efficiently carry out such a multivariate higher-order test.