R
Renato Menicocci
Researcher at Fondazione Ugo Bordoni
Publications - 22
Citations - 275
Renato Menicocci is an academic researcher from Fondazione Ugo Bordoni. The author has contributed to research in topics: Correlation attack & Stream cipher. The author has an hindex of 8, co-authored 22 publications receiving 272 citations.
Papers
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Journal ArticleDOI
Universal masking on logic gate level
J.Dj. Golic,Renato Menicocci +1 more
TL;DR: A concept of random masking of arbitrary logic circuits on the logic gate level is developed and several techniques are proposed, important for protecting hardware implementations of cryptographic algorithms against side-channel attacks.
Book ChapterDOI
Edit Distance Correlation Attack on the Alternating Step Generator
Jovan Dj. Golic,Renato Menicocci +1 more
TL;DR: By systematic computer simulations, it is shown that the minimum output segment length required for a successful attack is linear in the total length of the two stop/go clocked shift registers.
Journal Article
Edit distance correlation attack on the alternating step generator
Jovan Dj. Golic,Renato Menicocci +1 more
TL;DR: In this article, a novel edit distance between two binary input strings and one binary output string of appropriate length which incorporates the stop/go clocking in the alternating step generator is introduced.
Proceedings ArticleDOI
Towards the Certification of Cloud Services
TL;DR: The definition of a unifying meta-model is focused on to provide representational guidelines for the definition of the security properties to be certified, the types of evidence underlying them, as well as of all mechanisms for generating supporting evidence.
Journal ArticleDOI
Correlation Analysis of the Alternating Step Generator
Jovan Dj. Golic,Renato Menicocci +1 more
TL;DR: A probabilistic analysis of the alternating step generator shows that the posterior probabilites of individual bits of the first derivatives of the regularly clocked LFSR1 and L FSR2 sequences, when conditioned on a given segment of thefirst derivative of the keystream sequence, can be computed efficiently in a number of probabilism models of interest.