R
Ricardo Dahab
Researcher at State University of Campinas
Publications - 81
Citations - 2886
Ricardo Dahab is an academic researcher from State University of Campinas. The author has contributed to research in topics: Cryptography & Elliptic curve cryptography. The author has an hindex of 21, co-authored 78 publications receiving 2778 citations. Previous affiliations of Ricardo Dahab include Dublin City University.
Papers
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Book ChapterDOI
Fast Multiplication on Elliptic Curves over GF(2m) without Precomputation
Julio López,Ricardo Dahab +1 more
TL;DR: The improved method possesses many desirable features for implementing elliptic curves in restricted environments and requires less memory than projective schemes and the amount of computation needed for a scalar multiplication is fixed for all multipliers of the same binary length.
Book ChapterDOI
NanoECC: testing the limits of elliptic curve cryptography in sensor networks
TL;DR: This paper presents results on implementing ECC, as well as the related emerging field of Pairing-Based Cryptography (PBC), on two of the most popular sensor nodes, and shows that PKC is not only viable, but in fact attractive for WSNs.
Book ChapterDOI
Improved Algorithms for Elliptic Curve Arithmetic in GF(2n)
Julio López,Ricardo Dahab +1 more
TL;DR: A new method for doubling an elliptic curve point, which is simpler to implement than the fastest known method, due to Schroeppel, and which favors sparse elliptic Curve coefficients, and a new kind of projective coordinates that provides the fastestknown arithmetic on elliptic curves.
Proceedings ArticleDOI
SecLEACH - A Random Key Distribution Solution for Securing Clustered Sensor Networks
TL;DR: This work shows how random key predistribution, widely studied in the context of flat networks, can be used to secure communication in hierarchical (cluster-based) protocols such as LEACH.
Journal ArticleDOI
TinyPBC: Pairings for authenticated identity-based non-interactive key distribution in sensor networks
Leonardo B. Oliveira,Diego F. Aranha,Conrado Porto Lopes Gouvêa,Michael Scott,Danilo F. Címara,Julio López,Ricardo Dahab +6 more
TL;DR: TinyPBC as discussed by the authors is the most efficient implementation of PBC primitives for 8, 16 and 32-bit processors commonly found in sensor nodes and can compute pairings in 1.90s on ATmega128L, 1.27s on MSP430 and 0.14s on PXA27x.