1,720,978 research outputs found
Differential Power Analysis on (Non-)Linear Feedback Shift Registers
Differential power analysis (DPA) is a statistical analysis of the power traces of cryptographic computations. DPA has many applications including key-recovery on linear feedback shift register based stream ciphers. In 2017, Dobraunig et. al. presented a DPA on Keymill to uncover the bit relations of neighbouring bits in the shift registers, effectively reduces the internal state guessing space to 4-bit. In this work, we generalise the analysis methodology to uncover more bit relations on both linear feedback shift registers (LFSRs) and non-linear feedback shift registers (NLFSRs) and with application to fresh re-keying scheme --- LR-Keymill. In addition, we improve the DPA on Keymill by halving the data resources needed for the attack
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
A deeper understanding of the XOR count distribution in the context of lightweight cryptography
In this paper, we study the behavior of the XOR count distributions under different bases of finite field. XOR count of a field element is a simplified metric to estimate the hardware implementation cost to compute the finite field multiplication of an element. It is an important criterion in the design of lightweight cryptographic primitives, typically to estimate the efficiency of the diffusion layer in a block cipher. Although several works have been done to find lightweight MDS diffusion matrices, to the best of our knowledge, none has considered finding lightweight diffusion matrices under other bases of finite field apart from the conventional polynomial basis. The main challenge for considering different bases for lightweight diffusion matrix is that the number of bases grows exponentially as the dimension of a finite field increases, causing it to be infeasible to check all possible bases. Through analyzing the XOR count distributions and the relationship between the XOR count distributions under different bases, we find that when all possible bases for a finite field are considered, the collection of the XOR count distribution is invariant to the choice of the irreducible polynomial of the same degree. In addition, we can partition the set of bases into equivalence classes, where the XOR count distribution is invariant in an equivalence class, thus when changing bases within an equivalence class, the XOR count of a diffusion matrix will be the same. This significantly reduces the number of bases to check as we only need to check one representative from each equivalence class for lightweight diffusion matrices. The empirical evidence from our investigation says that the bases which are in the equivalence class of the polynomial basis are the recommended choices for constructing lightweight MDS diffusion matrices
Lightweight MDS Generalized Circulant Matrices (Full Version)
In this article, we analyze the circulant structure of generalized circulant matrices to reduce the search space for finding lightweight MDS matrices. We first show that the implementation of circulant matrices can be serialized and can achieve similar area requirement and clock cycle performance as a serial-based implementation. By proving many new properties and equivalence classes for circulant matrices, we greatly reduce the search space for finding lightweight maximum distance separable (MDS) circulant matrices. We also generalize the circulant structure and propose a new class of matrices, called cyclic matrices, which preserve the benefits of circulant matrices and, in addition, have the potential of being self-invertible. In this new class of matrices, we obtain not only the MDS matrices with the least XOR gates requirement for dimensions from 3x3 to 8x8 in GF(2^4) and GF(2^8), but also involutory MDS matrices which was proven to be non-existence in the class of circulant matrices. To the best of our knowledge, the latter matrices are the first of its kind, which have a similar matrix structure as circulant matrices and are involutory and MDS simultaneously. Compared to the existing best known lightweight matrices, our new candidates either outperform or match them in terms of XOR gates required for a hardware implementation. Notably, our work is generic and independent of the metric for lightweight. Hence, our work is applicable for improving the search for efficient circulant matrices under other metrics besides XOR gates
A Deeper Understanding of the XOR Count Distribution in the Context of Lightweight Cryptography
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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