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Wald-Wolfowitz Runs Test II01:17

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The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
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Norton's theorem is a fundamental principle stating that a linear two-terminal circuit can be substituted with an equivalent circuit, which comprises a current source (ⅠN) in parallel with a resistor (RN). Here, ⅠN represents the short-circuit current flowing through the terminals, and RN stands for the input or equivalent resistance at the terminals when all independent sources are deactivated. This implies that the circuit illustrated in Figure (a) can be exchanged with the...
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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Benzene to 1,4-Cyclohexadiene: Birch Reduction Mechanism01:18

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Birch reduction uses solvated electrons as reducing agents. The reaction converts benzene to 1,4-cyclohexadiene. The reaction proceeds by the transfer of a single electron to the ring to form a benzene radical anion. This anion is highly basic—it abstracts a proton from the alcohol to form a cyclohexadienyl radical. Another single electron transfer gives the cyclohexadienyl anion. A proton transfer from the alcohol forms 1,4-cyclohexadiene. Since this reduction occurs via radical anion...
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Wald-Wolfowitz Runs Test I01:17

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The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
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Routh-Hurwitz Criterion II01:19

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In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Breaking Data Encryption Standard with a Reduced Number of Rounds Using Metaheuristics Differential Cryptanalysis.

Kamil Dworak1, Urszula Boryczka1

  • 1Faculty of Science and Technology, University of Silesia in Katowice, Będzińska 39, 41-200 Sosnowiec, Poland.

Entropy (Basel, Switzerland)
|December 24, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel metaheuristic attack combining differential cryptanalysis (DC) and memetic algorithms (MA) with simulated annealing (SA) to efficiently guess Data Encryption Standard (DES) subkeys. The MASA approach significantly reduces the search space for faster cryptanalysis.

Keywords:
DESdifferential cryptanalysismemetic algorithmsmetaheuristicssimulated annealingsymmetric block ciphers

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Area of Science:

  • Cryptography
  • Computer Science
  • Artificial Intelligence

Background:

  • Traditional cryptanalysis methods face challenges with complex encryption algorithms.
  • Metaheuristic algorithms offer potential for optimizing cryptanalytic attacks.
  • Differential cryptanalysis (DC) is a powerful technique for analyzing block ciphers.

Purpose of the Study:

  • To develop and evaluate a novel metaheuristic cryptanalytic attack combining differential cryptanalysis and memetic algorithms.
  • To assess the efficiency of the proposed attack against the reduced Data Encryption Standard (DES).
  • To compare the performance of the new attack with existing metaheuristic and classical cryptanalytic methods.

Main Methods:

  • Implementation of a memetic algorithm with simulated annealing (MASA) for enhanced local search.
  • Application of differential cryptanalysis (DC) to target the last subkey of a reduced-round DES.
  • Verification of the MASA attack on ciphertexts generated using a six-round DES.
  • Comparative analysis of MASA against Genetic Algorithm (NGA) and classical DC attacks regarding time and memory consumption.
  • Investigation of the entropy of MASA and NGA attacks.

Main Results:

  • The MASA attack successfully targets the last encryption subkey of the reduced DES.
  • The proposed approach significantly reduces the search space by automatically rejecting suboptimal solutions.
  • MASA demonstrates competitive or superior performance compared to NGA and classical DC in terms of time and memory efficiency.
  • The study provides insights into the entropy characteristics of the MASA and NGA attacks.

Conclusions:

  • The developed MASA attack presents an effective and efficient method for cryptanalysis of symmetric-key algorithms like DES.
  • Metaheuristic approaches, particularly MASA, offer a promising direction for advancing cryptanalytic capabilities.
  • The findings contribute to the understanding of cryptanalytic attack complexities and the optimization of search strategies in cryptography.