The Proposal of Fuzzy Observation and Detection of Massive Data DDOS Attack Threat

Zarzycki, Hubert; Apiecionek, Łukasz; Czerniak, Jacek M.; Ewald, Dawid

doi:10.1007/978-3-030-47024-1_34

Cited by 11 publications

(2 citation statements)

References 35 publications

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“…This is another step in the evolution of the algorithm, which continues to progress in light of new discoveries and experiments. On the other hand, let us note that article [46] focuses on the application of fuzzy logic, particularly Ordered Fuzzy Numbers, in observing and detecting DDOS attacks, representing a completely different research area from that of the ADPO.…”

Section: Proposed Artificial Duroc Pigs Optimization Methodsmentioning

confidence: 99%

A New Artificial Duroc Pigs Optimization Method Used for the Optimization of Functions

Czerniak,

Ewald,

Paprzycki

et al. 2024

Electronics

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In this contribution, a novel optimization approach, derived from the behavioral patterns exhibited by Duroc pig herds, is proposed. In the developed metaheuristic, termed Artificial Duroc Pigs Optimization (ADPO), Ordered Fuzzy Numbers (OFN) have been applied to articulate and elucidate the behavioral dynamics of the pig herd. A series of experiments has been conducted, using eight standard benchmark functions, characterized by multiple extrema. To facilitate a comprehensive comparative analysis, experiments employing Particle Swarm Optimization (PSO), Bat Algorithm (BA), and Genetic Algorithm (GA), were executed on the same set of functions. It was found that, in the majority of cases, ADPO outperformed the alternative methods.

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Section: Proposed Artificial Duroc Pigs Optimization Methodsmentioning

confidence: 99%

A New Artificial Duroc Pigs Optimization Method Used for the Optimization of Functions

Czerniak,

Ewald,

Paprzycki

et al. 2024

Electronics

Self Cite

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“…Ordered FNs' usefulness follows from the fact that it is interpreted as FN equipped with information about the position of the approximated number. Ordered FNs have already begun to find their use in modelling a real-world problems [6][7][8][9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Oriented Fuzzy Numbers vs. Fuzzy Numbers

Piasecki

Łyczkowska-Hanćkowiak

2021

Mathematics

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A formal model of an imprecise number can be given as, inter alia, a fuzzy number or oriented fuzzy numbers. Are they formally equivalent models? Our main goal is to seek formal differences between fuzzy numbers and oriented fuzzy numbers. For this purpose, we examine algebraic structures composed of numerical spaces equipped with addition, dot multiplication, and subtraction determined in a usual way. We show that these structures are not isomorphic. It proves that oriented fuzzy numbers and fuzzy numbers are not equivalent models of an imprecise number. This is the first original study of a problem of a dissimilarity between oriented fuzzy numbers and fuzzy numbers. Therefore, any theorems on fuzzy numbers cannot automatically be extended to the case of oriented fuzzy numbers. In the second part of the article, we study the purposefulness of a replacement of fuzzy numbers by oriented fuzzy numbers. We show that for a portfolio analysis, oriented fuzzy numbers are more useful than fuzzy numbers. Therefore, we conclude that oriented fuzzy numbers are an original and useful tool for modelling a real-world problems.

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The Golden Ratio of Area Method Based on Fuzzy Number Area as a Defuzzyfier

Dobrosielski

2022

Lecture Notes in Networks and Systems

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The Proposal of Fuzzy Observation and Detection of Massive Data DDOS Attack Threat

Cited by 11 publications

References 35 publications

A New Artificial Duroc Pigs Optimization Method Used for the Optimization of Functions

A New Artificial Duroc Pigs Optimization Method Used for the Optimization of Functions

Oriented Fuzzy Numbers vs. Fuzzy Numbers

The Golden Ratio of Area Method Based on Fuzzy Number Area as a Defuzzyfier

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