Big Data Cyber Security Using Machine Learning

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2023, 2023

6206783200 / 9786206783206

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This item is printed on demand - Print on Demand Titel. Neuware -Cyber security in the context of big data is known to be a critical problem and presents a great challenge to the research community. Machine learning algorithms have been suggested as candidates for handling big data security problems. Among these algorithms, support vector machines (SVMs) have achieved remarkable success on various classification problems. However, to establish an effective SVM, the user needs to deny the proper SVM configuration in advance, which is a challenging task that requires expert knowledge and a large amount of manual effort for trial and error. Here we formulate the SVM configuration process as a bi-objective optimization problem in which accuracy and model complexity are considered as two conflicting objectives. We propose a novel hyper-heuristic framework for bi-objective optimization that is independent of the problem domain. This is the first time that a hyper-heuristic has been developed for this problem. The proposed hyper-heuristic framework consists of a high-level strategy and low-level heuristics.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.

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Bibliographic details

Title
Big Data Cyber Security Using Machine Learning
Author
Kandru Arun Kumar
Publisher
LAP LAMBERT Academic Publishing Sep 2023
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6206783200
ISBN 13
9786206783206
Item weight
113 grams
Dimensions
220x150x5 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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