An investigation of information granulation techniques in cybersecurity

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017080" target="_blank" >RIV/62690094:18450/20:50017080 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-030-14132-5_12" target="_blank" >http://dx.doi.org/10.1007/978-3-030-14132-5_12</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-14132-5_12" target="_blank" >10.1007/978-3-030-14132-5_12</a>

Result language

angličtina

Original language name

An investigation of information granulation techniques in cybersecurity

Original language description

Information Granulation in the context of Granular Computing provides a viable alternative for finding solutions to complex problems using granules. Issues such as intrusions, malware exigencies, spam and user unauthorized access still remain challenging in cybersecurity. Moreover, as the prevalence of undetected attacks due to system design flaws and system development flaws become rampant in the cybersecurity systems. Although, numerous techniques that have been applied have shown very good prospects, there are several difficulties in managing cyber-attacks from the angle of biometric recognition systems which are commonly used in cybersecurity. These challenges has positioned cybersecurity issues to be regarded as complex and uncertain which requires techniques such as information granulation to unravel a sustainable solution. This paper investigates how information granulation techniques are used in cybersecurity detection models with the aim of providing a holistic view of the current status of research in this area. In this paper, we proposed a framework that applied the principle of justifiable granularity (PJG) in the feature extraction module of a finger-vein recognition system using granular support vector machines as classifier to justify the effectiveness of information granulation in strengthening a verification system in a cybersecurity setting. We benchmark our result with state-of-the-art biometric verification systems, and our approach shows promising contribution in that direction.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Studies in Computational Intelligence

ISBN

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ISSN

1860-949X

e-ISSN

1860-9503

Number of pages

13

Pages from-to

151-163

Publisher name

Springer Nature

Place of publication

Cham

Event location

Yogakarta, Indonesie

Event date

Apr 8, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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