An investigation of information granulation techniques in cybersecurity

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

An investigation of information granulation techniques in cybersecurity

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

An investigation of information granulation techniques in cybersecurity

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

Studies in Computational Intelligence

ISBN

—

ISSN

1860-949X

e-ISSN

1860-9503

Počet stran výsledku

13

Strana od-do

151-163

Název nakladatele

Springer Nature

Místo vydání

Cham

Místo konání akce

Yogakarta, Indonesie

Datum konání akce

8. 4. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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