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2020 | OriginalPaper | Buchkapitel

Intrusion Detection and Prevention Systems: An Updated Review

verfasst von : Nureni Ayofe Azeez, Taiwo Mayowa Bada, Sanjay Misra, Adewole Adewumi, Charles Van der Vyver, Ravin Ahuja

Erschienen in: Data Management, Analytics and Innovation

Verlag: Springer Singapore

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Abstract

The evolution of Information Technology (IT), cutting across several divides in our daily endeavors allows us to interact with all forms of data at different OSI model layers from application to physical. These data are susceptible to intrusion, aimed at compromising its integrity; thus, the need to protect these data, maintain its integrity, confidentiality, and availability cannot be overemphasized. Intrusion Detection and Prevention System (IDPS) is a device or software application designed to monitor a network or system. It detects vulnerabilities, reports malicious activities, and enacts preventive measures to keep up with the advancement of computer-related crimes using several response techniques. This paper presents an updated review on IDPSs given the fact that the most recent review found on the subject was done in 2016. It will also discuss the use of IDPSs to identify vulnerabilities in various channels through which data is accessed on a network or system and prevention mechanisms applied to mitigate against intrusion.

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Metadaten
Titel
Intrusion Detection and Prevention Systems: An Updated Review
verfasst von
Nureni Ayofe Azeez
Taiwo Mayowa Bada
Sanjay Misra
Adewole Adewumi
Charles Van der Vyver
Ravin Ahuja
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-32-9949-8_48

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