Big data in real time to detect anomalies

The proliferation of linked devices and the Internet have made it easier for hackers to infiltrate networks, which can result in cyber attacks, financial loss, healthcare information theft, and cyber war. As a result, network security analytics has drawn a lot of interest from researchers lately, es...

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Published in:Big Data Analytics Techniques for Market Intelligence
Main Author: Abinaya N.; Kumar A.V.S.; Chaturvedi A.; Musirin I.B.; Rao M.; Kaur G.; Kaur S.; Saleh O.S.; Malladi R.; Arya N.
Format: Book chapter
Language:English
Published: IGI Global 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193547557&doi=10.4018%2f979-8-3693-0413-6.ch015&partnerID=40&md5=4ffc043eda20f7c558933ebbe811eab8
id 2-s2.0-85193547557
spelling 2-s2.0-85193547557
Abinaya N.; Kumar A.V.S.; Chaturvedi A.; Musirin I.B.; Rao M.; Kaur G.; Kaur S.; Saleh O.S.; Malladi R.; Arya N.
Big data in real time to detect anomalies
2024
Big Data Analytics Techniques for Market Intelligence


10.4018/979-8-3693-0413-6.ch015
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193547557&doi=10.4018%2f979-8-3693-0413-6.ch015&partnerID=40&md5=4ffc043eda20f7c558933ebbe811eab8
The proliferation of linked devices and the Internet have made it easier for hackers to infiltrate networks, which can result in cyber attacks, financial loss, healthcare information theft, and cyber war. As a result, network security analytics has drawn a lot of interest from researchers lately, especially in the field of anomaly detection in networks, which is seen to be essential for network security. Current methods are ineffective mostly because of the large amounts of data that linked devices have amassed. It is essential to provide a framework that can manage real-time massive data processing and identify network irregularities. This study makes an effort to solve the problem of real-time anomaly detection. This work has examined both the key features of related machine learning algorithms and the most recent real-time big data processing technologies for anomaly detection. The recognized research problems of massive data processing in real-time for anomaly detection are described at this point. © 2024, IGI Global. All rights reserved.
IGI Global

English
Book chapter

author Abinaya N.; Kumar A.V.S.; Chaturvedi A.; Musirin I.B.; Rao M.; Kaur G.; Kaur S.; Saleh O.S.; Malladi R.; Arya N.
spellingShingle Abinaya N.; Kumar A.V.S.; Chaturvedi A.; Musirin I.B.; Rao M.; Kaur G.; Kaur S.; Saleh O.S.; Malladi R.; Arya N.
Big data in real time to detect anomalies
author_facet Abinaya N.; Kumar A.V.S.; Chaturvedi A.; Musirin I.B.; Rao M.; Kaur G.; Kaur S.; Saleh O.S.; Malladi R.; Arya N.
author_sort Abinaya N.; Kumar A.V.S.; Chaturvedi A.; Musirin I.B.; Rao M.; Kaur G.; Kaur S.; Saleh O.S.; Malladi R.; Arya N.
title Big data in real time to detect anomalies
title_short Big data in real time to detect anomalies
title_full Big data in real time to detect anomalies
title_fullStr Big data in real time to detect anomalies
title_full_unstemmed Big data in real time to detect anomalies
title_sort Big data in real time to detect anomalies
publishDate 2024
container_title Big Data Analytics Techniques for Market Intelligence
container_volume
container_issue
doi_str_mv 10.4018/979-8-3693-0413-6.ch015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193547557&doi=10.4018%2f979-8-3693-0413-6.ch015&partnerID=40&md5=4ffc043eda20f7c558933ebbe811eab8
description The proliferation of linked devices and the Internet have made it easier for hackers to infiltrate networks, which can result in cyber attacks, financial loss, healthcare information theft, and cyber war. As a result, network security analytics has drawn a lot of interest from researchers lately, especially in the field of anomaly detection in networks, which is seen to be essential for network security. Current methods are ineffective mostly because of the large amounts of data that linked devices have amassed. It is essential to provide a framework that can manage real-time massive data processing and identify network irregularities. This study makes an effort to solve the problem of real-time anomaly detection. This work has examined both the key features of related machine learning algorithms and the most recent real-time big data processing technologies for anomaly detection. The recognized research problems of massive data processing in real-time for anomaly detection are described at this point. © 2024, IGI Global. All rights reserved.
publisher IGI Global
issn
language English
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