Navigating network security: A study on contemporary anomaly detection technologies

Title

Navigating network security: A study on contemporary anomaly detection technologies

Creator

Ramya, Sai; Smera, C.; Sandeep, J.

Description

In an era that has been overtaken by digital connectivity, the fact that networks are the center of modern commerce and the operation of life is more than ever evident. And it stands to reason that ensuring proper management of these networks is cardinal especially during the explosion of network attacks and cybersecurity incidents. Security of networks is a high priority, and system intrusion detection is one of the most important tools used for this purpose. The paper discusses various approaches that operate from the classical clustering techniques to the cutting-edge methods integrating blockchain, autoencoders, and graph neural networks. The advised technique supports a holistic and formative model that integrates the contributions of the already accumulated literature. The approach involves combining techniques from various domains such as cloud security, machine learning, and intrusion detection systems. Research is summed up by pinpointing the key emphasis taken to deal with the dynamic nature of network security through cross-functional thinking, offering the prospect of the future in the face of dynamic cyber threats. 2025 Scrivener Publishing LLC. All rights reserved.

Source

Quantum Computing Models for Cybersecurity and Wireless Communications;pp.183-200

Date

01-01-2025

Publisher

wiley

Subject

Anomaly detection; Blockchain; Cyber security; IDS; Intrusion detection system; Network monitoring system; Network security; Technologies in anomaly detection

Coverage

Ramya S., Dept of Computer Science, Christ (Deemed to be University), Bengaluru, India; Smera C., Dept of Computer Science, Christ (Deemed to be University), Bengaluru, India; Sandeep J., Dept of Computer Science, Christ (Deemed to be University), Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-139427142-9; 978-139427139-9;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1002/9781394271429.ch11

https://www.scopus.com/pages/publications/85218821728?origin=resultslist