Advances in Engineering Innovation

Advances in Engineering Innovation

Vol. 2, 07 October 2023


Open Access | Article

Intrusion detection in cybersecurity

Johnny Smithie * 1
1 Embry- Riddle University

* Author to whom correspondence should be addressed.

Advances in Engineering Innovation, Vol. 2, 14-17 Advances in Engineering Innovation,
Published 07 October 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Johnny Smithie. Intrusion detection in cybersecurity. AEI (2023) Vol. 2: 14-17. DOI: 10.54254/2977-3903/2/2023014.

Abstract

The ever-increasing complexity of cyber threats mandates advanced defense mechanisms. Intrusion Detection Systems (IDS) have emerged as fundamental tools in cybersecurity, incessantly monitoring networks for any suspicious activities. This paper offers an in-depth examination of IDS, tracing its evolution, methodologies, challenges, and future trajectories, substantiating the assertions with empirical studies and research.

Keywords

intrusion detection system, cybersecurity, network security, threat intelligence, anomaly detection

References

1. Smith, J. (2018). Evolution of Cyber Threats. CyberSec Journal.

2. Williams, R. (2019). Historical Analysis of Cyber Threats. InfoSec Review.

3. Brown, L. (2020). Network-based Intrusion Detection Systems. Network Security Monthly.

4. Davis, P. (2021). Exploring Host-based IDS. TechSecurity Today.

5. Perez, A. (2022). Optimizing NIDS for Large Networks. Network Defense Journal.

6. Lopez, S. (2022). Insider Threats and HIDS. Host Defense Magazine.

7. Johnson, M., & Goel, S. (2020). AI in Intrusion Detection. AI Security.

8. Turner, K. (2021). False Positives in IDS. Security Challenges Journal.

9. Miller, N. (2020). Keeping IDS Updated. Cybersecurity Updates.

10. Chen, H. (2022). Resource Costs in IDS. IDS Review.

11. Roberts, L. (2023). Future of IDS. TechFutures.

12. Lewis, A., & Clark, M. (2022). IDS in IoT. IoT Security Digest.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Advances in Engineering Innovation (AEI)
ISBN (Print)
ISBN (Online)
Published Date
07 October 2023
Series
Advances in Engineering Innovation
ISSN (Print)
2977-3903
ISSN (Online)
2977-3911
DOI
10.54254/2977-3903/2/2023014
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated