Fast and Effective Intrusion Detection Using Multi-Layered Deep Learning Networks

P. Chellammal, Sheba Kezia Malarchelvi, K. Reka and G. Raja
Additional contact information
P. Chellammal: Department of CSE, J.J. College of Engineering and Technology, Trichy, India
Sheba Kezia Malarchelvi: Department of CSE, Saranathan College of Engineering, Trichy, India
K. Reka: Department of Computer Science, Cauvery College for Women(Autonomous), Trichy, India
G. Raja: Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India

International Journal of Web Services Research (IJWSR), 2022, vol. 19, issue 1, 1-16

Abstract: The process of intrusion detection usually involves identifying complex intrusion signatures from a huge repository. This requires a complex model that can identify these signatures. This work presents a deep learning based neural network model that can perform effective intrusion detection on network transmission data. The proposed multi-layered deep learning network is composed of multiple hidden processing layers in the network that makes it a deep learning network. Detection using the deep network was observed to exhibit effective performances in detecting the intrusion signatures. Experiments were performed on standard benchmark datasets like KDD CUP 99, NSL-KDD, and Koyoto 2006+ datasets. Comparisons were performed with state-of-the-art models in literature, and the results and comparisons indicate high performances by the proposed algorithm.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWSR.310057 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jwsr00:v:19:y:2022:i:1:p:1-16

Access Statistics for this article

International Journal of Web Services Research (IJWSR) is currently edited by Liang-Jie Zhang

More articles in International Journal of Web Services Research (IJWSR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().