Design of Intrusion Detection and Prevention Model Using COOT Optimization and Hybrid LSTM-KNN Classifier for MANET

G., Madhu (2022) Design of Intrusion Detection and Prevention Model Using COOT Optimization and Hybrid LSTM-KNN Classifier for MANET. EAI Endorsed Transactions on Scalable Information Systems.

[thumbnail of 52616.pdf] PDF
52616.pdf

Download (2MB)

Abstract

INTRODUCTION: MANET is an emerging technology that has gained traction in a variety of applications due to its ability to analyze large amounts of data in a short period of time. Thus, these systems are facing a variety of security vulnerabilities and malware assaults. Therefore, it is essential to

Item Type: Article
Date Deposited: 04 Mar 2026 15:58
Last Modified: 17 Apr 2026 04:00
URI: http://eprints.eai.eu/id/eprint/41657

Actions (login required)

View Item
View Item