A two-stage flow-based intrusion detection model for next-generation networks.
The next-generation network provides state-of-the-art access-independent services over converged mobile and fixed networks. Security in the converged network environment is a major challenge. Traditional packet and protocol-based intrusion detection techniques cannot be used in next-generation netwo...
Main Authors: | Muhammad Fahad Umer, Muhammad Sher, Yaxin Bi |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5766127?pdf=render |
Similar Items
-
An Optimized Hybrid Deep Intrusion Detection Model (HD-IDM) for Enhancing Network Security
by: Iftikhar Ahmad, et al.
Published: (2023-10-01) -
Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models
by: Dusmurod Kilichev, et al.
Published: (2024-02-01) -
An Efficient Two-Stage Network Intrusion Detection System in the Internet of Things
by: Hongpo Zhang, et al.
Published: (2023-01-01) -
Dataset generation and network intrusion detection based on flow-level information /
by: Ahmed Abdalla Mohamedali Abdalla, 1978-, author 597941, et al.
Published: (2015) -
A Novel Two-Stage Deep Learning Model for Network Intrusion Detection: LSTM-AE
by: Vanlalruata Hnamte, et al.
Published: (2023-01-01)