Intrusion Detection Technology for Wireless Sensor Networks Based on Autoregressive Moving Average
In wireless sensor networks (WSNs), aiming at the problems that internal attacks such as network congestion and high energy consumption seriously threaten the network security and normal operation, an intrusion detection technology based on traffic prediction is proposed. Firstly, the technology use...
Saved in:
| Main Author: | Ju-zhen Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2022/2155748 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Autoregressive integrated moving average model–based secure data aggregation for wireless sensor networks
by: Hongtao Song, et al.
Published: (2020-03-01) -
Affinity Coefficient for Clustering Autoregressive Moving Average Models
by: Ana Paula Nascimento, et al.
Published: (2024-01-01) -
Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transformers: Longitudinal Observational Study
by: Deliang Yang, et al.
Published: (2025-05-01) -
Beta Autoregressive Moving Average Model with the Aranda-Ordaz Link Function
by: Carlos E. F. Manchini, et al.
Published: (2024-11-01) -
Intrusion Detection and Security Mechanisms for Wireless Sensor Networks
by: S. Khan, et al.
Published: (2014-03-01)