Toward Intelligent Intrusion Prediction for Wireless Sensor Networks Using Three-Layer Brain-Like Learning
The intrusion prediction for wireless sensor networks (WSNs) is an unresolved problem. Hence, the current intrusion detection schemes cannot provide enough security for WSNs, which poses a number of security challenges in WSNs. In many mission-critical applications, such as battle field, even though...
Saved in:
| Main Authors: | Jun Wu, Song Liu, Zhenyu Zhou, Ming Zhan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-10-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2012/243841 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fuzzy trust model for wireless sensor networks with intrusion tolerance
by: WANG Liang-min1, et al.
Published: (2010-01-01) -
CUSUM-Based Intrusion Detection Mechanism for Wireless Sensor Networks
by: Bishan Ying
Published: (2014-01-01) -
Intrusion Detection Systems in Wireless Sensor Networks: A Review
by: Nabil Ali Alrajeh, et al.
Published: (2013-05-01) -
Analysis of the Deployment Quality for Intrusion Detection in Wireless Sensor Networks
by: Noureddine Assad, et al.
Published: (2015-01-01) -
Danger theory inspired intrusion detection model for wireless sensor networks
by: Rong-rong FU, et al.
Published: (2012-09-01)