An Efficient Hybrid Anomaly Detection Scheme Using K-Means Clustering for Wireless Sensor Networks

标题
An Efficient Hybrid Anomaly Detection Scheme Using K-Means Clustering for Wireless Sensor Networks
作者
关键词
Wireless sensor networks, Hybrid anomaly, Misdirection attack, Blackhole attack, K-means clustering, Intrusion detection, Security
出版物
WIRELESS PERSONAL COMMUNICATIONS
Volume 90, Issue 4, Pages 1971-2000
出版商
Springer Nature
发表日期
2016-06-18
DOI
10.1007/s11277-016-3433-3

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation