Online citations, reference lists, and bibliographies.

Dynamic Malicious Node Detection With Semi-supervised Multivariate Classification In Cognitive Wireless Sensor Networks

Hongjun Dai, Huabo Liu, Zhiping Jia
Published 2015 · Computer Science
Cite This
Download PDF
Analyze on Scholarcy
Share
Usually, wireless sensor networks are distributed massively with a number of nodes in an open large-scale environment, and they are vulnerable to malicious attacks because the communications change dynamically and unpredictably. In this paper, we present a detection method based on multivariate classification to find out the malicious sensor nodes. It learns the features of a few type-known node, classifies them with dynamical multivariate classification, and then establishes the sample space of all sensor nodes in the network activities to deduce the malicious nodes. The experiment results show that as long as the value of sensor node preferences and the number of active sensor nodes is stable, the false detection rate is stabilized below 0.5%. This proves that the algorithm can be used to the cognitive wireless sensor networks widely. Copyright © 2014 John Wiley & Sons, Ltd.
This paper references
Pract
Hatzinakos D. Ensemble empirical mode decomposition for time Goel G (2014)
10.1109/MC.2002.1039518
Denial of Service in Sensor Networks
A. Wood (2002)
Some properties of a classification system for multivariate life distributions
D. Roy (2001)
10.1109/TCOMM.2012.031912.110179
Hierarchical Trust Management for Wireless Sensor Networks and its Applications to Trust-Based Routing and Intrusion Detection
Fenye Bao (2012)
10.1109/MNET.2009.4804323
A simple and efficient hidden Markov model scheme for host-based anomaly intrusion detection
Jiankun Hu (2009)
10.1109/INFCOM.2007.225
Insider Attacker Detection in Wireless Sensor Networks
Fang Liu (2007)
10.1109/TDSC.2009.48
Cross-Layer Detection of Sinking Behavior in Wireless Ad Hoc Networks Using SVM and FDA
John Felix Charles Joseph (2011)
10.1109/TC.2012.229
MuSA: Multivariate Sampling Algorithmfor Wireless Sensor Networks
André L. L. de Aquino (2014)
10.1109/TDSC.2011.65
ZoneTrust: Fast Zone-Based Node Compromise Detection and Revocation in Wireless Sensor Networks Using Sequential Hypothesis Testing
Jun-Won Ho (2012)
10.1145/2491288.2491289
Balancing lifetime and classification accuracy of wireless sensor networks
Kush R. Varshney (2013)
10.1109/JPROC.2010.2068530
Environmental Wireless Sensor Networks
Peter I. Corke (2010)
10.1016/j.asoc.2012.11.041
An adaptive and efficient dimension reduction model for multivariate wireless sensor networks applications
Murad A. Rassam (2013)
10.1145/1029102.1029103
Security in wireless sensor networks
John A. Stankovic (2004)
10.1109/JSEN.2012.2192425
Semi-Supervised Learning Techniques in Artificial Olfaction: A Novel Approach to Classification Problems and Drift Counteraction
Saverio De Vito (2012)
10.1109/WAINA.2013.135
Malicious Node Detection in Wireless Sensor Networks
Alaa Atassi (2013)
10.1109/GLOCOM.2008.ECP.408
A Machine Learning Based Reputation System for Defending Against Malicious Node Behavior
Rehan Akbani (2008)
10.1109/MNET.2011.5772056
Packet traffic: a good data source for wireless sensor network modeling and anomaly detection
Qinghua Wang (2011)
GPSR : Greedy Perimeter Stateless Routing for Wireless
Brad Karp (2000)
Anomaly Detection in Wireless Sensor Networks
Miao Xie (2013)
10.1109/JSEN.2010.2052033
Cognition in Wireless Sensor Networks: A Perspective
Gayathri Vijay (2011)
10.1109/TNET.2011.2163730
Topological detection on wormholes in wireless ad hoc and sensor networks
Dezun Dong (2009)
10.1109/TAC.2009.2034929
Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas
Nicolas Brunel (2010)
Ad hoc On-Demand Distance Vector Routing
Tecnología (2010)
10.1109/TPDS.2013.74
Distributed Detection in Mobile Access Wireless Sensor Networks under Byzantine Attacks
Mai Abdelhakim (2014)
10.1109/24.963130
Some properties of a classification system for multivariate life distributions
Dilip Roy (2001)
10.1109/JSAC.2005.861389
Information theoretic framework of trust modeling and evaluation for ad hoc networks
Yan Lindsay Sun (2006)
10.1109/SURV.2010.021510.00088
Outlier Detection Techniques for Wireless Sensor Networks: A Survey
Yang Zhang (2008)



Semantic Scholar Logo Some data provided by SemanticScholar