A Resource-Efficient System for Detection and Verification of Anomalies Using Mobile Agents in Wireless Sensor Networks
View/ Open
Author(s)
Usman, Muhammad
Muthukkumarasamy, Vallipuram
Wu, Xin-Wen
Year published
2014
Metadata
Show full item recordAbstract
Sensor readings are vulnerable to in situ and in transit anomalies. A well designed anomaly detection system should be able to identify the source of anomalies through in situ verification of suspicious behavior of sensor nodes. One approach for in situ verification is physical diagnosis of sensor nodes, which is a cumbersome and time-consuming task in medium-to-large-scale networks. Therefore, we propose a novel method for in situ verification of malicious sensor nodes using mobile agents. We employ Coordinated Resource Management mechanism-based observations to detect first-order anomalies and perform in situ verification. ...
View more >Sensor readings are vulnerable to in situ and in transit anomalies. A well designed anomaly detection system should be able to identify the source of anomalies through in situ verification of suspicious behavior of sensor nodes. One approach for in situ verification is physical diagnosis of sensor nodes, which is a cumbersome and time-consuming task in medium-to-large-scale networks. Therefore, we propose a novel method for in situ verification of malicious sensor nodes using mobile agents. We employ Coordinated Resource Management mechanism-based observations to detect first-order anomalies and perform in situ verification. Since mobile agents cannot be frequently transmitted over the resource constrained Wireless Sensor Networks (WSN) due to the expensive nature of the communication operation as compared to the processing operation, we propose a method which exploits the historical information of anomalous behavior of the sensor node to optimize mobile agent transmission. The performance of the proposed system is investigated via simulations, experiments on MICAz mote, and comparative study. The results and analysis demonstrate the effectiveness and efficiency of the proposed system, in comparison with other existing schemes.
View less >
View more >Sensor readings are vulnerable to in situ and in transit anomalies. A well designed anomaly detection system should be able to identify the source of anomalies through in situ verification of suspicious behavior of sensor nodes. One approach for in situ verification is physical diagnosis of sensor nodes, which is a cumbersome and time-consuming task in medium-to-large-scale networks. Therefore, we propose a novel method for in situ verification of malicious sensor nodes using mobile agents. We employ Coordinated Resource Management mechanism-based observations to detect first-order anomalies and perform in situ verification. Since mobile agents cannot be frequently transmitted over the resource constrained Wireless Sensor Networks (WSN) due to the expensive nature of the communication operation as compared to the processing operation, we propose a method which exploits the historical information of anomalous behavior of the sensor node to optimize mobile agent transmission. The performance of the proposed system is investigated via simulations, experiments on MICAz mote, and comparative study. The results and analysis demonstrate the effectiveness and efficiency of the proposed system, in comparison with other existing schemes.
View less >
Journal Title
Journal of Networks
Volume
9
Issue
12
Copyright Statement
© 2014 Academy Publisher. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Subject
Networking and Communications