Malevolent Node Detection Based on Network Parameters Mining in Wireless Sensor Networks
Open Access
- 1 September 2021
- journal article
- research article
- Published by IGI Global in International Journal of Digital Crime and Forensics
- Vol. 13 (5), 130-144
- https://doi.org/10.4018/ijdcf.20210901.oa8
Abstract
The exponential growth of the internet of things and united applications have renewed the scholarly world to grow progressively proficient routing strategies. Quality of service (QoS) and reduced power consumption are the major requirements for effective data transmission. The larger part of the applications nowadays including internet of things (IoT) communication request power effective and QoS-driven WSN configuration. In this paper, an exceptionally strong and effective evolutionary computing allied WSN routing convention is designed for QoS and power effectiveness. The proposed routing convention includes proficient capacity called network condition-based malicious node detection. It adventures or mines the dynamic node/network parameters to recognize malignant nodes. Experimentation is done using network simulator tool NS2. Results ensure that the proposed routing model accomplishes higher throughput, low energy utilization, and low delay that sustains its suitability for real-time WSN.Keywords
This publication has 16 references indexed in Scilit:
- Detection of Good and Bad Sensor Nodes in the Presence of Malicious Attacks and Its Application to Data AggregationIEEE Transactions on Signal and Information Processing over Networks, 2018
- Recursive Principal Component Analysis-Based Data Outlier Detection and Sensor Data Aggregation in IoT SystemsIEEE Internet of Things Journal, 2017
- Outlier detection for wireless sensor networks using density‐based clustering approachIET Wireless Sensor Systems, 2017
- Distributed outlier detection algorithm based on credibility feedback in wireless sensor networksIET Communications, 2017
- Defective Sensor Identification for WSNs Involving Generic Local Outlier Detection TestsIEEE Transactions on Signal and Information Processing over Networks, 2016
- Anomaly Detection in Wireless Sensor Networks in a Non-Stationary EnvironmentIEEE Communications Surveys & Tutorials, 2014
- A Survey on Energy-Efficient Routing Techniques with QoS Assurances for Wireless Multimedia Sensor NetworksIEEE Communications Surveys & Tutorials, 2011
- A Network Conditions Aware Geographical Forwarding Protocol for Real-Time Applications in Mobile Wireless Sensor NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Centered Hyperspherical and Hyperellipsoidal One-Class Support Vector Machines for Anomaly Detection in Sensor NetworksIEEE Transactions on Information Forensics and Security, 2010
- Outlier detection and countermeasure for hierarchical wireless sensor networksIET Information Security, 2010