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Title Novel Detection Methods For Securing Wireless Sensor Network Performance Under Intrusion Jamming
ID_Doc 39463
Authors Del-Valle-Soto C.; Valdivia L.J.; Rosas-Caro J.C.
Year 2019
Published CONIELECOMP 2019 - 2019 International Conference on Electronics, Communications and Computers
DOI http://dx.doi.org/10.1109/CONIELECOMP.2019.8673079
Abstract Nowadays, the Internet of Things concept is composed of a scattered collection of different networks with different purposes that has nodes that capture information to be processed and, subsequently, used for purposes such as Smart Cities. These devices, called sensors, have the ability to send large amounts of information in a fairly efficient, but insecure, wireless environment. Intentional interference, named jamming, has emerged as a source of growing concern in recent years. Since no or little network information is required, this type of attack is extremely easy to implement but has become difficult to detect because of its variations in interference frequency.In this document, we propose two new jamming detection mechanisms that can identify reactive jamming without any free jam operation information, called Connected Mechanism and Extended Mechanism. The first one is based on the information of the performance metrics collected from the directly connected nodes. In the second approach, a collector node knows the performance parameters of all nodes in the network and can make comparisons between them. Through extensive simulations, we demonstrate that the first mechanism has an improved performance of 78% and the second has an improved 86% performance in detecting the area affected by an interference node with a proactive protocol such as MPH (Multi-Parent Hierarchical) compared to well-known reactive protocols: AODV (ad hoc distance distance vector) and DSR (dynamic origin routing). © 2019 IEEE.
Author Keywords Detection jamming; detection mechanisms; energy; performance metrics; Wireless Sensor Networks.


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