ADLU: a novel anomaly detection and location-attribution algorithm for UWB wireless sensor networks

Abstract

Wireless sensor networks (WSNs) are gaining more and more interest in the research community due to their unique characteristics. Besides energy consumption considerations, security has emerged as an equally important aspect in their network design. This is because WSNs are vulnerable to various types of attacks and to node compromises, and as such, they require security mechanisms to defend against them. An intrusion detection system (IDS) is one such solution to the problem. While several signature-based and anomaly-based detection algorithms have been proposed to date for WSNs, none of them is specifically designed for the ultra-wideband (UWB) radio technology. UWB is a key solution for wireless connectivity among inexpensive devices characterized by ultra-low power consumption and high precision ranging. Based on these principles, in this paper, we propose a novel anomaly-based detection and location-attribution algorithm for cluster-based UWB WSNs. The proposed algorithm, abbreviated as ADLU, has dedicated procedures for secure cluster formation, periodic re-clustering, and efficient cluster member monitoring. The performance of ADLU in identifying and localizing intrusions using a rule-based anomaly detection scheme is studied via simulations.

Balancing Trade-off between Data Security and Energy Model for Wireless Sensor Network

“…The design factors of the modelling considered the components of Stackelberg games. It can be seen in the study of [18] that same author has carried out an alternative simulation to detect the anomaly of respective events.…”

Detecting Sybil attacks in wireless sensor networks using UWB ranging-based information

“…However, the UWB ranging mechanism is not error-free. At the same time, it is vulnerable to ranging attacks (Karapistoli & Economides, 2014). Therefore, in order to fully assess the efficacy of the underlying detection algorithm, we devised a rigorous analytic framework that computes a node's probability of ranging at least two other nodes located in the same area.…”

Trends of Recent Secure Communication System and its Effectiveness in Wireless Sensor Network

“…The attack environment was modeling using Bayesian Stackelberg games where the outcome was studied on probability and utility factor. The same authors have presented a different work in the same year [38] for performing anomaly detection. Kumar et al [39] have jointly used the neural network and game theory to formulate a novel defense mechanism in WSN.…”