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Gu et al. confirm lightweight detection and classification are more suitable for WSN [5].
Filter methods for feature selection have proven to be crucial when designing a lightweight detection system, which involves identifying important features.
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The objective of this paper is to construct a lightweight Intrusion Detection System (IDS) aimed at detecting anomalies in networks.
Finally in [20], the authors describe a lightweight intrusion detection system for wireless mesh networks.
Burchett et al. [25] gave a lightweight biometric detection with PIR sensors.
Burchett et al. give a lightweight biometric detection system with PIR sensors [22].
A lightweight wormhole detection approach called LITEWORP was proposed by Khalil et al. [9].
In this paper, we propose a hybrid, lightweight intrusion detection system for sensor networks.
Lightweight smell detection can uncover many practically relevant requirements defects in a reasonably precise way.
This paper presents a novel lightweight phishing detection approach completely based on the URL (uniform resource locator).
The authors of [19] propose a lightweight intrusion detection system that is however used for sensor networks and their related attacks (e.g. sinkhole attack), while our prototype is for infrastructure networks and different attack types.
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