Design and Analysis for Intrusion Detection Systems Based on Sensor Grouping
Date Issued
2016
Date
2016
Author(s)
Chen, Kuan-Yu
Abstract
Over the last decades, Wireless sensor Networks (WSN) is one of the most promising technique that is applied to various fields, such as health care, military surveillance, and environment monitoring. Besides, security is also an important issue in WSN, especially when the response time are taken into account. In this thesis, we are aim to detect the intrusion in a field as soon as possible, by collecting data from large number of sensors. The Cumulative Sum (CUSUM) Test is used to achieve this task, which comes from the aid of Sequential Probability Ratio Test (SPRT). To speed up the detection and collect useful data, we derive a methodology called Sensor Grouping. The grouping technique can not only be used to enhance the system, but it also forms a group-based detection algorithm.
Subjects
Wireless Sensor Networks (WSN)
Quickest Detection
Sequential Probability Ratio Test (SPRT)
Cumulative Sum (CUSUM)
Sensor Grouping
Type
thesis
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