An Intrusion Prevention and Detection Approach for Clustering-Based Sensor Networks

碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 92 ===   Security issues are important for the sensor network deployed in large area and automatically establishing the data route. Recently many famous clustering-based routing protocols provide energy-aware solutions for sensor network. However,the security related...

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Bibliographic Details
Main Authors: Ko-Ming Chang, 張格銘
Other Authors: Yau-Huang Kuo
Format: Others
Language:en_US
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/95132935457470576499
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Summary:碩士 === 國立成功大學 === 資訊工程學系碩博士班 === 92 ===   Security issues are important for the sensor network deployed in large area and automatically establishing the data route. Recently many famous clustering-based routing protocols provide energy-aware solutions for sensor network. However,the security related works are rare.   In this paper, we analyze some famous attack methods on clustering-based sensor networks and propose two methods to improve the security of sensor networks: authentication based intrusion prevention and energy saving intrusion detection mechanism. In the first method, we use two different authentications for cluster-head and member nodes to save the computation power of each node. In the second method, we also use two different mechanisms for monitoring cluster-head and member nodes. When monitoring cluster-head, we let neighbor nodes take turns to monitor cluster-head. This can reduce the monitoring-time, and therefore save the energy of monitor nodes. When monitoring member nodes, cluster-head has the authority to detect and revoke malicious member nodes in the round time. It can save lots of energy because we using cluster-head to monitor member nodes instead of using all neighbors to monitor each other.   Finally, we demonstrate that our method is energy saving and has tolerance of certain intrusions with mathematical analysis and simulations