Detecting Sybil attacks in image senor network using cognitive intelligence

Wireless Sensor Network has become state-of-art technology of the 21st century, the application ranges from academic to military operations. These tiny sensors can be deployed in open environment, where security to neither data nor hardware can be guaranteed. Unfortunately, due to the resource constraints traditional security schemes cannot be applied directly, therefore designing protocols that can operate securely using smart inherent features is the only viable option. In this paper, Sybil, a denial of service attack on Image Sensor Network is analyzed and the characteristic of the cognitive protocol against this attack is evaluated based on the network's reliability and quality of service.

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