Improving Sensor Network Security with Information Quality

摘要

With extremely limited resources, it is hard to protect sensor networks well with conventional security mechanisms. We study a class of passive fingerprinting techniques and propose an innovative information quality based approach to improve the security of sensor network. For each sensor, we create a quality profile QP of profiling its normal/standard sensing behaviour. After deployment, new sensor readings axe verified using this QP. If significant deviation is found, we either regard the readings as an abnormal behaviour or declare the sensor to be a fake sensor. The methods can be used as an assistant sensor authentication mechanism, but with a potential drawback. Furthermore, we also demonstrate a secure data fusion protocol, applying the proposed methods together with conventional security mechanisms. Through security analysis, we point out several countermeasures that can explicitly or implicitly defend against these attacks.