Towards optimal sensor placement strategies for early warning systems

Abstract

A network early warning system consists of several distributed sensors to detect malicious network activity. The effectiveness of such early warning systems critically depends on the sensor deployment strategy used. We therefore analysed attack patterns of malicious software collected at sensors worldwide to determine an optimal deployment strategy. Our results show that due to the small numbers of attackers shared among networks, the benefit of large-scale sensor deployment is rather limited. However, there is some evidence that world-wide geographical distribution of sensors has some beneficial effect on the average early warning time.