Remote fingerprinting and multisensor data fusion

Network fingerprinting is the technique by which a device or service is enumerated in order to determine the hardware, software or application characteristics of a targeted attribute. Although fingerprinting can be achieved by a variety of means, the most common technique is the extraction of characteristics from an entity and the correlation thereof against known signatures for verification. In this paper we identify multiple host-defining metrics and propose a process of unique host tracking through the use of two novel fingerprinting techniques. We then illustrate the application of host fingerprinting and tracking for increasing situational awareness of potentially malicious hosts. In order to achieve this we provide an outline of an adapted multisensor data fusion model with the goal of increasing situational awareness through observation of unsolicited network traffic.