Data diversity of a distributed honey net based malware collection system

The value of a Data collection mechanism like Honeypot/Honeyntes lies in being attacked and probed. Hence the efficiency of these resources depends upon the amount and value of data collected by them but then there is no appropriate measure present to quantify the value of data collated by these systems. Most of the honeynet projects proves the efficiency of their honeynet systems based upon the volume of data collected but then the volume of data in it self could be a misleading parameters as in the case where a honeypot collects a high volume of the data but the data lacks in the diversity as it collects the same attacks in a given time frame again and again from different data sources. In this paper we have done efforts to 1) introduced the diversity index which is commonly used in the ecological studies as a measure to quantify the value of data in terms of diversity of the data 2) and to prove that the diversity of the data collected by a distributed honeynet is greater than that of a honeynet deployed at a single location.