PROJECT TITLE :

A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection

ABSTRACT:

Anomaly detection (AD) use among the network Intrusion Detection field of research, or network intrusion AD (NIAD), depends on the proper use of similarity and distance measures, however the measures used are usually not documented in printed research. Hence, whereas the body of NIAD analysis has grown extensively, data of the utility of similarity and distance measures inside the sphere has not grown correspondingly. NIAD research covers a myriad of domains and employs a numerous array of techniques from easy -means Clustering through advanced multiagent distributed AD systems. This review presents an summary of the utilization of similarity and distance measures inside NIAD analysis. The analysis provides a theoretical background in distance measures and a discussion of varied sorts of distance measures and their uses. Exemplary uses of distance measures in published analysis are presented, as is the overall state of the distance live rigor in the sector. Finally, areas that need more focus on improving the space measure rigor in the NIAD field are presented.