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Identifying potential threats to network security is arguably the single most important task for today’s IT professional. This paper seeks to aid in that task by outlining a framework whereby a readily available web-service visualization tool can be developed. Such a tool would accurately visualize one important aspect of an SNMP notifications log. This paper describes a thought experiment, which outlines the conceptual steps necessary to produce and deploy a web-service visualization tool that IT administrators could use to determine if individual user accounts are at risk of being compromised. Conceptually, the web-service would run on top of a predictive model that exists within the popular data analytics software, RapidMiner. This predictive model would take a text extraction of an SNMP notification log as its input and produce a digital map of user accounts that may be at risk of being compromised.

WHOS KNOCKING AT MY DOOR: DEVELOPING A WEB SERVICE VISUALIZATION TOOL FOR MONITORING USER ACCOUNT HEALTH