Intrusion Detection Platform with Virtual Honeypots

Abstract

The usage of internet services and online data transfers is increasing a lot nowadays. Security of network services should be a priority for every network service provider. It is important for any network owner to identify network vulnerabilities, especially if attackers try to access its services. It should detect intruders in a very short time and immediately block their actions in order to minimize the network damages and data loss. We design and simulate an intrusion detection platform based on virtual honeypots and present it in a given scenario. An algorithm with an increased capability of analyzing large volumes of data identifies cybersecurity risks by analyzing log files in order to make a decision regarding the appropriate countermeasures to take.