Enhanced security in computer networks based on multilevel system and user intervention

A detailed study focusing on current security systems implemented in Computer Networks reveals controlling both physical and logical threats which are posed over a network. The existing security systems control the physical and logical threats either with the interaction of users or the automated computer policies set by the system itself using the Internet of Things [IOT], Messaging Services, RFID etc which in a real time world faces practical disturbances and inconveniences in the flow of the work. This paper focuses on combination of user and system interaction, whole together in the course of providing efficient secured network using multilevel system and user intervention which in turn reduces the system or the user's possibility of false perception in securing the network. The physical network environment threats are measured based on the room temperature, humidity, unauthorized access in the environment etc and those data are calculated with the existing security systems and user-defined metrics. Using these data, securing a network in an efficient manner is quite a challenge for either the user or the system. We propose to analyse the above data with the help of existing perception control systems [1]. The analyzed data works as a Decision Support System [DSS] in deciding the prime factor of security alert posed, possibility of accuracy in the available data and the current scenario of the environment. Based on the DSS analysis, the security alert is initiated in the first level alerting the system itself. However, the system takes only preliminary action by either notifying the user levels about the current scenario through WEB, MAILS, GSM etc or by blocking the present network transactions. In the next level, based on the alert raised by the system, the user matches the existing alert with real time scenario and could confirm the alert level either true or false. Based on the User and the System Intervention, the attack will be confirmed and the network could be shut down or closed. The combined intervention of both the user and the system using the DSS reduces the false perception of network attack and improves the uptime of the network avoiding unnecessary false alerts.