RASPBERRY PI BASED SECURITY INCIDENT AND MANAGEMENT SYSTEM FOR SMALL AND MEDIUM IT SETUPS (Implementation of Machine Learning on Raspberry Pi to detect Man In The Middle Attacks)

Abstract

We are living in the time of data innovation, where every IT setup, office, home and client needs to impart and share data. This requirement for correspondence and sharing of data has resulted in an exponential increase in number and size of computer systems. These systems are utilized to share data both inside and outside the IT setup. With the noteworthy increment in number of cyber assaults, there are various protective applications accessible in the market to identify and deal with these assaults. These incorporate Firewalls, IDS and IPS. These frameworks suits well to financially stable setups but they are pricy and beyond the access for financially constraint enterprise IT setups. The installation, maintenance and power costs of these security systems are beyond the capacity of a small and medium sized organization as they are facing difficulties in detecting and managing ever increasing network attacks. To address this problem, this research proposes a cost and power efficient security incident and event management system for small and medium organizations using Raspberry pi computers. Raspberry pi is cheap microcomputer and has low cost and power consumption and have no installation, infrastructure and maintenance requirements. Such hardware can easily be afforded by the user sitting at home or in small and medium size IT setups. Once installed on local area network, solution will be able to capture and analyze network traffic against commonly known man in middle attacks to log any malicious activity for better understanding of network administrator with minimum cost in terms of power and maintenance.