FODA - A Fast Outlier Detection Algorithm for VPNs
Reji Kurien Thomas · 2013
A Virtual Private Network (VPN) is a computer network using public infrastructure to provide offices with a closed access to the organization's network, reducing expenses on leased lines. The E-business applications have prompted companies to manage processes with lowered operating costs and better customer satisfaction. The applications also need to be scalable in terms of voice, data or video traffic. Deploying VPNs requires planning and can be customized to suitable requirements with a broad range of VPN. The survival of many businesses is dependent on open access to network resources. VPNs provide security associated with private networks with different security technologies. Attackers try malicious activities with harmless-looking connections. Intrusion detection systems try and differentiate these attacks or dissimilar connections. Such dissimilar connections can also be outliers which are not real intrusions. Detection of outliers leads to identification of faults for administrators to take preventive measures. Outliers can also warn detection of new attacks. This paper suggests a new distance based Outlier Detection Algorithm, Fast Outlier Detection Algorithm (FODA) to detect outliers in VPNs.