A Novel Cloud Based NIDPS for Smartphones

Abstract

Internet usage via smartphones becomes higher which catches the attention of malicious cyber attackers to target their cyber threats over smart phones. Data being sent out from phone carries as packets contains lots of private and confidential information about the user. This paper proposes and evaluates an enhanced security model and architecture to provide an Internet security as a service for the smartphone users. It uses a cloud environment, includes VPN Server for the secure communication and network-based IDS and IPS provided with different machine learning detectors to analyze the real-time network traffic and serves as a user-friendly firewall. We also propose a D-S Evidence theory of information fusion to enhance the accuracy of detecting the malicious activity. Empirical result suggests that the proposed framework is effective in detecting the anomaly network activity by malicious smartphones and intruders. © Springer-Verlag Berlin Heidelberg 2014.