The universal adoption of smartphones in every aspect of modern society raises concerns about security threats which affect users. Since the OS and network stack on smartphones are similar in functionality to the counterparts in PCs, they are vulnerable to similar classes of security risks such as viruses, Trojans, and worms. Malicious activities targeting smartphones are continuously increasing and are projected to continue to increase as they become more lucrative for cyber criminals worldwide. One of the most common network attacks is a man-in-the-middle attack which is implemented by ARP spoofing. ARP spoofing may allow an attacker to intercept data frames on a LAN, modify the traffic, or prevent the network traffic from reaching the destination. The Successful execution of the man-in-the-middle attack often leads to denial of service, man-in-the-middle, or session hijacking attacks. Most solutions for smartphone security require the presence of anti-virus software or intrusion detection system on the phones. Unfortunately, smartphones are constrained by their limited resources that prevent the integration of advanced security monitoring solutions that are more effective on traditional PCs. A timely detection system is needed in order to detect network attacks happening on the smartphone using the cloud computing to bypass the phones limited computing and battery resources.
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