Interaction Approach to Curb Emerging Smartphone Malware

Author(s):  K. Hemavathi, N.Muthulakshmi, S.Brindha

Abstract:   TWR is based on simple cyber-physical human interaction i.e., human gestures, that are very quick and intuitive but less like to be exhibited in users daily activities .Presence or absence of such gestures, prior to accessing an application can effectively inform the OS whether the access request is benign or malicious. Specifically, we present the design of a acceleration-based phone tapping detection mechanism The mechanism is geared for NFC applications, which usually require the user to tap her Phone with another device. In practice, to protect mobile phones from malware attack, the Android platform uses permission models to prevent malware from being installed at the first place. Our results suggest the proposed approach could be very effective for malware detection/prevention, with quite low false positive and false ne gat many smart phones are beginning to incorporate Near Field Communication (NFC)chips [23], which allow short, paired transactions with other NFC devices in close proximity. The use of NFC-equipped smart phone as payment token(such as Google Wallet) is considered to be the next generation payment system.