As the technology of mobile devices spreads fast,the price of mobile devices is getting cheaper.Most of the people have mobile devices,and these devices have the technology of near field communication（NFC）.With the ...As the technology of mobile devices spreads fast,the price of mobile devices is getting cheaper.Most of the people have mobile devices,and these devices have the technology of near field communication（NFC）.With the long time development and research,the mobile devices use NFC technology on the payment and authentication applications,and replace the smartcard,the access control card,and the credit card by using the card emulation mode.It helps the development of NFC applications.In recent years,more and more users begin using NFC technology on mobile payment and authentication.Many researches have proposed the related NFC authentication protocols,but their schemes are still lack of some security properties and functions,which are necessary for NFC authentication protocols.In this paper,we propose a secure and efficient NFC authentication scheme between two NFC devices by the help of the authentication server that provides mutual authentication.展开更多
The Android platform is the most popular mobile operating system.With the increase of the number of Android users,a lot of security issues have occurred.In order to detect the malicious behaviors for the installed And...The Android platform is the most popular mobile operating system.With the increase of the number of Android users,a lot of security issues have occurred.In order to detect the malicious behaviors for the installed Android Apps,in this paper,we propose an Android malware detecting scheme by integrating static and dynamic analysis methods.We use Androguard and Droid Box to extract the features,and then remove the irrelevant features.Then we employ the support vector machine（SVM） to classify the Android malware and benignware.From the result of our proposed scheme,the proposed integrated static and dynamic analysis scheme with SVM can effectively detect the Android malware.展开更多
基金partially supported by the MOST under Grant No.105-2221-E-327-036
文摘As the technology of mobile devices spreads fast,the price of mobile devices is getting cheaper.Most of the people have mobile devices,and these devices have the technology of near field communication（NFC）.With the long time development and research,the mobile devices use NFC technology on the payment and authentication applications,and replace the smartcard,the access control card,and the credit card by using the card emulation mode.It helps the development of NFC applications.In recent years,more and more users begin using NFC technology on mobile payment and authentication.Many researches have proposed the related NFC authentication protocols,but their schemes are still lack of some security properties and functions,which are necessary for NFC authentication protocols.In this paper,we propose a secure and efficient NFC authentication scheme between two NFC devices by the help of the authentication server that provides mutual authentication.
基金partially supported by MOST under Grant No.105-2221-E-327-036
文摘The Android platform is the most popular mobile operating system.With the increase of the number of Android users,a lot of security issues have occurred.In order to detect the malicious behaviors for the installed Android Apps,in this paper,we propose an Android malware detecting scheme by integrating static and dynamic analysis methods.We use Androguard and Droid Box to extract the features,and then remove the irrelevant features.Then we employ the support vector machine（SVM） to classify the Android malware and benignware.From the result of our proposed scheme,the proposed integrated static and dynamic analysis scheme with SVM can effectively detect the Android malware.
