Providing efficient, scalable and privacy preserved verification mechanism in remote attestation

Abstract

Numerous applications are running in a distributed environment in today's large networked world. Corporations really need a mechanism to monitor their own application(s) running on remote devices. One such mechanism by Trusted Computing Group (TCG) called remote attestation that can monitor and verify trustworthiness of remote applications. In this regard, many solutions have been provided on how to monitor remote applications. However, It becomes quite challenging task, when applications are running on millions of devices and it becomes necessary for the corporates to verify all of the applications. In this paper we have provided an efficient, scalable and privacy preserved mechanism to tackle the scalability of all these kinds of verifications. Machine learning algorithms are incorporated as Hadoop/MapReduce functions on the public cloud. The rest of low CPU intensive and privacy preserved verifications are performed on the private cloud.