Computer Science Department
School of Computer Science, Carnegie Mellon University
Simultaneous Scalability and Security
Amit Manjhi, Anastassia Ailamaki, Bruce M. Maggs,
In this paper we study the security-scalability tradeoff, both formally and empirically. We begin by providing a method for statically identifying segments of the database that can be encrypted without impacting scalability. Experiments over a prototype DSSP system show the effectiveness of our static analysis method - for all three realistic benchmark applications that we study, our method enables a significant fraction of the database to be encrypted without impacting scalability. Moreover, most of the data that can be encrypted without impacting scalability is of the type that application designers will want to encrypt, all other things being equal. Based on our static analysis method, we propose a new scalability-conscious security design methodology that features: (a) compulsory encryption of highly sensitive data like credit card information, and (b) encryption of data for which encryption does not impair scalability. As a result, the security-scalability tradeoff needs to be considered only over data for which encryption impacts scalability, thus greatly simplifying the task of managing the tradeoff.