Privacy Protection in Big Data Auction, Life Cycle and Security

Abstract

Big data is one of the keys to unlock the next great waves of economic growth. A number of smart-world systems (smart grid, smart transportation, smart cities, etc.) driven by advances in Internet of Things (IoT) technologies will accelerate the generation and collection of big data to an unprecedented scale. As a fundamental commodity in our current information age, big data is the crucial competitiveness in modern commerce. This calls for the development of a big data market: pricing, trading, privacy preserving and protection, data security, etc. In this talk, we will discuss the related issues of big data market: pricing, trading, more specifically the big data auction, how we can preserve privacy by leveraging the concept of homomorphic cryptography and secure network protocol design. We propose a generic Privacy-Preserving Auction Scheme (PPAS), in which the two independent entities of Auctioneer and Intermediate Platform comprise an untrusted third-party trading platform. Yet, to further improve the security of the privacy-preserving auction, we also propose an Enhanced Privacy-Preserving Auction Scheme (EPPAS) that leverages an additional signature verication mechanism. The feasibilities of both schemes are validated through detailed theoretical analyses and extensive performance evaluations, including assessment of the resilience to attacks. In addition, we will discuss some open issues and possible extensions relevant to our schemes.