AccountTrade: Accountable protocols for big data trading against dishonest consumers

摘要: We propose AccountTrade, a set of accountable protocols, for big data trading among dishonest consumers. To secure the environment, our protocols achieve book-keeping ability and accountability against consumers who may misbehave throughout dataset transactions. Specifically, we study responsibilities in design AccountTrade to try deviate from their responsibilities. uniqueness index, new rigorous measurement uniqueness, as well several enable brokers blame consumer when misbehavior is detected. formally define, prove, evaluate by an automatic verification tool extensive evaluation real-world datasets. Our shows that incurs negligible constant storage overhead per file (<10KB), it able handle 8–1000 concurrent uploading server depending on types.