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We present a distributed tax preparation application as an example of anonymous processing in the cloud where processing units are interconnected anonymously via intermediaries. This example uses the double-locked box which was used in the anonymous credit card in the 1990s. However, unlike the anonymous credit card our application automates the distribution of the double-locked boxes and the connection...
The increasing ability to track and collect large amounts of data with the use of current hardware and software technology has lead to immense challenge and consequent interest in the development of data mining algorithms which preserve user security and privacy in a large distributed system. Secure data aggregation with privacy preserving feature is a demanding task. Privacy preservation is becoming...
This paper proposes a scalable, local privacy-preserving algorithm for distributed peer-to-peer (P2P) data aggregation useful for many advanced data mining/analysis tasks such as average/sum computation, decision tree induction, feature selection, and more. Unlike most multi-party privacy-preserving data mining algorithms, this approach works in an asynchronous manner through local interactions and...
It is a primary task in the privacy-preserving data mining in the distributed environment how to protect privacy and at the same time acquire accurate data relation. This paper shows how two parties built a decision tree collaboratively without revealing privacy when datasets is vertically distributed, including a PPC4.5 algorithm for privacy preserving via C4.5 over vertically distributed datasets...
We address issues related to sharing information in a distributed system consisting of autonomous entities, each of which holds a private database. We consider threats from malicious adversaries that can deviate from the designated protocol and change their input databases. We classify malicious adversaries into two widely existing subclasses, namely weakly and strongly malicious adversaries, and...
Systems of logical clocks are commonly found in distributed systems for establishing causality between events occurring in concurrent communicating processes. Vector clocks are a popular type of logical clocks which require processes to attach to each message a logical timestamp that contains information about the sender process's view of the state of the distributed computation at the time of message...
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