Fault-Tolerant Privacy-Preserving Block Aggregation Scheme With Straw-Man Construction

The main objective of this paper is to allow an suspicious aggressor estimate statistics without harming individual's privacy and is resilient to user failure and compromise, and can efficiently support dynamic leaves and joins. This paper will also show the combination of cryptography and computational differential privacy. The world requires applications where an suspicious aggressor can collect information without harming user's privacy and compute aggregate stats periodically.