Database

PEKS with Keyword Search is one of the most used method to search keywords over encrypted data. However, semantic security is not preserved and dictionary attack can help attackers to guess keywords. This project solves that issue implementing PEKS and searching keywords over Bloom Filter.

From a given snapshot of a social network database, we can predict whether a person can be potentially connected to another person, by analyzing existing links. We take two datasets (Facebook dataset from Stanford Large Network Dataset Collection and bibliography dataset from DBLP) and import that into MySQL, and Neo4J (Graph based DB) to evaluate the metrics for different network topology.