A privacy-preserving framework for compressed pattern matching over encrypted data using lightweight XOR-based encryption and bit-parallel processing
With the tremendous growth of cloud computing, cyber threat intelligence systems, and compressed big-data storage, efficient and secure compressed pattern-matching techniques are in high demand. Traditional compressed pattern-matching methods mainly focus on computational efficiency and do not consider privacy preserva...