Multimodal content protection information security situation awareness system based on PCCA
Author(s): YL Prathapa Reddy
Abstract: Nowadays, many of these societies’ data or texts (e.g., emails, messages posted in social media, healthcare outcomes, etc.) has become unstructured and semantic nature. This constitutes a challenge for automatic data protection methods. Hence, in this paper multimodal content protection information security situation awareness system based on PCCA is developed. In this position confidentiality conserving algorithm for content protection (PCCA) is used. The proposed algorithm applies computational intelligence for content protection by means of rule-based approach from computational intelligence and user’s current position information. Hence, PCCA can efficiently conserve roaming user’s position confidentiality while accomplishing better performance, guaranteed position confidentiality, and better quality of service.