PCCA: Position Confidentiality Conserving Algorithm for Content-Protection in e-Governance Services and Applications

E-Governance or electronic governance is a procedure of public sector regulation and is a significant step in the transformation of municipal administration, with the intention of confiding and smoothing collaboration among the population and civic establishments through Information and Communications Technology-based applications. Content Confidentiality has become a serious anxiety for modern Information Societies. The sensitive nature of much of the private personal data that are exchanged or released to untrusted parties necessitates that liable administrations should embark on suitable content confidentiality protection mechanisms. Nowadays, many of these data are texts (e.g., emails, messages posted in social media, healthcare outcomes, etc.) that, because of their unstructured and semantic nature, constitutes a challenge for automatic data protection methods. In this paper, we present a solution for position confidentiality conserving content protection in e-Governance services through computational intelligence. We propose PCCA, a novel position confidentiality conserving algorithm for content protection in e-Governance. The proposed algorithm applies computational intelligence in e-Governance for content protection by means of rule-based approach from computational intelligence and users current position information. A simulation model has been implemented on a desktop PC and evaluation using roaming users real-time position-based information demonstrates that PCCA can efficiently conserve roaming users position confidentiality while accomplishing better performance, guaranteed position confidentiality, and better quality of service in e-Governance.