Internet of Everything (Ioe): Analysing the Individual Concerns Over Privacy Enhancing Technologies (Pets)

Abstract

This paper aims to investigate the effectiveness of the provision of privacy of individuals through privacy enhancing technologies (PETs). The successful evolution and emergence of cyberspace with the real world through "Internet of Everything (IoE)" has led to the speedy progress in research and development of predictive analysis of big data. The individual's privacy has gained a considerable momentum in both industry and academia since privacy-enhancing technologies (PETs) constitute a technical means to protect information. Privacy regulations and state of law deemed this as an integral part in order to protect the individual's private sphere when the infrastructure of Information Communication Technologies (ICT) is laid out. Modern organisations use consent forms to gather individual's sensitive personal information for a specific purpose. The law prohibits using the person's information for purposes other than that of when the consent was initially established. The infrastructure of ICT should be developed in alliance with the privacy laws and made compliant as well intelligent which learn by itself from the environment. This extra layer embedded in the system would educate the ICT structure and help system to authenticate as well as communicate with the perspective users. The existing literature on protecting individuals' privacy through privacy-enhancing technologies (PETs) is still embryonic and does conclude that the individual's concerns about privacy are not fully considered in the technological sense. Among other contributions, this research paper will devise a conceptual model to improve individual's privacy.