With the global digitalization of information, the spate of personal data protection cases had disturbed not only Malaysian but netizens over the world. People's awareness and perceptions towards personal data protection had exacerbated the problem of personal data protection. A group of 126 students from the Bachelor of Information Technology program was surveyed on their awareness and perceptions towards the personal data protection. The survey result concluded that the students' perceptions towards personal data protection are conspicuously low but their awareness of the needs to protect their personal data is ostensibly acceptable. The survey results also hint that awareness is not equivalent to understand. Apart from this, the author concludes that the students' sensitivity of personal privacy and personal data protection had paralyzed. Habitually providing personal information through online forms had hypnotized the students' sensitivity of protecting their personal data and privacy. The formulation of Malaysia Personal Data Protection Act 2010 set a general guide line to all data practitioners but the author notice that Malaysia needs a tailor made framework that guide the collection and processing of digital information based on the country's perspectives. Besides, this framework also serves as the tools to educate and mold the netizens' sensitivity towards personal data protection.

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Internet of things (IoT) is intensely gaining popularity in the healthcare industry. Though these systems are ubiquitous, pervasive and seamless, an issue concerning consumers' privacy remains debatable. There is an immaculate rise in terms of awareness amongst patients where data privacy is concerned. IoT-based health applications are more prone to privacy risks, and hence general privacy guidelines for health applications, in general, are not adequate. Often, privacy is oversighted, causing consumers to lose interest from using an application continuously. In this paper, we propose a compliance scale modelling the privacy principles for privacy-aware novel IoT-based health applications. We have conducted an analytical review of privacy guidelines to derive at the essential principles required to develop and measure privacy-aware IoT health applications after discarding irrelevant principles, extracting repeating core principles, and merging relevant principles. A quantitative survey was deployed to empirically evaluate the proposed scale to finalize the principles based on their significance. The proposed compliance scale presents essential privacy principles to adhere in the development of novel IoT health applications. The proposed compliance scale would be significant for policymakers and applications developers to measure, better understand and respect the privacy principles of consumers towards novel IoT-based health applications.

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