Data transmission

Data transmission

Data transmission involves two important processes that are critical to the credibility of the data. The first phase is raw data capturing, which can be done manually through keying-in or by an automated procedure using a digital device. Manual entries or digital approach is prone to errors. IoT methods include barcodes, magnetic stripes, OCR, ICR, QR codes, and OMR (Carnaz & Nogueira, 2019).

Storage

IoT facilitated a big data approach for personal and institutional data management. Big data has been a significant area of concern due to its vulnerability to cybercrime and data capturing errors associated with the technology. Also, the issue of data security and privacy has been widely argued for and against by different stakeholders (Carnaz & Nogueira, 2019). The objective of the project is to collect secondary and primary data to evaluate the significance of IoT and Cloud Security issues to the credibility and quality of healthcare data (Analytic Exchange Program, 2019).

Duplication and Account Accounting

The issue of security checks like passwords and account access protocols on hardware can and facilitate duplication (JCCCVideo, 2016). Hacking accounts, according to the Microsoft report, was the main crime that perpetrators tried. Accessing user account act as a gateway for criminals to initiate control over-time and a pathway to host the primary system. Accessibility, passwords metrics, and monitoring access strategy is a significance, because of duplication capabilities..

Data Accuracy, Transparency, and Privacy

As stated on data transmission methods, an error can occur, compromising the content. Equally, information can be altered without the owner’s knowledge or institutional awareness. Such cases have been reported where the medical provider used the client’s details to request tax commissions. Based on reported cases, 96% of clients in the U.S have ever encountered the problem hacking problem or unauthorized use of their medical covers. Laws and regulations on use usually protect medical data. However, people with ill motive abuse privileges compromising assurance of privacy and intended use. The trend raises concerns over transparency and use of the data by the institution or by hackers when logins are compromised (Analytic Exchange Program, 2019).

As technology advance, it introduces new types of crime, or transform strategies of executing old ones in IoT facilitated way. Hackers are known to focus on the following areas, accounts Logins, PHI, credit card, proprietary data, medical devices, and social security numbers. According to the Microsoft report of 2019 on the cloud, hacking attempts frequency has highly increased. Those using real-time monitoring gadgets and big data tech have no assurance of privacy given the observed trend (Center for Connected Medicine, 2018).