Blockchain

Blockchain is a user interface technology that is founded based on mathematical concepts and information technology principles such as stochastic and network structures that allows distribution of digital and data asset to permitted users while at the same time retaining it encrypted. It is an encrypted decentralized database that distributes digital content rather than copying it. Moriggl et al. (2021) used the concept of the Hyperledger system in developing a morphological box for security in enterprise applications. The selected configuration is referred to as Hyperledger sawtooth.  

Q1. What is your overall evaluation of the morphological box as a 'data privacy assessment tool' for the blockchain configuration Hyperledger Sawtooth?      

The morphological box tool configuration is a secure way to ensure data privacy through a series of data encryption processes in the sawtooth configuration. The tool identifies the technical capabilities of the Hyperledger sawtooth database and secures data privacy at systematic grid levels (Moriggl et al., 2021). The morphological box and the grid assessment exploit the configuration of the blockchain through an open-source approach in evaluating its working course. To begin with, the morphological box uses blockchain configuration setups, which include transactions, blocks, roles, algorithms, validation processes, and cryptography (Moriggl et al., 2021). Since there is a decentralized distribution of data, the morphological box setup allows access to the blockchain participants to access unidentical digital data through three tools: transfer, sore, and use (Moriggl et al., 2021). Second, it uses the data privacy configuration to ensure that data transfer and accessibility, and manipulation is safe through critical controls such as the logical essential access controls. The morphological box also evaluates users of the blockchain by ensuring that each of them has more than one system component to access the tasks of either data storage or transfer, making it trustworthy. Finally, it can be configured to allow third-party software to facilitate change in the blockchain (Moriggl et al., 2021).

Q2. How promising the everyday use of blockchain technology is and will be?

  Blockchain technology is auspicious in today's world and will be profitable soon (Grover et al., 2019). This is because advanced research on modifying security in blockchain databases using robotic ledger encryption is currently underway across many tech companies, which will provide data security and control to databases containing salary data, medical information, social media data, and bank statements (Grover et al., 2019). Blockchain technology also promises the use of artificial intelligence to obtain publicly available information without violating the security encryption of the blockchain database where the information has been sourced. For example, companies that develop electronic vehicles with autopilot control systems need to know how often car accidents can occur (Grover et al., 2019). To achieve this, they need data on peoples' driving habits. They can obtain patterns of this crucial information by using artificial intelligence on blockchain databases without accessing prohibited private data. Blockchain databases also provide security to diverse mobile applications. For example, the social media platform TIKTOK uses blockchain technology to grant more control of the user's digital identity, thus ensuring they are protected while still sharing their content online (Grover et al., 2019).

Q3. Which one of the methods to achieve an acceptable level of protection of personal data is better, in your opinion, which could be auditable? Why?

Data encryption is the safest method to achieve an acceptable level of personal data protection (Moriggl et al., 2021). Data encryption has been modified from complex mathematical structures such as cryptography and gaming theory to simple open-source PGP standards in information technology used to ensure database and file protection (Guo et al., 2021). The blockchain system heavily requires a foundation in data encryption for configuration, making it reliable in personal data security (Guo et al., 2021). Data encryption also ensures the masking of an individual's identity in data sharing platforms and limits the accessibility of individuals to authorized data. Data encryption also allows blockchain to safely decentralize digital resources without fear of malware attacks and piracy (Moriggl et al., 2021).

Blockchain configuration has a number of limitations that pave the way for more research to be conducted to improve on it. For example, blockchain configurations are only suitable for open-source platform configurations (Moriggl et al., 2021). For closed configuration, this system may not be beneficial due to privacy issues. Blockchain configurations also deeply rely on systematic algorithms for proper data encryption; hence another nonalgorithmic encryption could be rejected to the configuration (Moriggl et al., 2021). To address these issues, future research could focus on breaking down systematic security protocols and reprogram in diverse security frameworks.