Abstract
Information and data privacy is a critical issue in modern society to protect the privacy of individuals and institutions, ensure their security, and prevent the misuse of their information. Rapidly developing technology has posed new challenges in ensuring information and data privacy. Technological developments such as big data, artificial intelligence, cloud computing and the internet of things require innovative solutions to protect information and data privacy. Today, with the acceleration of the digitizing world, individuals' and institutions' concerns about information and data privacy are increasing. By addressing information and data privacy through policies, threats and solutions, this study aims to examine new protection-oriented frameworks, policies, and best practices. Aiming to examine coping strategies with technological developments by emphasizing the importance of information and data privacy, this study is original in terms of presenting innovative policies and practices, guiding readers, and providing solutions to current challenges in this field.
TopData consists of raw, unprocessed facts. It is made up of certain symbols such as numbers, texts, images. Data that does not make sense on its own becomes meaningful information when processed and interpreted (Chopra & Chaudhary, 2020). Data are information assets that are vital for institutions. But at the same time, they are targets open to unauthorized access and misuse. Therefore, data security is one of the most basic elements in information systems (Kim & Solomon, 2018).
Information, on the other hand, is the meaningful state of data resulting from the processing of data. Information consists of the relevant group of data that enables decision making. In other words, information elucidates the data. Information plays a critical role for people to make decisions, solve problems and achieve their goals (Zins, 2007). However, misuse of information also poses significant risks. Therefore, the security and privacy of information is very important.
Key Terms in this Chapter
Risk: It is the impact and likelihood of damage that may arise as a result of threats.
Cloud Computing: It is a distributed computing infrastructure where computing resources are offered as a service via the Internet.
Cybersecurity: The practice of protecting computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks.
Social engineering: It refers to attempts to gain unauthorized access to information and data by exploiting human psychology.
Information and Data Privacy: Policies and procedures aimed at preventing unauthorized individuals from accessing, disclosing or modifying information and data.
Threat: Any risk factor directed at information security.
Internet of Things: It is the network where physical objects connect to each other and systems over the Internet.
Information Security: It is the whole of principles, policies and procedures that ensure the protection of information assets in terms of confidentiality, integrity and availability.
Policy: It is the whole of rules, standards and guiding principles established to ensure information security.
Artificial Intelligence: Machine learning-based systems capable of performing cognitive functions specific to human intelligence.
Big Data: It is the whole of technologies that require the processing of high-volume, high-velocity and high-variety data sets.
Procedure: Step-by-step instructions prepared to implement policies.