Data privacy, alsocalled information
privacy, is the aspect of information
technology (IT) that deals with the abilitiy
an organization or individual has to
determine what data in a computer
system can be shared with third parties.
Constitutional privacy, oftenreferred to as
decisional privacy, pertains to the freedom to make
personal decisions without interference.
Informational privacy, on the other hand, focuses
on the control over access to personal information.
1.1 Constitutional vs. Informational Privacy
6.
Privacy is valuedfor various reasons, including its
role in protecting individual autonomy, fostering
personal relationships, and maintaining social
boundaries.
1.2 Accounts of the Value of Privacy
1.3 Personal Data
Personal data refers to any information that can
identify an individual, such as names, addresses, and
online identifiers.
7.
Protecting personal datais a moral imperative to
respect individuals’ autonomy and dignity.
Unauthorized access or misuse of personal data can
lead to harm, including identity theft, discrimination,
and loss of privacy.
1.4 Moral Reasons for Protecting Personal Data
8.
Laws and regulationsplay a critical role in
protecting privacy by setting standards for data
collection, storage, and sharing. Indirect control
mechanisms, such as encryption and access controls,
also help safeguard personal information.
1.5 Law, Regulation, and Indirect Control Over
Access
Advancements in informationtechnology have
significantly impacted privacy. Innovations such as
cloud computing, artificial intelligence, and
blockchain technology have transformed how data is
collected, stored, and processed.
2.1 Developments in Information Technology
11.
The internet hasrevolutionized communication
and information sharing but has also raised
significant privacy concerns. Online activities generate
vast amounts of data, which can be tracked, analyzed,
and potentially misused.
2.2 Internet
12.
Social media platformshave become central to
social interaction but pose substantial privacy risks.
2.3 Social Media
2.4 Big Data
Big data analytics involves processing large datasets to
uncover patterns and insights. While it offers numerous
benefits, it also raises privacy concerns, as it often involves
the collection and analysis of personal information without
explicit consent.
13.
Mobile devices, suchas smartphones and tablets,
are ubiquitous and collect a wide range of personal
data, including location, contacts, and browsing
history. This data can be exploited if not adequately
protected.
2.5 Mobile Devices
14.
The Internet ofThings (IoT) connects everyday
objects to the internet, enabling data exchange. While
(IoT) devices offer convenience, they also pose privacy
risks due to the continuous collection and
transmission of personal data.
2.6 The Internet of Things
15.
E-Government initiatives aimto improve public
services through digital means. However, they also
involve the collection of personal data, raising
concerns about data security and privacy.
2.7 E-Government
16.
Surveillance technologies, suchas CCTV cameras
and facial recognition systems, are increasingly used
for security purposes.
2.8 Surveillance
Privacy by designis an approach that integrates
privacy into the development process of technologies
and systems.
3.1 Design Methods
3.2 Privacy Enhancing Technologies
Privacy enhancing technologies (PETs) are tools
and techniques designed to protect personal data.
19.
Cryptography is afundamental tool for protecting data
privacy. It involves encoding information so that only
authorized parties can access it.
3.3 Cryptography
3.4 Identity Management
Identity management systems help control access
to personal data by verifying the identity of users.
Emerging technologies, suchas artificial
intelligence, blockchain, and quantum computing, are
reshaping our understanding of privacy. These
technologies offer new ways to protect personal data
but also introduce new challenges and risks that need
to be addressed.