Privacy concerns in computer science are paramount as digital technologies advance. Protecting personal data from cybercrimes like identity theft and unauthorized access is crucial. The text delves into encryption, Privacy-By-Design, internet privacy, data privacy laws, big data challenges, AI privacy dilemmas, and lessons from past incidents. It emphasizes the need for secure, ethical handling of personal information and the integration of technological, legal, and social perspectives.
Show More
Protecting personal and sensitive data from being accessed without permission
Identity Theft
The act of stealing someone's personal information for malicious purposes
Phishing
A cybercrime where individuals are tricked into giving away personal information
Unauthorized System Intrusions
Gaining access to a computer system without permission
The increasing risk of privacy breaches due to the integration of digital technologies in our daily lives
Using mathematical algorithms to protect data from being accessed by unauthorized parties
Implementing barriers to prevent unauthorized access to computer systems
Embedding privacy safeguards in the early stages of technology development
Being open and honest about the collection and use of personal data
Obtaining permission from individuals before collecting and using their personal data
Allowing individuals to have control over their personal data and how it is used
Managing the exposure of personal information online
Protecting personal data from unauthorized acquisition, misuse, or exposure
The use of large datasets containing personal information, posing a risk of privacy breaches
The use of personal data in AI systems, leading to privacy concerns and potential biases
00
Privacy Protection Measures
Implementing security protocols, ethical data management to safeguard personal data from misuse.
01
Impact of Digital Technologies on Privacy
Increased risk of personal data exposure due to widespread internet and social media use.
02
Consequences of Privacy Breaches
Unauthorized access and data exploitation can lead to identity theft, financial loss, reputation damage.
