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Computer Science
Data Science
Data Privacy
1. Introduction to Data Privacy
2. Foundational Principles of Data Privacy
3. Legal and Regulatory Frameworks
4. Technical Mechanisms for Privacy Protection
5. Data Privacy Governance and Management
6. Data Privacy in Data Science and Machine Learning
7. Emerging Topics and Future Challenges
Technical Mechanisms for Privacy Protection
Data Anonymization and Pseudonymization
De-identification Techniques
Removal of Direct Identifiers
Name Removal
Address Removal
Contact Information Removal
Unique Identifiers Removal
Generalization and Suppression
Data Generalization Methods
Suppression Techniques
Utility Preservation
Hashing and Salting
Hash Functions
Cryptographic Hash Functions
Hash Function Properties
Common Hash Algorithms
Use of Salts
Salt Generation
Salt Storage
Rainbow Table Prevention
Tokenization
Token Generation
Random Token Generation
Format-Preserving Tokenization
Deterministic Tokenization
Token Mapping and Storage
Token Vault Architecture
Mapping Database Security
Token Lifecycle Management
Masking and Obfuscation
Data Masking Methods
Static Data Masking
Dynamic Data Masking
Format-Preserving Masking
Use Cases for Obfuscation
Development and Testing
Analytics and Reporting
Third-Party Sharing
Statistical Disclosure Control
K-Anonymity
Definition and Application
Equivalence Classes
Quasi-Identifier Sets
Anonymity Guarantees
Implementation Methods
Generalization Techniques
Suppression Techniques
Microaggregation
Limitations
Homogeneity Attack
Background Knowledge Attack
Utility Loss
L-Diversity
Concept and Motivation
Enhancing K-Anonymity
Sensitive Attribute Diversity
Entropy L-Diversity
Recursive L-Diversity
Implementation Challenges
T-Closeness
Addressing Attribute Disclosure
Distance Measures
Implementation Complexity
Other Privacy Models
Delta-Presence
Beta-Likeness
Personalized Privacy
Differential Privacy
Core Concepts
Privacy Guarantees
Epsilon-Differential Privacy
Privacy Loss Bounds
Composition Theorems
Mathematical Foundations
Probability Distributions
Privacy Definitions
Utility Measures
Noise Addition Mechanisms
Laplace Mechanism
Laplace Distribution
Sensitivity Calculation
Privacy Parameter Selection
Gaussian Mechanism
Gaussian Distribution
Advanced Composition
Concentrated Differential Privacy
Exponential Mechanism
Quality Functions
Discrete Outputs
Selection Procedures
Local vs. Global Differential Privacy
Centralized Approaches
Trusted Curator Model
Global Privacy Guarantees
Utility Optimization
Decentralized Approaches
Local Privacy Model
Individual Privacy Control
Communication Efficiency
Privacy Budget
Definition and Management
Budget Allocation
Budget Tracking
Budget Depletion
Composition Analysis
Sequential Composition
Parallel Composition
Advanced Composition
Cryptography and Encryption
Symmetric Encryption
Algorithms and Use Cases
AES Encryption
Block Cipher Modes
Stream Ciphers
Key Management
Key Generation
Key Distribution
Key Rotation
Asymmetric Encryption
Public Key Cryptography
RSA Algorithm
Elliptic Curve Cryptography
Key Pair Generation
Public Key Infrastructure
Certificate Authorities
Digital Certificates
Trust Models
Encryption at Rest
Disk and File Encryption
Full Disk Encryption
File-Level Encryption
Database Encryption
Key Management Systems
Hardware Security Modules
Key Escrow
Key Recovery
Encryption in Transit
TLS/SSL
Protocol Versions
Cipher Suites
Certificate Validation
Secure Protocols
HTTPS Implementation
VPN Technologies
Secure Email
End-to-End Encryption
Messaging Applications
Signal Protocol
WhatsApp Implementation
Key Exchange Mechanisms
Email Encryption
PGP/GPG
S/MIME
Key Distribution
Homomorphic Encryption
Encrypted Computation
Partially Homomorphic Schemes
Somewhat Homomorphic Schemes
Fully Homomorphic Schemes
Limitations and Use Cases
Performance Considerations
Practical Applications
Implementation Challenges
Zero-Knowledge Proofs
Concept and Applications
zk-SNARKs
zk-STARKs
Access Control Mechanisms
Role-Based Access Control (RBAC)
Roles and Permissions
Role Definition
Permission Assignment
Role Hierarchies
Implementation Strategies
Role Engineering
Role Mining
Role Administration
Attribute-Based Access Control (ABAC)
Policy Definition
Attribute Categories
Policy Languages
Decision Engines
Dynamic Access Control
Context-Aware Decisions
Real-Time Evaluation
Policy Updates
Discretionary Access Control (DAC)
User-Defined Permissions
Owner-Based Control
Permission Delegation
Access Control Lists
Mandatory Access Control (MAC)
System-Enforced Policies
Security Labels
Clearance Levels
Information Flow Control
Multi-Factor Authentication
Authentication Factors
Implementation Methods
Risk-Based Authentication
Secure Data Storage and Deletion
Secure Data Architectures
Segmentation and Isolation
Network Segmentation
Data Compartmentalization
Privilege Separation
Redundancy and Backup
Backup Strategies
Disaster Recovery
Geographic Distribution
Data Erasure and Sanitization
Overwriting
Single-Pass Overwriting
Multi-Pass Overwriting
Random Data Patterns
Degaussing
Magnetic Media Degaussing
Degausser Types
Verification Procedures
Physical Destruction
Shredding Methods
Incineration
Pulverization
Cryptographic Shredding
Key Destruction
Secure Key Deletion
Key Escrow Considerations
Verification Methods
Implementation Challenges
Key Distribution
Backup Considerations
Recovery Implications
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3. Legal and Regulatory Frameworks
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5. Data Privacy Governance and Management