About Me
CompTIA Security+
1 Threats, Attacks, and Vulnerabilities
1-1 Types of Threats
1-2 Types of Attacks
1-3 Vulnerabilities
1-4 Threat Actors and Motives
1-5 Threat Intelligence
1-6 Incident Response
1-7 Penetration Testing
1-8 Vulnerability Scanning
1-9 Threat Modeling
1-10 Security Controls
2 Technologies and Tools
2-1 Firewalls
2-2 Intrusion Detection Systems (IDS)
2-3 Intrusion Prevention Systems (IPS)
2-4 Security Information and Event Management (SIEM)
2-5 Data Loss Prevention (DLP)
2-6 Security Orchestration, Automation, and Response (SOAR)
2-7 Endpoint Security
2-8 Network Security
2-9 Cloud Security
2-10 Mobile Device Security
2-11 Secure Coding Practices
2-12 Cryptography
2-13 Public Key Infrastructure (PKI)
2-14 Certificate Management
2-15 Security Tools and Utilities
3 Architecture and Design
3-1 Security Models
3-2 Security Controls
3-3 Secure Network Design
3-4 Secure Systems Design
3-5 Secure Application Design
3-6 Secure Cloud Architecture
3-7 Secure Mobile Architecture
3-8 Secure IoT Architecture
3-9 Secure Data Storage
3-10 Secure Backup and Recovery
3-11 Security in DevOps
3-12 Security in Agile Development
3-13 Security in Continuous IntegrationContinuous Deployment (CICD)
3-14 Security in Configuration Management
3-15 Security in Identity and Access Management (IAM)
4 Identity and Access Management
4-1 Authentication Methods
4-2 Authorization Mechanisms
4-3 Identity and Access Management (IAM) Concepts
4-4 Single Sign-On (SSO)
4-5 Multi-Factor Authentication (MFA)
4-6 Federation
4-7 Role-Based Access Control (RBAC)
4-8 Attribute-Based Access Control (ABAC)
4-9 Identity as a Service (IDaaS)
4-10 Identity Lifecycle Management
4-11 Access Reviews and Audits
4-12 Privileged Access Management (PAM)
4-13 Identity Federation
4-14 Identity Provisioning and Deprovisioning
5 Risk Management
5-1 Risk Management Concepts
5-2 Risk Assessment
5-3 Risk Mitigation Strategies
5-4 Business Impact Analysis (BIA)
5-5 Risk Register
5-6 Risk Treatment
5-7 Risk Monitoring and Reporting
5-8 Risk Appetite and Tolerance
5-9 Risk Communication
5-10 Risk Transfer
5-11 Risk Acceptance
5-12 Risk Avoidance
5-13 Risk Reduction
5-14 Risk in Cloud Environments
5-15 Risk in Mobile Environments
5-16 Risk in IoT Environments
6 Cryptography and PKI
6-1 Cryptographic Concepts
6-2 Symmetric Encryption
6-3 Asymmetric Encryption
6-4 Hashing
6-5 Digital Signatures
6-6 Public Key Infrastructure (PKI)
6-7 Certificate Management
6-8 Certificate Authorities (CAs)
6-9 Certificate Revocation
6-10 Key Management
6-11 Cryptographic Protocols
6-12 Cryptographic Attacks
6-13 Quantum Cryptography
6-14 Post-Quantum Cryptography
6-15 Cryptographic Use Cases
7 Security Operations
7-1 Security Operations Concepts
7-2 Security Policies and Procedures
7-3 Security Awareness and Training
7-4 Security Monitoring and Logging
7-5 Incident Response
7-6 Forensics
7-7 Disaster Recovery
7-8 Business Continuity
7-9 Physical Security
7-10 Personnel Security
7-11 Supply Chain Security
7-12 Third-Party Risk Management
7-13 Security Audits and Assessments
7-14 Compliance and Regulatory Requirements
7-15 Security Metrics and Reporting
7-16 Security Operations Center (SOC)
7-17 Security Orchestration, Automation, and Response (SOAR)
7-18 Security in DevOps
7-19 Security in Agile Development
7-20 Security in Continuous IntegrationContinuous Deployment (CICD)
3.9 Secure Data Storage Explained

3.9 Secure Data Storage Explained

Key Concepts

Secure Data Storage involves implementing measures to protect data at rest from unauthorized access, corruption, and loss. Key concepts include encryption, data masking, and secure storage protocols.

Encryption

Encryption is the process of converting data into a format that cannot be easily understood by unauthorized users. It ensures that even if data is intercepted or accessed without permission, it remains unreadable. Common encryption methods include AES (Advanced Encryption Standard) and RSA (Rivest-Shamir-Adleman).

Example: A company encrypts sensitive customer data stored in its database using AES encryption. This ensures that even if the database is compromised, the data remains secure and unreadable to attackers.

Data Masking

Data Masking is a technique used to hide sensitive data from unauthorized users while still allowing it to be used for testing, development, or other non-production purposes. This ensures that sensitive information is not exposed in environments where it is not needed.

Example: A financial institution uses data masking to replace sensitive customer information, such as credit card numbers and social security numbers, with fictitious but realistic data in its test databases. This ensures that developers can test applications without exposing real customer data.

Secure Storage Protocols

Secure Storage Protocols are methods and standards used to ensure the integrity, confidentiality, and availability of data stored in various systems. These protocols include secure file transfer protocols (SFTP), secure copy protocol (SCP), and secure database connections.

Example: A healthcare provider uses SFTP to securely transfer patient records between its data centers. The use of SFTP ensures that the data is encrypted during transmission, protecting it from interception and unauthorized access.

Conclusion

Secure Data Storage is essential for protecting sensitive information from unauthorized access and ensuring data integrity. By implementing encryption, data masking, and secure storage protocols, organizations can safeguard their data at rest, reducing the risk of data breaches and maintaining trust with their stakeholders.

© 2024 Ahmed Baheeg Khorshid. All rights reserved.