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4.1 Security Platforms for Big Data Systems (Security Challenges (Access…
4.1 Security Platforms for Big Data Systems
Big Data Systems Architecture
Data Sources
Data massaging and storage layer
Analysis Layer
Consumption Layer
Integration
Governance
Systems Management
Quality of Service Layer
Big Data Platforms
Data Management
Classification
Discovery
Tagging
Identity and Access Management
Authentication
Authorisation
Role Based Access Control
Data Metering
Data Protection and Privacy
Encryption
De-identification
Loss Prevention
Network Security
Network Zoning
Packet Level Encryption
Infrastructure Security and Integrity
Logging/Audit
User and Activity Monitoring
Security Challenges
Access Control and Authentication
Secure Data Management
Source Validation and Filtering
Application Software Security
Infrastructure Security
External - Targeted intrusion to steal data
External - Ransomeware to deny access or destroy
Internal - Malicious insider to steal
Internal - Malicious insider to destroy
Analytics can be used for
Prevention
Detection
Response
OSS and CSS
Challenges
Selection of OSS
Human factors
Technical challenges
Detecting and eliminating bugs
Obtaining metrics for monitoring
Mitigations
Code Auditing
Penetration Testing
Statistical Analysis Tool
Mitigation Strategies
Application Whitelisting
Patching Applications
Patching Operating Systems
Restricting Administrative Priviledges