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Securing Native Big Data Deployments
Steven C. Markey, MSIS, PMP, CISSP, CIPP/US , CISM, CISA, STS-EV, CCSK, Cloud +
Principal, nControl, LLCAdjunct Professor
• Presentation Overview– Why Should You Care?– Big Data Overview– Securing Native Big Data Deployments
Securing Big Data
• Why Should You Care– Organizational Cost Reduction Requirements• Justify Investments• Improve Efficiencies (Productivity, Time to Market)
– Digital Information – 60%~ Annual Growth Rate (AGR)– Data Storage – 15-20% AGR Capital Expense (CapEx)– Categorization, Classification & Retention Magnify• Compliance, Legal & Privacy Regulations
– Prevalent & Interconnected Business Ecosystems• Supply Chains• Business Process Outsourcers (BPO)• Information Technology Outsourcers (ITO)• Vendor’s Vendors
Source: IDC
Securing Big Data
Securing Big Data
• Big Data Overview– Aggregated Data from the Following Sources• Traditional• Sensory• Social
Securing Big Data• Traditional Data– Database Management Systems• Relational Database Management Systems (RDBMS)• Object-Oriented Database Management Systems (OODBMS)• Non-Relational, Distributed DB Management Systems (NRDBMS)• Mobile Databases (SQLite, Oracle Lite)
– Online Transaction Processing (OLTP)• Real-Time Data Warehousing
– Online Analytical Processing (OLAP)• Operational Data Stores (ODS)• Enterprise Data Warehouses (EDW)
Securing Big Data• Traditional Data– OLAP• Business Intelligence (BI)
– Data Mining– Reporting– OLAP (Continued)
» Relational OLAP (ROLAP)» Multi-Dimensional OLAP (MOLAP)» Hybrid OLAP (HOLAP)
OLTPODSEDW (Data Marts)BI (Data Mining)OLTPODSEDW (Data Marts)BI (Reporting)OLTPODSEDW (Data Marts)BI (OLAP)
Securing Big Data• Source Data– Log Files
• Event Logs / Operating System (OS) - Level• Appliance / Peripherals• Analyzers / Sniffers
– Multimedia• Image Logs• Video Logs
– Web Content Management (WCM)• Web Logs• Search Engine Optimization (SEO)
– Web Metadata
OpenStack
User Interface (Horizon)
Object Store (Swift)
Image Store (Glance)
Compute (Nova) Block Storage (Cinder)
Network Services (Neutron)
Key Service (Barbican)
Trusted Compute Pools
(Extended with Geo Tagging)
OVF Meta-Data Import
Intel® DPDK vSwitch
Enhanced Platform AwarenessErasure
Code
Expose Enhancements
Filter Scheduler
Monitoring/Metering (Ceilometer)
Object Storage Policy
Key Encryption & Management
Advanced Services in VMsIntelligent Workload Scheduling
Metrics
10
VPN-as-a-Service (with Intel® QuickAssist Technology)
Web Messaging (Zaqar)
Messaging (Oslo)
Securing Big Data
• Big Data Overview– Aggregators• Mostly NRDBMS Implemtations
– Not only – Structured Query Language (NoSQL)
• NRDBMS Examples– Column Family Stores: BigTable (Google), Cassandra & HBase (Apache)– Key-Values Stores: App Engine DataStore (Google) & DynamoDB– Document Databases: CouchDB, MongoDB– Graph Databases: Neo4J
Securing Big Data• Big Data Overview– Serial Processing
• Hadoop– Hadoop Distributed File System (HDFS)– Hive – DW– Pig – Querying Language
• Riak
– Parallel Processing• HadoopDB
– Analytics• Google MapReduce• Apache MapReduce• Splunk (for Security Information / Event Management [SIEM])
Securing Big Data• Securing Cloud-Based NRDBMS Solutions– General
• Focus on Application / Middleware-Level Security– Single Sign-on (SSO)– SQL Injections Are Still Possible– Leverage Application IAM for NRDBMS User Rights Mgmt (URM)– Leverage Application & System Logging for Accounting
• Segregation of Duties– Read / Write Namespaces– Read-Only Namespaces
– Specific• Cryptography & Obfuscation
– Homomorphic Encryption– Stateless Tokenization
• SSO Standards & Categories:– Network: LDAP, Kerberos, RADIUS, RDBMS–e.g., OpenLDAP, AD, Tivoli Access Manager
– Federated: SAML, OpenID, OAuth, WS-Federated, XACML–e.g., Keycloak, PingFederate, ADFS, RSA Federated
SSO: Good, Bad & Ugly
• Presentation Take-Aways– Big Data is Here to Stay– It Has to be Secure–Segregation of Data–Access Controls–Separation / Segregation of Duties–Federated Identities–Logging
–Crypto v2.0–Homomorphic Encryption–Stateless Tokenization
Securing Big Data
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