securing native big data deployments steven c. markey, msis, pmp, cissp, cipp/us, cism, cisa,...

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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, LLC Adjunct Professor

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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

Source: Flickr

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 Big Data

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Source: Cloudera

Source: Wikispaces

Source: Google

Source: Cloudera

Source: Flickr

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

SSO: Good, Bad & Ugly

Source: Microsoft

SSO: Good, Bad & Ugly

Source: OASIS

SSO: Good, Bad & Ugly

Source: OASIS

Source: Apache

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• 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

• Questions?• Contact– Email: [email protected]– Twitter: markes1– LI: http://www.linkedin.com/in/smarkey