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MIS5208.docx
MIS 5208
Ed Ferrara, MSIA, CISSP
eferrara@
Week 9: Big Data Splunk
Agenda
Chapter 1 Introduction / Splunk Big Data
What is Big Data?
Alternate Data Processing Techniques
Machine Data
What is Splunk?
Chapter 2
Variety of Data
Dealing with Data
File Directories
What is Big Data? The Three Vs
Big Data are:
High volume
High velocity
High variety
Information assets that require new forms of processing to enable:
Enhanced decision making
Insight discovery
Process optimization
Volume – Data measured in petabytes
Highway sensors
Data processing logs
Amazon purchase data
Velocity – Speed of data generation and frequency of delivery
Variety – Difference in the number of data types
BIG DATA
Facebook had more than 1B users with more than 618M active on a daily basis
LinkedIn had more than 200M members – with the service adding 2 new members every second
Instagram members upload 40M photos per day
Twitter has 500M users – with the service adding 150K per day
Wordpress has more than 40M new posts per day
Pandora music streaming service has more than 13,700 years of music
Etc.
Splunk and the Kill Chain
There are four classes of data that security teams need to leverage for a complete view:
log data
binary data (flow and PCAP)
threat intelligence data
and contextual data.
If any of these data types are missing, there’s a higher risk that an attack will go unnoticed.
These data types are the building blocks for knowing what’s normal and what’s not in your environment.
This single question lies at the intersection of both system availability (IT operations and application) and security use cases.
Splunk and the Kill Chain
Effective data-driven security decisions require:
Tens of terabytes of data per day without normalization
Access data anywhere in the environment, including:
Traditional security data sources
Personnel time management systems
HR databases
Industrial control systems
Hadoop data stores and custom enterprise applications that run the business
Delivers fast tim
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