Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data

Front Cover
Information Security Analytics: Finding Security Insights, Patterns, and Anomalies in Big Data
Copyright
Dedication
Contents
Foreword
About the Authors
Acknowledgments
Chapter 1 - Analytics Defined
	INTRODUCTION TO SECURITY ANALYTICS
	CONCEPTS AND TECHNIQUES IN ANALYTICS
	DATA FOR SECURITY ANALYTICS
	ANALYTICS IN EVERYDAY LIFE
	SECURITY ANALYTICS PROCESS
	REFERENCES
Chapter 2 - Primer on Analytical Software and Tools
	STATISTICAL PROGRAMMING
	INTRODUCTION TO DATABASES AND BIG DATA TECHNIQUES
	REFERENCES
Chapter 3 - Analytics and Incident Response
	INTRODUCTION
	SCENARIOS AND CHALLENGES IN INTRUSIONS AND INCIDENT IDENTIFICATION
	ANALYSIS OF LOG FILES
	LOADING THE DATA
	ANOTHER POTENTIAL ANALYTICAL DATA SET: UNSTACKED STATUS CODES
	OTHER APPLICABLE SECURITY AREAS AND SCENARIOS
	SUMMARY
	FURTHER READING
Chapter 4 - Simulations and Security Processes
	SIMULATION
	CASE STUDY
Chapter 5 - Access Analytics
	INTRODUCTION
	TECHNOLOGY PRIMER
	SCENARIO, ANALYSIS, AND TECHNIQUES
	CASE STUDY
	ANALYZING THE RESULTS
Chapter 6 - Security and Text Mining
	SCENARIOS AND CHALLENGES IN SECURITY ANALYTICS WITH TEXT MINING
	USE OF TEXT MINING TECHNIQUES TO ANALYZE AND FIND PATTERNS IN UNSTRUCTURED DATA
	STEP BY STEP TEXT MINING EXAMPLE IN R
	OTHER APPLICABLE SECURITY AREAS AND SCENARIOS
Chapter 7 - Security Intelligence and Next Steps
	OVERVIEW
	SECURITY INTELLIGENCE
	SECURITY BREACHES
	PRACTICAL APPLICATION
	CONCLUDING REMARKS
Index