Kafka and KSQL to help with detect...
summary
Demonstrates using Apache Kafka to ingest large volumes of network frame data and KSQL to run SQL-inspired continuous queries on those streams. Shows concrete uses such as data enrichment, change-data-capture, real-time monitoring and fraud/intrusion detection by querying the Kafka streams to identify network intrusion attempts.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 2:49What is KSQL
- 8:53Intrusion detection tools
- 15:39Streams and tables in KSQL
- 27:50Streams vs tables
- 30:00Time windows in KSQL
- 33:13Port scan detection
- 38:16DoS attack detection
- 41:35Possible improvements
- 43:41Conclusion and use cases
related talks
16mAnalysing Real time Activity Streams for Security
51mReal-time Fraud Detection: Challenges and Solutions
41mKafka Security - A brief overview of its history ... #bbuzz
43mAttacking (and Defending) Apache Kafka
18mBuilding a Scalable, Resilient System for Real-Time Fraud Detection
45mDeep Dive into Data Streaming Security
25mThe Importance Of Real time Data In Fighting Cyber Attacks
13mBuilding Financial Fortresses: Real-Time Fraud Detection
