A Real-Time Streaming System for Customized Network Traffic Capture

Logging network traffic offers valuable insights into data flow, enabling the proactive analysis and troubleshooting of issues as they arise. Moreover, it provides a means to access and examine the exchanged information among network users that would otherwise be inaccessible. To enhance network traffic analysis, the integration of innovative technologies that facilitate real-time querying and pattern matching proves indispensable. This research paper presents a system that exemplifies such advancements-an innovative network traffic logging tool. The tool specifically focuses on performing real-time network packet transfer to Apache Kafka and ksqlDB, leveraging their capabilities to ensure swift and dependable storage of network packets in Apache Kafka topics. By showcasing this solution, the paper demonstrates the benefits and effectiveness of employing modern technologies for network traffic analysis and management.

Automated summary

Logging network traffic enables proactive analysis and troubleshooting, providing access to and examination of exchanged information. Innovative technologies like real-time querying and pattern matching integration are crucial for enhancing network traffic analysis. This research introduces an innovative network traffic logging tool that focuses on real-time packet transfer to Apache Kafka and ksqlDB, ensuring swift and reliable storage. By showcasing this solution, the paper demonstrates the benefits of utilizing modern technologies for network traffic analysis and management.