Security Challenges and Solutions in Integrating Cassandra with Kafka

EasyChair Preprint 13852

Abstract

The integration of Apache Cassandra, a highly scalable NoSQL database, with Apache Kafka, a distributed event streaming platform, offers a powerful architecture for real-time data processing and analytics. However, this integration introduces several security challenges that must be addressed to ensure the confidentiality, integrity, and availability of data. This research explores the primary security challenges encountered when integrating Cassandra with Kafka, including data encryption, authentication, authorization, and secure data transmission. Furthermore, it presents comprehensive solutions and best practices to mitigate these security risks. Key solutions discussed include the implementation of TLS for encrypted communication, Kerberos for robust authentication, role-based access control (RBAC) for fine-grained authorization, and continuous monitoring for anomaly detection. By addressing these security challenges, organizations can leverage the combined strengths of Cassandra and Kafka while maintaining a secure data environment.

Keyphrases: Apache Cassandra, Apache Kafka, Authentication, Authorization, Data Security, Encryption, Event Streaming, NoSQL, Secure Data Transmission, real-time data processing

@booklet{EasyChair:13852,
  author    = {Adeoye Ibrahim},
  title     = {Security Challenges and Solutions in Integrating Cassandra with Kafka},
  howpublished = {EasyChair Preprint 13852},
  year      = {EasyChair, 2024}}