Dec 16, 2023 · In this paper, we present our work on the forensic investigation of Apache Kafka. We use methodologies of reverse engineering to infer the data ...
Dec 9, 2023 · In this paper, we present our work on the forensic investigation of Apache Kafka. We use methodologies of reverse engineering to infer the data formats that ...
Sep 10, 2021 · The drawback of using Kafka for forensics is the huge volume of historical data and its related high cost and scalability issues. This gets ...
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Bhathal, G., Singh, A.: Big Data: Hadoop ... Big data forensics: hadoop distributed file systems as a case study. ... data-apache-kafka/; Confluent Inc., Blog.
Aug 26, 2021 · This blog series explores use cases and architectures for Kafka in the cybersecurity space, including situational awareness, threat intelligence, forensics, ...
Abstract. The TARZAN platform is an integrated platform for analysis of digital data from security incidents. The platform serves primarily as a middleware.
Aug 15, 2022 · Apache Kafka is an excellent example of a message-driven, reactive system. It is designed to handle large volumes of data with low latency and high throughput.
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Jul 2, 2021 · This blog series explores use cases and architectures for Kafka in the cybersecurity space, including situational awareness, threat intelligence, forensics.
This paper examines how Apache Kafka can facilitate enterprise data stream processing, alerting, and reporting in a seamless and effortless manner.
Apr 3, 2023 · It is a data stream processing platform based on the Apache. Flink Big Data framework, Apache Kafka for event processing, and. Neo4J for data ...