2023
DOI: 10.3390/s23146467
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A Real-Time Streaming System for Customized Network Traffic Capture

Abstract: 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 inn… Show more

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Cited by 5 publications
(2 citation statements)
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“…Unlike human analysts who are limited by cognitive capacity and attention span, AI can handle massive datasets in parallel, significantly reducing the time required for analysis [30].  Real-time Analysis: AI systems can perform real-time analysis of streaming data, such as network traffic logs and system event logs, as it is generated [31]. This enables organizations to detect and respond to security threats in real-time, minimizing the impact of potential cyber-attacks.…”
Section: Ai-based Threat Detectionmentioning
confidence: 99%
“…Unlike human analysts who are limited by cognitive capacity and attention span, AI can handle massive datasets in parallel, significantly reducing the time required for analysis [30].  Real-time Analysis: AI systems can perform real-time analysis of streaming data, such as network traffic logs and system event logs, as it is generated [31]. This enables organizations to detect and respond to security threats in real-time, minimizing the impact of potential cyber-attacks.…”
Section: Ai-based Threat Detectionmentioning
confidence: 99%
“…Therefore, Kafka has become widely used as a stream processing tool for real-time data analysis [15]. Kafka has several advantages, including real-time processing, strong scalability, low delay, and high flexibility [16].…”
Section: Introductionmentioning
confidence: 99%