NTA Database: Curated Research on Network Traffic Analysis

The NTA Database is a curated collection of information from academic research in network traffic analysis. It contains data extracted from related papers published in journals and conferences over recent years, stored in JSON files. This collection facilitates meta-analysis and tracking of trends within the network traffic analysis research field.

Use Cases

• Conducting literature reviews based on curated paper metadata
• Analyzing research trends in network traffic analysis from extracted data
• Identifying key authors and institutions in the NTA field from the collected information
• Building citation networks or knowledge graphs from the structured paper data

Strengths

• Curated by an author from a recognized institution (TU Wien)
• Explicitly focuses on recent years of research, suggesting relevance
• Data is stored in a structured format (JSON files) for programmatic access

Limitations

• Critical metadata is missing: unknown row count, file size, column names, and specific last update date
• The description is repeated verbatim across sources, indicating potential lack of detailed documentation
• The specific time range for 'the last years' is not defined, making temporal scope unclear

Provenance

Source

Daniel C. Ferreira, TU Wien

Collection Method

Curated from papers in journals and conferences, with data extracted and stored in JSON files

Time Range

Recent years (specific range not defined)