Vector (11)

Internet Traffic Path Estimation

To effectively estimate internet traffic paths, we amalgamated diverse data sources, which often vary in format. These sources include open-source data, routing tables, router configuration files, and protocol messages.

Internet traffic path estimation
Internet traffic path estimation
PLATFORMS
PlayFramework / Sangria GraphQL/ OpenLink Virtuoso Graph Database/ RDF reasoning with Jena Ontology API/ React/ D3
DEVELOPMENT MODEL
N/A
TECHNOLOGIES
N/A
TEAM SIZE
5
CUSTOMER
N/A
Clients
N/A
Challenge
A growing number of nations have implemented laws enabling extensive surveillance of network activities within their borders. Consequently, when internet traffic enters these countries, it becomes subject to local regulations and surveillance practices. This situation necessitates that individuals, organizations, including ISPs, and governments be capable of tracing the routes of their data traffic and identifying the countries it passes through. This knowledge is crucial, especially for those wishing to avoid routes through countries known for nation-state mass surveillance, thereby protecting their data from unwarranted scrutiny.
Solutions
  • To effectively estimate internet traffic paths, we amalgamated diverse data sources, which often vary in format
  • These sources include open-source data, routing tables, router configuration files, and protocol messages
  • By integrating this varied data into a knowledge graph database, we create a unified and coherent structure
  • On top of this knowledge graph, we then develop a reasoning engine coupled with a visualization front-end, enabling a more nuanced understanding and representation of internet traffic flow
Features
We develop a reasoning engine coupled with a visualization front-end, enabling a more nuanced understanding and representation of internet traffic flow
Results

Sphinx successfully created an excellent platform that met the needs of both our clients and the users

Internet traffic path estimation

Internet Traffic Path Estimation

To effectively estimate internet traffic paths, we amalgamated diverse data sources, which often vary in format. These sources include open-source data, routing tables, router configuration files, and protocol messages.

PLATFORMS
PlayFramework / Sangria GraphQL/ OpenLink Virtuoso Graph Database/ RDF reasoning with Jena Ontology API/ React/ D3
 
 
DEVELOPMENT MODEL
N/A
TECHNOLOGIES
N/A
 
TEAM SIZE
5
CUSTOMER
N/A
Clients
N/A
 
Challenge
A growing number of nations have implemented laws enabling extensive surveillance of network activities within their borders. Consequently, when internet traffic enters these countries, it becomes subject to local regulations and surveillance practices. This situation necessitates that individuals, organizations, including ISPs, and governments be capable of tracing the routes of their data traffic and identifying the countries it passes through. This knowledge is crucial, especially for those wishing to avoid routes through countries known for nation-state mass surveillance, thereby protecting their data from unwarranted scrutiny.
Solutions
  • To effectively estimate internet traffic paths, we amalgamated diverse data sources, which often vary in format
  • These sources include open-source data, routing tables, router configuration files, and protocol messages
  • By integrating this varied data into a knowledge graph database, we create a unified and coherent structure
  • On top of this knowledge graph, we then develop a reasoning engine coupled with a visualization front-end, enabling a more nuanced understanding and representation of internet traffic flow
Features
We develop a reasoning engine coupled with a visualization front-end, enabling a more nuanced understanding and representation of internet traffic flow
Results
Sphinx successfully created an excellent platform that met the needs of both our clients and the users

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