DIY Metadata Investigation : Inside Hacking Team
| Description | In our step by step metadata investigation, we will explore hundreds of thousands of emails from the Hacking Team leak database. We will analyse the metadata of those emails and get a deeper insight into the invisible network of government agencies, cyber weapon dealers, and manufacturers and their investors. |
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| Website(s) | http://labs.rs/en/metadata/ |
| Type | Workshop |
| Kids session | No |
| Keyword(s) | inside |
| Tags | metadata, surveillance, DIY |
| Processing assembly | Anarchist Village |
| Person organizing | Joler |
| Language | en - English |
| Other sessions... | |
| Starts at | 2015/12/28 14:00 |
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| Ends at | 2015/12/28 14:45 |
| Duration | 45 minutes |
| Location | Anarchist Village |
In our step by step metadata investigation, we will explore hundreds of thousands of emails from the Hacking Team leak database. We will analyse the metadata of those emails and get a deeper insight into the invisible network of government agencies, cyber weapon dealers, and manufacturers and their investors. We will visualise and explore :
- The internal organisational structure - Communication flows within organisation; - A map of main partner organisations, dealers, clients and individuals; - The behavioral patterns of the main actors within the organisation and anomalies thereof; - Their movement around globe; - The technology that they use.
We are using similar methods as various intelligence and security agencies around globe for citizens’ metadata analysis. We believe that us being a watchdogs of a sort should imply that we use the same methods to surveill them back, pinpoint their wrongdoings, corruption and understand how their invisible network works and tell the World what we have learned.
The general idea is to conceptualise a methodology that will help investigative journalists explore vast amounts of metadata and spot the main points of interest for their future investigations using available free and open software for investigation, data analysis, network topology, data visualization and design.