“Big picture” platforms boost fight against online terror activity

mso-bidi-font-family:"Times New Roman"”>Online fundraising for terrorism has shifted in recent years onto the dark web, where cryptocurrencies such as Bitcoin, Ethereum and others are harnessed to channel money made from, for example, trade in firearms and illegal drugs.

Ernesto La Mattina, head of the Homeland Security Unit at the Italian software company Engineering Ingegneria Informatica, and project coordinator for DANTE, says that while cryptocurrencies are renowned for being secure, each chain of transactions has to be initiated by someone and that provides a point of vulnerability, such as an email address, where identity can be probed. Linking this snippet with information extracted from other arenas can help law enforcers “reconstruct the entire crime storytelling,” he said.

DANTE is integrating tools such as stylometric analysis in which algorithms note distinctive aspects of a text attributable to a specific person such as the frequency of use of certain words, grammatical structures and sentence patterns. This provides insights into the educational level, gender or age of the writer. In lab tests using known participants, its accuracy is around 90%, says La Mattina.

The platform also includes tools that analyze audio – translating, transcribing and trying to identify the speaker – and videos. The video tools use algorithms to alert analysts to interesting objects or features such as weapons, tattoos or flags.

The five languages chosen for the project – English, Arabic, Italian, Portuguese and Spanish – are analyzed in two ways. A deep semantic analysis of the original text is carried out as well as an analysis of its English translation.

Both DANTE and another pan-European project, TENSOR, work with national law enforcement agencies which stipulate what they need in their operations. TENSOR is in fact coordinated by a law enforcement agency, PSNI, and focuses on detecting the planning of terrorist events, radicalization and recruitment. Counterparts in Belgium, Germany, Greece, Spain and the U.K. are piloting the project.

As with DANTE, TENSOR researchers are pulling together myriad types of analysis onto the same platform so the relationships between pieces of information can be collated and considered on a single computer screen. Tools include semantic analysis of the relationships between words, artificial intelligence, deep learning, social media analytics, multi-media forensic analysis and classification.


A multi-media forensic tool might, for example, assess a propaganda video to see whether it has been tampered with – for example, by splicing in a scene that comes from a movie, says Prof. Akhgar, a TENSOR collaborator.

Classification tools arrange millions of data fragments in a graspable set of hierarchies, or taxonomies. They can be arranged like an exploding star packed with content that reveals itself in ever-increasing detail at a click.

“It’s about trying to make it more efficient and effective for the analyst, who will ultimately have to review any data that’s retrieved or identified and make that recommendation on what action should be taken,” said Middleton, project coordinator for TENSOR.

Last month, at the first prototype testing of the TENSOR platform, Middleton says law enforcers were excited about the amount and kind of information that can be returned.

“They’re seeing all those individual pieces of information in one program, in one desktop,” he said. “So rather than scrolling between different software solutions and trying to extract information out of each solution they are actually getting all the analytics back in a much more useable manner.”

All this has to be achieved while respecting privacy and legal protection, which is a great challenge, say the projects’ collaborators.

“There are lots of tools providers out there who are doing all sorts of things,” said Prof. Akhgar. “But as soon as they would bring that piece of kit to the operational environment they would find that it’s not legal to use it, or the data obtained from it is not admissible in court, or they are breaching the General Data Protection Regulation, or breaching human rights law or whatever it is within the EU framework of legislation. And the tool becomes useless.”

He said: “It is critical that everything which we pull together is done on the basis of fundamental rights and GDPR guidelines.”

This article is published courtesy of Horizon, the EU research and innovation magazine