The main technological challenge consists of detecting potential threads on the network, in other words, finding the origin of this influencer, identifying its different ways of acting.
There are another challenges like quantifying its capacity and influence radio with the intention of being able to adopt specific measures that, without attempting against the freedom of expression, counteract, invest or minimize its influence capacity.
Automated search of crime through the content analysis in online social environments still involves technical difficulties:
• Detecting false profiles
• Finding an optimal rime dictionary
• Automating the information extraction from different systems
• Simulating future scenarios of crime
As it has been shown, some government cyber-security programs in different countries are already operating with reduced automation. The main problem of application software for the cyber-detection of crimes is the required maintenance, since it is very difficult to ensure effective probability of success in generating new dictionaries criminal terms.
The results should never be understood as significant evidences of a crime; cyber-detection software should be better understood as an example of decision support system.
From BISITE, we propose and storage and analysis approach with a society of distributed agents.
PIAR: Intelligent Platform for Detecting Network Threats
Funding body: Ministry of Industry, Energy and Tourism (Strategic Action Digital Economy and Society 2013)
Collaborators: Centro Regional de Servicios Avanzados (CSA) and Assesors Nous Professionals S.XXI, S.L.
Principal Research: Juan Manuel Corchado Rodríguez
Start date: 01-06-2013 End date: 01-12-2015