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 and 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.