Towards Fully Integrated Real-time Detection Framework for Online Contents Analysis - RED-Alert Approach
| Autor: | Syed Naqvi, Monica Florea, Cristi Potlog, Daniel Abel, Oscar Garcia, Sean Enderby, Ian Williams, Berta Biescas, Péter Pollner |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
Event (computing) Mobile broadband Law enforcement Complex event processing 02 engineering and technology 010501 environmental sciences 16. Peace & justice Computer security computer.software_genre 01 natural sciences Popularity 0202 electrical engineering electronic engineering information engineering Data Protection Act 1998 020201 artificial intelligence & image processing Social media Social network analysis computer 0105 earth and related environmental sciences |
| Zdroj: | EuroS&P Workshops 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) |
| Popis: | Social media is extensively used nowadays and is gaining popularity among the users with the increasing growth in the network capacity, connectivity, and speed. Moreover, affordable prices of data plans, especially mobile data packages, have considerably increased the use of multimedia by different users. This includes terrorists who use social media platforms to promote their ideology and intimidate their adversaries. It is therefore very important to develop automated solutions to semantically analyse online contents to assist law enforcement agencies in the preventive policing of online activities. A major challenge for the social media forensic analysis is to preserve the privacy of citizens who use online social networking platforms. This paper presents results of European H2020 project RED-Alert that aims to enable secure and privacy preserving data processing; hence the malicious content and the corresponding personality can be ethically tracked. We have mined seven social media channels for content and providing support for ten languages for analysis. Our proposed solution is designed to ensure security and policing of online contents by detecting terrorist material. We have used social network analysis, speech recognition, face and object detection besides audio event detection to extract information from online sources that are fed in a complex event processor. We have discussed the challenges and prospects of this work especially the need of analysing online contents while respecting European and national data protection laws notably GDPR. |
| Databáze: | OpenAIRE |
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