Transcript SEC-12-FCT-2016-2017_WOODARDx

Jennifer Woodard
[email protected]
sisu labs
- semantic technology company specialised in real time text analysis
for LEAs and other security stakeholders.
- Experienced in coordination of EC projects under FP7 and as
technical partner under H2020.
Role: Proposal Coordinator, WP leader and S/T provider
(proprietary NLP/text mining/data mining/predictive analytics
technologies)
Proposal activity:
SEC -12 – FCT Technologies for prevention, investigation, and
mitigation in the context of fight against crime and terrorism
SMIG2016 - 26-27 January 2016
Real-time criminal event detection system
for live social data streams
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INSIKT proposes a a real-time event detection and threat
prediction technology for LEA, powered by NLP, SNA and Deep
Learning. INSIKT will offer:
• Real time analysis and detection powered by NLP, which
structures unstructured social data for accurate threat detection
• Deep Learning algorithms for highly accurate detection and
prediction capabilities + Context Awareness
• Operational and technical interoperability by integrating with
LEA’s existing infrastructure and data sources
• Multilingual analysis features
• Evidence collection, sharing and preservation tools
• Available on any social source, well as other public sources or
internal LEA sources
• Visualisation of location-based data on heat maps
• Analysis results converted into social graphs to visualize
relationships between entities, users, locations and more
SMIG2016 - 26-27 January 2016
Concept and Features
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Proposed coordinator: sisu labs (open
to others)
Other participants:
Event Detection Expert (Industry - large
multinational - Israel)
SNA expert (SME- Hungary)
SNA expert (University – Hungary)
Big Data Software Development (SME –
Romania)
3 LEA end users (locations confidential)
Looking for partners with the following
expertise/technology/application field:
-
Data mining and Machine Learning
Multilingual NLP
Location data experts
Data security and evidence preservation
Terrorism and Crime Domain Experts
Technology Integrators
LEA end users
SMIG2016 - 26-27 January 2016
Tech Overview and Participants
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