- Real-time monitoring of vast data sources for early detection of food threats.
- Ontology-based approach enables identification of unknown and surprising threats.
- Automated system reduces reliance on human-based surveillance methods.
OVERVIEW
This invention provides a method and a system that automates the generation of food safety hypotheses and recognizes potential threats by analyzing large-scale data in real-time. Unlike traditional methods that rely on pre-defined keyword searches or human-based horizon scanning, this innovative system continuously monitors diverse data sources to construct and update qualitative metrics. By leveraging an ontology-based approach, it identifies deviations from baseline metrics, allowing for early detection of food threats. For example, the system can detect sudden changes in sentiment or the occurrence of ontological terms related to food safety across global news sources, providing timely alerts to stakeholders.
BACKGROUND
Increased cyber-security threats and the exponential growth of data present significant challenges for the food industry. Traditional surveillance methods are inefficient and often miss unexpected threats. This novel system developed by Georgetown University researchers addresses these issues by enabling real-time, automated analysis and hypothesis generation, enhancing the ability to identify and respond to food safety threats swiftly and effectively.
Benefit
Real-Time Detection:Provides immediate alerts on potential food safety threats, ensuring timely response.Comprehensive Analysis:Continuously monitors and analyzes large-scale data, reducing the likelihood of missing critical information.Scalable and Automated:Handles vast amounts of data with minimal human intervention, increasing efficiency and accuracy.Versatile Application:Applicable to various food safety threats, including contamination, fraud, and supply chain vulnerabilities.Trusted Theoretical Basis:Built on a robust theoretical framework that users can understand and rely on.
Market Application
Food Safety Monitoring:Enhances surveillance of food supply chains to detect contamination or fraud early.Cyber-Security in the Food Industry:Protects industrial control systems from cyber threats that could compromise food safety.Public Health Protection:Assists in identifying and responding to potential public health threats related to food.Regulatory Compliance:Supports compliance with food safety regulations by providing detailed and timely threat assessments.Supply Chain Management:Improves the security and integrity of food supply chains by identifying vulnerabilities.
Publications
A new report reveals the growing threat of cyber-attacks to food safety.
US Patent No. 11,887,018
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