Real-Time Anomaly Detection in Cold Chain Transportation Using IoT Technology

A Real Time Abandoned Object Detection and Addressing using IoT

Anomaly Detection Technology Using BigGraph

Many difficulties are encountered along all three axes of Big Data (volume, variety, and velocity), which limit the applicability of established technology. BigGraph is a research project and platform for realising the vision of an intelligent society, where requirements along all three axes can be accommodated. In the fraud detection scenario, working with Fujitsu UK & Ireland, BigGraph resear...

Detection of Nocardia Asteroides Complex in Clinical Isolates by Real-Time Polymerase Chain Reaction

Background and Aims: Nocardia asteroides complex is the most common cause of infectious diseases due to nocardiosis. Interspecies differentiation of Nocardia genera is essential for prognosis and timely proper treatment, as well as for epidemiological studies. Since each genus has its own antibiotic resistance, precise careful diagnosis is of prime importance. As compared to biochemical and phe...

Dendritic Cells for Real-Time Anomaly Detection

Dendritic Cells (DCs) are innate immune system cells which have the power to activate or suppress the immune system. The behaviour of human DCs is abstracted to form an algorithm suitable for anomaly detection. We test this algorithm on the real-time problem of port scan detection. Our results show a significant difference in artificial DC behaviour for an outgoing portscan when compared to beh...

Real-Time Anomaly Detection for Streaming Analytics

Much of the worlds data is streaming, time-series data, where anomalies give significant information in critical situations. Yet detecting anomalies in streaming data is a difficult task, requiring detectors to process data in real-time, and learn while simultaneously making predictions. We present a novel anomaly detection technique based on an on-line sequence memory algorithm called Hierarch...