In a wide variety of situations, anomalies in the behaviour of a complex system, whose health is monitored through the observation of a random vector X = (X1,. .. , X d) valued in R d , correspond to the simultaneous occurrence of extreme values for certain subgroups α ⊂ {1,. .. , d} of variables Xj. Under the heavy-tail assumption, which is precis...
In a wide variety of situations, anomalies in the behaviour of a complex system, whose health is monitored through the observation of a random vector X = (X1,. .. , X d) valued in R d , correspond to the simultaneous occurrence of extreme values for certain subgroups α ⊂ {1,. .. , d} of variables Xj. Under the heavy-tail assumption, which is precis...
Online fraud poses a relatively new threat to the revenues of companies. A way to detect and prevent fraudulent behavior is with the use of specific machine learning (ML) techniques. These anomaly detection techniques have been thoroughly studied, but the level of employment is not as high. The airline industry suffers from fraud by parties such as...
With the rise of the number of sensors and actuators in an aircraft and the development of reliable data links from the aircraft to the ground, it becomes possible to improve aircraft security and maintainability by applying real-time analysis techniques. However, given the limited availability of on-board computing and the high cost of the data li...
La maintenance des tunnels requiert une inspection visuelle lourde et contraignante. Dans le but d'automatiser cette tâche, nous proposons d'évaluer et de comparer trois algorithmes d'apprentissage statistique, une forêt aléatoire et deux réseaux convolutifs, dédiés à la détection d'anomalies (e.g. des fissures) sur les parements des tunnels. Chaqu...
La maintenance des tunnels requiert une inspection visuelle lourde et contraignante. Dans le but d'automatiser cette tâche, nous proposons d'évaluer et de comparer trois algorithmes d'apprentissage statistique, une forêt aléatoire et deux réseaux convolutifs, dédiés à la détection d'anomalies (e.g. des fissures) sur les parements des tunnels. Chaqu...
Anomalous patterns in subjective votes can bias thermal comfort models built using data-driven approaches. A stochastic-based two-step framework to detect outliers in subjective thermal comfort data is proposed to address this problem. The anomaly detection technique involves defining similar conditions using a k-Nearest Neighbor (KNN) method and t...
This book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Interplay of Security, Safety and System/Software Architecture, CSITS 2018, and the International Workshop on Cyber Security for Intelligent Transportation Systems, ISSA 2018, held in Barcelona, Spain, in September 2018, in conjunction with th...
In a context of a rapidly growing population of elderly people, this paper introduces a novel method for behavioural anomaly detection relying on a self-organized learning process. This method first models the Circadian Activity Rhythm of a set of sensors and compares it to a nominal profile to determine variations in patients' activities. The anom...
This book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Interplay of Security, Safety and System/Software Architecture, CSITS 2018, and the International Workshop on Cyber Security for Intelligent Transportation Systems, ISSA 2018, held in Barcelona, Spain, in September 2018, in conjunction with th...
