Sökning: "Anomaly detection"

Visar resultat 1 - 5 av 55 avhandlingar innehållade orden Anomaly detection.

  1. 1. Conformal anomaly detection : Detecting abnormal trajectories in surveillance applications

    Författare :Rikard Laxhammar; Göran Falkman; Pontus Svenson; Högskolan i Skövde; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Anomaly detection; conformal prediction; trajectory analysis; video surveillance; maritime surveillance; Technology; Teknik; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Sammanfattning : Human operators of modern surveillance systems are confronted with an increasing amount of trajectory data from moving objects, such as people, vehicles, vessels, and aircraft. A large majority of these trajectories reflect routine traffic and are uninteresting. LÄS MER

  2. 2. Anomaly detection in the surveillance domain

    Författare :Christoffer Brax; Lars Niklasson; Göran Falkman; Dimiter Driankov; Henric Johnson; Örebro universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; Anomaly Detection; Information Fusion; Visual Surveillance; Maritime Domain Awareness; Computer and Systems Science; Data- och systemvetenskap; Teknik; Technology;

    Sammanfattning : In the post September 11 era, the demand for security has increased in virtually all parts of the society. The need for increased security originates from the emergence of new threats which differ from the traditional ones in such a way that they cannot be easily defined and are sometimes unknown or hidden in the “noise” of daily life. LÄS MER

  3. 3. Visual analytics for maritime anomaly detection

    Författare :María José Riveiro; Göran Falkman; Tom Ziemke; Dag Stranneby; Mikael Jern; Maria Riveiro; Örebro universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; visual analytics; anomaly detection; maritime traffic monitoring; analytical reasoning; information fusion; TECHNOLOGY; TEKNIKVETENSKAP; Information technology; Informationsteknik; Computer science; Datavetenskap; Computer and Systems Science; Data- och systemvetenskap; Technology; Teknik;

    Sammanfattning : The surveillance of large sea areas typically involves  the analysis of huge quantities of heterogeneous data.  In order to support the operator while monitoring maritime traffic, the identification of anomalous behavior or situations that might need further investigation may reduce operators' cognitive load. LÄS MER

  4. 4. Traffic Analysis, Modeling and Their Applications in Energy-Constrained Wireless Sensor Networks : On Network Optimization and Anomaly Detection

    Författare :Qinghua Wang; Tingting Zhang; Stefan Pettersson; Youzhi Xu; Yan Zhang; Mittuniversitetet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Wireless sensor network; traffic analysis; network optimization; anomaly detection; Computer and systems science; Data- och systemvetenskap;

    Sammanfattning : Wireless sensor network (WSN) has emerged as a promising technology thanks to the recent advances in electronics, networking, and information processing. A wide range of WSN applications have been proposed such as habitat monitoring, environmental observations and forecasting systems, health monitoring, etc. LÄS MER

  5. 5. Adaptive Real-time Anomaly Detection for Safeguarding Critical Networks

    Författare :Kalle Ring Burbeck; Simin Nadjm-Tehrani; Erland Jonsson; Linköpings universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; intrusion detection; anomaly detection; real-time; clustering; adaptation; IP networks; Computer science; Datalogi;

    Sammanfattning : Critical networks require defence in depth incorporating many different security technologies including intrusion detection. One important intrusion detection approach is called anomaly detection where normal (good) behaviour of users of the protected system is modelled, often using machine learning or data mining techniques. LÄS MER