A Fusion Model Based on Dynamic Web Browsing Behavior Analysis for IoT Insider Threat Detection
Sensors, 2022 With the wide application of Internet of things (IoT) devices in enterprises, the traditional boundary defense mechanisms are difficult to satisfy the demands of the insider threats detection.
Jiarong Wang +5 more
doaj +1 more source
Variational Abnormal Behavior Detection With Motion Consistency
, 2022 Abnormal crowd behavior detection has recently attracted increasing attention due to its wide applications in computer vision research areas. However, it is still an extremely challenging task due to the great variability of abnormal behavior coupled ...
Huang, Q. +5 more
core +1 more source
Driving Behavior Clustering and Abnormal Detection Method Based on Agglomerative Hierarchy [PDF]
Jisuanji gongcheng, 2018 At present,the abnormal behavior detection based on video mainly focuses on the single vehicle restricted scene,which is difficult to monitor the whole transport process.Meanwhile,the track analysis of GPS is mainly based on the prior threshold judgment ...
HUI Fei,PENG Na,JING Shoucai,ZHOU Qi,JIA Shuo
doaj +1 more source
A robust abnormal behavior detection method using convolutional neural network [PDF]
, 2018 A behavior is considered abnormal when it is seen as unusual under certain contexts. The definition for abnormal behavior varies depending on situations. For example, people running in a field is considered normal but is deemed abnormal if it takes place
Teh, Pin Shen +14 more
core +1 more source
Abnormal Behavior Detection For Patients In Nursing Rehabilitation Center
Journal of Applied Science and Engineering, 2022 This paper proposes an abnormal behavior detection using visual monitoring in rehabilitation center. The proposed method solves the problems of inaccurate and delayed detection of abnormal behavior in traditional algorithms, and provides necessary ...
Xin Wang +5 more
doaj +1 more source
Abnormal behavior detection using dominant sets [PDF]
, 2014 Smart surveillance systems are increasingly being used to detect potentially dangerous situations. To do so, the common and easier way is to model normal human behaviors and consider as abnormal any new strange behavior in the scene.
Manuel, Alvar +6 more
core +2 more sources
Research on Internal Threat Detection Based on User Window Behavior [PDF]
Jisuanji gongcheng, 2020 User behavior on a computer is directly reflected in the interactions with application windows.To address intranet security issues,research on user behavior is conducted from the perspective of the use of application windows.A completely free intranet ...
LI Zhi, SONG Lipeng
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How abnormal is the behaviour of captive, zoo-living, chimpanzees? [PDF]
, 2011 Background. Many captive chimpanzees (Pan troglodytes) show a variety of serious behavioural abnormalities, some of which have been considered as possible signs of compromised mental health.
Newton-Fisher, Nicholas E. +7 more
core +2 more sources
An effective method for the abnormal monitoring of stage performance based on visual sensor network
International Journal of Distributed Sensor Networks, 2018 Abnormal monitoring of stage performance plays a vital role in the stage performance. For the real-time stage performance, detection efficiency and accuracy are particularly important.
Fuquan Zhang +4 more
doaj +1 more source
Abnormal Group-Based Joint Medical Fraud Detection
IEEE Access, 2019 Joint fraud is one of the most common fraud types existing in medical fraud. However, joint fraud detection is a difficult problem because fraudsters take only a very small part of the population and fraudsters do everything to bypass fraud detection ...
Chenfei Sun +5 more
doaj +1 more source