Results 11 to 20 of about 2,967,782 (299)
A dubiety-determining based model for database cumulated anomaly intrusion [PDF]
, 2007 The concept of Cumulated Anomaly (CA), which describes a new type of database anomalies, is addressed. A typical CA intrusion is that when a user who is authorized to modify data records under certain constraints deliberately hides his/her intentions ...
Yi, J, Lü, K, Lu, G
core +7 more sources
Research Progress of Video Anomaly Detection Technology [PDF]
Jisuanji kexue yu tansuo, 2022 Video anomaly detection refers to the detection and identification of events that deviate from normal behavior, which has a wide range of applications in surveillance video.
WU Kaijun, HUANG Tao, WANG Dicong, BAI Chenshuai, TAO Xiaomiao
doaj +1 more source
SA-PatchCore: Anomaly Detection in Dataset With Co-Occurrence Relationships Using Self-Attention
IEEE Access, 2023 Various unsupervised anomaly detection methods using deep learning have recently been proposed, and the accuracy of the anomaly detection technique for local anomalies has been improved.
Kengo Ishida +5 more
doaj +1 more source
Nuclear Physics B, 2022 Anomaly detection algorithms have been proved to be useful in the search of new physics beyond the Standard Model. However, a prerequisite for using an anomaly detection algorithm is that the signal to be sought is indeed anomalous.
Ji-Chong Yang, Yu-Chen Guo, Li-Hua Cai
doaj +1 more source
Subspace discovery for video anomaly detection [PDF]
, 2010 PhDIn automated video surveillance anomaly detection is a challenging task. We address this task as a novelty detection problem where pattern description is limited and labelling information is available only for a small sample of normal instances.
Tziakos, Ioannis
core +4 more sources
Collaborative Detection Technology of SDN Abnormal Traffic Based on Federated Learning [PDF]
Jisuanji gongcheng, 2023 Anomaly detection is an effective method for discovering potential security threats.However, current anomaly detection methods used in the Software-Defined Network(SDN) exhibit commom problems such as weak adaptability, poor coordination.This study ...
CHEN Hexiong, LUO Yuwei, WEI Yunkai, GUO Wei, HANG Feilu, HE Yingjun, YANG Ning
doaj +1 more source
Subspace-Based Anomaly Detection for Large-Scale Campus Network Traffic
Journal of Applied Mathematics, 2023 With the continuous development of information technology and the continuous progress of traffic bandwidth, the types and methods of network attacks have become more complex, posing a great threat to the large-scale campus network environment.
Xiaofeng Zhao, Qiubing Wu
doaj +1 more source
Video anomaly detection using Cross U-Net and cascade sliding window
Journal of King Saud University: Computer and Information Sciences, 2022 As video surveillance exponentially increases, a method that automatically detects abnormal events in video surveillance is essential. Several anomaly detection methods have been proposed to detect abnormal events in video surveillance. Much research has
Yujun Kim +3 more
doaj +1 more source
Predictive anomaly detection for marine diesel engine based on echo state network and autoencoder
Energy Reports, 2022 Marine diesel engine with high thermal efficiency and good economy has become the main power of ships. Anomaly detection is an important method to improve the operation reliability of marine diesel engine.
Chong Qu +3 more
doaj +1 more source
Anomaly Detection As-a-Service [PDF]
2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2019 Paper accepted at the Intl. Workshop on Governing Adaptive and Unplanned Systems of Systems (GAUSS)
Mobilio, M +4 more
openaire +2 more sources