Results 21 to 30 of about 5,452,269 (307)
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
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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
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Proceedings of the AAAI Conference on Artificial Intelligence, 2020 We critically appraise the recent interest in out-of-distribution (OOD) detection and question the practical relevance of existing benchmarks. While the currently prevalent trend is to consider different datasets as OOD, we argue that out-distributions of practical interest are ones where the distinction is semantic in nature for a specified context ...
Ahmed, Faruk, Courville, Aaron
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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
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Anomaly detection in video sequences: A benchmark and computational model
IET Image Processing, 2021 Anomaly detection has attracted considerable search attention. However, existing anomaly detection databases encounter two major problems. Firstly, they are limited in scale.
Boyang Wan +4 more
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Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection [PDF]
IEEE International Conference on Computer Vision, 2019 Deep autoencoder has been extensively used for anomaly detection. Training on the normal data, the autoencoder is expected to produce higher reconstruction error for the abnormal inputs than the normal ones, which is adopted as a criterion for ...
Dong Gong +6 more
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DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection [PDF]
Knowledge Discovery and Data Mining, 2023 Time series anomaly detection is critical for a wide range of applications. It aims to identify deviant samples from the normal sample distribution in time series. The most fundamental challenge for this task is to learn a representation map that enables
Yiyuan Yang +4 more
semanticscholar +1 more source
Improvement in detection of presence in forbidden locations in video anomaly using optical flow map [PDF]
هوش محاسباتی در مهندسی برق, 2023 Anomaly detection has been in researchers’ scope of study for a long time. The wide variety of anomaly detection use cases ranges from quality control in production lines to providing security in public places.
Mohammad Rahimpour +3 more
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Multi-Perspective Anomaly Detection [PDF]
Sensors, 2021 Anomaly detection is a critical problem in the manufacturing industry. In many applications, images of objects to be analyzed are captured from multiple perspectives which can be exploited to improve the robustness of anomaly detection. In this work, we build upon the deep support vector data description algorithm and address multi-perspective anomaly ...
Peter Jakob +3 more
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Toward Practical Crowdsourcing-Based Road Anomaly Detection With Scale-Invariant Feature
IEEE Access, 2019 Road anomaly detection with crowdsourced sensor data has become an increasingly important field of research over the last few years. Traditional ways for road anomaly detection are either threshold-based detection techniques or feature-based detection ...
Yuanyi Chen +3 more
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