Results 51 to 60 of about 109,015 (219)
An Adaptive Policy-Based Anomaly Object Control System for Enhanced Cybersecurity
IEEE AccessAnomaly detection research focuses on identifying rare patterns derived from daily occurrences. This study introduces an innovative anomaly–object control system that utilizes adaptive policies through anomaly detection algorithms.
Won Sakong, Wooju Kim
doaj +1 more source
发电技术, 2021 Anomaly detection of gas turbine hot components can ensure its operational safety and reliability. With the boom of artificial intelligence, data-driven fault diagnosis is becoming increasingly popular.
Mingliang BAI +4 more
doaj +1 more source
Model selection for anomaly detection [PDF]
SPIE Proceedings, 2015 6 pages, 3 figures, Eighth International Conference on Machine Vision (December 8, 2015)
Evgeny Burnaev +2 more
openaire +2 more sources
Anomaly detection and community detection in networks
Journal of Big Data, 2022 AbstractAnomaly detection is a relevant problem in the area of data analysis. In networked systems, where individual entities interact in pairs, anomalies are observed when pattern of interactions deviates from patterns considered regular. Properly defining what regular patterns entail relies on developing expressive models for describing the observed ...
Hadiseh Safdari, Caterina De Bacco
openaire +3 more sources
CoRR, 2023 Anomaly detection is critical for finding suspicious behavior in innumerable systems. We need to detect anomalies in real-time, i.e. determine if an incoming entity is anomalous or not, as soon as we receive it, to minimize the effects of malicious activities and start recovery as soon as possible. Therefore, online algorithms that can detect anomalies
openaire +2 more sources
A Survey on Explainable Anomaly Detection
ACM Transactions on Knowledge Discovery from Data, 2023 In the past two decades, most research on anomaly detection has focused on improving the accuracy of the detection, while largely ignoring the explainability of the corresponding methods and thus leaving the explanation of outcomes to practitioners. As anomaly detection algorithms are increasingly used in safety-critical domains, providing explanations
Zhong Li 0002 +2 more
openaire +3 more sources
, 2019 <p>Anomaly detection implemented in Keras</p ...
Chen, Xianshun, Chen, Xianshun (6828593)
core +1 more source
Spectrum Anomaly Detection for Optical Network Monitoring using Deep Unsupervised Learning [PDF]
, 2021 Accurate and efficient anomaly detection is a key enabler for the cognitive management of optical networks, but traditional anomaly detection algorithms are computationally complex and do not scale well with the amount of monitoring data.
Furdek Prekratic, Marija, +11 more
core +1 more source
Establishment and mapping of heterogeneous anomalies in network intrusion datasets
Connection Science, 2022 Anomaly detection in the scope of network security aims to identify network instances for the unexpected and unique, with various security operations employing such techniques to facilitate effective threat detection.
Liam Riddell +2 more
doaj +1 more source
Anomaly detection in RFID systems [PDF]
International Journal of Radio Frequency Identification Technology and Applications, 2011 The level of sophistication exhibited by RFID tags is affected by not only their financial cost but also their ability to provide (extensive) cryptographic functionalities. It follows that low-cost tags offer no real control access. To tackle this issue, we propose an anomaly detection system that attempts to identify deviations from normal behaviour ...
Khaled Garri +3 more
openaire +2 more sources