Framework and method for the automated determination of classes and anomaly detection methods for time series
US11567914B2 - Framework and method for the automated determination of classes and
anomaly detection methods for time series - Google Patents US11567914B2 - Framework and …
anomaly detection methods for time series - Google Patents US11567914B2 - Framework and …
Risk assessment using Poisson Shelves
JW Dumoulin, C Freeman, J DelloStritto - US Patent 11,334,832, 2022 - Google Patents
Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt
statistical properties of count data in a novel algorithm to uncover records exhibiting high risk …
statistical properties of count data in a novel algorithm to uncover records exhibiting high risk …
Machine learning-based security threat investigation guidance
T Mitelman - US Patent 11,544,374, 2023 - Google Patents
(57) ABSTRACT A technique includes accessing data representing a state of a given
investigation of a potential security threat to a computer system by a security analyst. The …
investigation of a potential security threat to a computer system by a security analyst. The …
System and method for determining reasons for anomalies using cross entropy ranking of textual items
C Freeman - US Patent 11,610,580, 2023 - Google Patents
US11610580B2 - System and method for determining reasons for anomalies using cross
entropy ranking of textual items - Google Patents US11610580B2 - System and method for …
entropy ranking of textual items - Google Patents US11610580B2 - System and method for …
Systems and methods for detecting and grouping anomalies in data
J Zhu, K Sundaresan - US Patent 12,112,241, 2024 - Google Patents
The present disclosure generally relates to apparatus, software and methods for detecting
anomalous elements in data. For example, the data can be any time series, such as but not …
anomalous elements in data. For example, the data can be any time series, such as but not …
Multivariate risk assessment via poisson shelves
JW Dumoulin, C Freeman, J DelloStritto - US Patent 11,928,634, 2024 - Google Patents
Detecting fraudulent activity can be a complex, manual process. In this paper, we adapt
statistical properties of count data in a novel algorithm to uncover records exhibiting high risk …
statistical properties of count data in a novel algorithm to uncover records exhibiting high risk …
Malware detection with multi-level, ensemble artificial intelligence using bidirectional long short-term memory recurrent neural networks and natural language …
S Balaji, R Periyasamy, S Mehta - US Patent 12,095,789, 2024 - Google Patents
A multi-level, ensemble network monitoring system for detection of suspicious network
activity from one or more a plurality of user computing devices on an external network …
activity from one or more a plurality of user computing devices on an external network …
Malware detection with multi-level, ensemble artificial intelligence using bidirectional long short-term memory recurrent neural networks and natural language …
S Balaji, R Periyasamy, S Mehta - US Patent 12,021,895, 2024 - Google Patents
A multi-level, ensemble network monitoring system for detection of suspicious network
activity from one or more a plurality of user computing devices on an external network …
activity from one or more a plurality of user computing devices on an external network …
Cloud native virtual machine runtime protection
L Levin, J Morello, D Stopel, M Velbaum… - US Patent App. 18 …, 2023 - Google Patents
(57) ABSTRACT Related US Application Data A system and method for cloud native virtual
machine (VM)(63) Continuation of application No. 17/539.658, filed on runtime protection …
machine (VM)(63) Continuation of application No. 17/539.658, filed on runtime protection …
Framework for the automated determination of classes and anomaly detection methods for time series
Disclosed are a framework and method for selecting an anomaly detection method for each
of a plurality of class of time series based on characteristics a time series example that …
of a plurality of class of time series based on characteristics a time series example that …