Adaptive anomaly detection in performance metric streams
O Ibidunmoye, AR Rezaie… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Continuous detection of performance anomalies such as service degradations has become
critical in cloud and Internet services due to impact on quality of service and end-user …
critical in cloud and Internet services due to impact on quality of service and end-user …
Fluxrank: A widely-deployable framework to automatically localizing root cause machines for software service failure mitigation
The failures of software service directly affect user experiences and service revenue. Thus
operators monitor both service-level KPIs (eg, response time) and machine-level KPIs (eg …
operators monitor both service-level KPIs (eg, response time) and machine-level KPIs (eg …
Rule-based anomaly detection on IP flows
N Duffield, P Haffner, B Krishnamurthy… - IEEE INFOCOM …, 2009 - ieeexplore.ieee.org
Rule-based packet classification is a powerful method for identifying traffic anomalies, with
network security as a key application area. While popular systems like Snort are used in …
network security as a key application area. While popular systems like Snort are used in …
Deep in the dark-deep learning-based malware traffic detection without expert knowledge
G Marín, P Casas… - 2019 IEEE Security and …, 2019 - ieeexplore.ieee.org
With the ever-growing occurrence of networking attacks, robust network security systems are
essential to prevent and mitigate their harming effects. In recent years, machine learning …
essential to prevent and mitigate their harming effects. In recent years, machine learning …
Anomaly detection approaches for communication networks
In recent years, network anomaly detection has become an important area for both
commercial interests as well as academic research. Applications of anomaly detection …
commercial interests as well as academic research. Applications of anomaly detection …
Traffic prediction based on machine learning for elastic optical networks
M Aibin - Optical Switching and Networking, 2018 - Elsevier
The increased data transfers and rapidly evolving cloud services lead to the inevitable need
for the new techniques applied to communication networks, such as AI, machine learning …
for the new techniques applied to communication networks, such as AI, machine learning …
Detecting anomalies in unmanned vehicles using the mahalanobis distance
The use of unmanned autonomous vehicles is becoming more and more significant in
recent years. The fact that the vehicles are unmanned (whether autonomous or not), can …
recent years. The fact that the vehicles are unmanned (whether autonomous or not), can …
Servicerank: Root cause identification of anomaly in large-scale microservice architectures
Nowadays, increasing business applications running in the cloud are embracing the
microservice architecture. This article presents the challenges and implications of …
microservice architecture. This article presents the challenges and implications of …
Semi-supervised, Neural Network based approaches to face mask and anomaly detection in surveillance networks
In the post-pandemic world, surveillance cameras play a key aspect when it comes to
detecting various kinds of security risks. These can range from burglars entering a premises …
detecting various kinds of security risks. These can range from burglars entering a premises …
Machine learning for netflow anomaly detection with human-readable annotations
P Krishnamurthy, F Khorrami… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We propose a framework for anomaly detection in communication network logs along with
automated extraction of human-readable annotations that explain the decision logic …
automated extraction of human-readable annotations that explain the decision logic …