HyClass: Hybrid classification model for anomaly detection in cloud environment
Network traffic analysis is one of the most important tasks in the era of on-demand Cloud
Computing. However, increased resilience on computing needs, migration flexibility, and …
Computing. However, increased resilience on computing needs, migration flexibility, and …
A study on machine learning approaches for outlier detection in wireless sensor network
RK Dwivedi, S Pandey, R Kumar - 2018 8th international …, 2018 - ieeexplore.ieee.org
Wireless Sensor Network (WSN) is an important research area nowadays. Wireless Sensor
Network is deployed in hostile environment consisting of hundreds to thousands of nodes …
Network is deployed in hostile environment consisting of hundreds to thousands of nodes …
[HTML][HTML] A review of anomaly detection systems in cloud networks and survey of cloud security measures in cloud storage applications
A Sari - Journal of Information Security, 2015 - scirp.org
Cloud computing has become one of the most projecting words in the IT world due to its
design for providing computing service as a utility. The typical use of cloud computing as a …
design for providing computing service as a utility. The typical use of cloud computing as a …
An intelligent outlier detection method with one class support tucker machine and genetic algorithm toward big sensor data in internet of things
X Deng, P Jiang, X Peng, C Mi - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Various types of sensor data can be collected by the Internet of Things (IoT). Each sensor
node has spatial attributes and may also be associated with a large number of measurement …
node has spatial attributes and may also be associated with a large number of measurement …
Anomaly detection on IoT data for smart city
Smart Cities are probably on the more complex environment for IOT data collection. IOT data
could have different producers, sample rates, periodic and aperiodic, typical trends …
could have different producers, sample rates, periodic and aperiodic, typical trends …
Accurate anomaly detection with energy efficiency in IoT–Edge–Cloud collaborative networks
With the applicability of edge intelligence in various domains, anomaly detection, which
aims to identify unusual and infrequent circumstances, is regarded as a regularly performed …
aims to identify unusual and infrequent circumstances, is regarded as a regularly performed …
Evaluating machine learning algorithms for anomaly detection in clouds
Critical services in the field of Network Function Virtualization require elaborate reliability
and high availability mechanisms to meet the high service quality requirements. Traditional …
and high availability mechanisms to meet the high service quality requirements. Traditional …
A secure hybrid cloud enabled architecture for internet of things
Rapid advances in digitalization, Internet and world wide web enable the communication
between two computing hosts across any location in the globe. Pervasive or ubiquitous …
between two computing hosts across any location in the globe. Pervasive or ubiquitous …
Security analysis of network anomalies mitigation schemes in IoT networks
The Internet of Things (IoT) is on the rise and it is giving a new shape to several fields such
as smart cities, smart homes, smart health, etc. as it facilitates the connection of physical …
as smart cities, smart homes, smart health, etc. as it facilitates the connection of physical …
Outlier detection in wireless sensor networks using machine learning techniques: a survey
RK Dwivedi, AK Rai, R Kumar - 2020 International Conference …, 2020 - ieeexplore.ieee.org
Now-a-days, Internet of Things (IoT) based systems are developing very fast which have
various type of wireless sensor networks (WSN) behind it. These networks have various …
various type of wireless sensor networks (WSN) behind it. These networks have various …