Network anomaly detection in time series using distance based outlier detection with cluster density analysis

K Flanagan, E Fallon, P Connolly… - … and Applications (ITA), 2017 - ieeexplore.ieee.org
It is common place in any organizational environment that data stored internally does not
necessarily belong to the company storing the data. In such cases, keeping this data …

Detection of anomalies in data for monitoring of security components in the Internet of Things

VA Desnitsky, IV Kotenko… - 2015 XVIII International …, 2015 - ieeexplore.ieee.org
The increasing urgency and expansion of information systems implementing the Internet of
Things (IoT) concept determine the importance of the investigation in the field of protection …

Towards aiops in edge computing environments

S Becker, F Schmidt, A Gulenko… - … Conference on Big …, 2020 - ieeexplore.ieee.org
Edge computing was introduced as a technical enabler for the demanding requirements of
new network technologies like 5G. It aims to overcome challenges related to centralized …

A novel unsupervised anomaly detection approach for intrusion detection system

W Chen, F Kong, F Mei, G Yuan… - 2017 ieee 3rd …, 2017 - ieeexplore.ieee.org
Network Anomaly Detection plays an important part in network security. Among the state-of-
the-art approaches, unsupervised anomaly detection is effective when dealing with …

Online privacy-preserving data-driven network anomaly detection

MN Kurt, Y Yılmaz, X Wang… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
We study online privacy-preserving anomaly detection in a setting in which the data are
distributed over a network and locally sensitive to each node, and a probabilistic data model …

Integration of cloud computing with internet of things: challenges and open issues

HF Atlam, A Alenezi, A Alharthi… - … on internet of things …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming the next Internet-related revolution. It allows billions
of devices to be connected and communicate with each other to share information that …

Simulation and modeling for anomaly detection in IoT network using machine learning

I Mukherjee, NK Sahu, SK Sahana - International Journal of Wireless …, 2023 - Springer
Today we are living in an era where everything is changing to be smart, whether it be a
smart home, smart industries, smart irrigation, or a smart meter, where the word smart refers …

Anomaly detection in iaas clouds

F Doelitzscher, M Knahl, C Reich… - 2013 IEEE 5th …, 2013 - ieeexplore.ieee.org
Security is still a major concern in Cloud computing, especially the detection of nefarious
use or abuse of cloud instances. One reason for this, is the ever-growing complexity and …

Unsupervised labeling for supervised anomaly detection in enterprise and cloud networks

S Baek, D Kwon, J Kim, SC Suh… - 2017 IEEE 4th …, 2017 - ieeexplore.ieee.org
Identifying anomalous events in the network is one of the vital functions in enterprises, ISPs,
and datacenters to protect the internal resources. With its importance, there has been a …

Outlier detection: A survey on techniques of WSNs involving event and error based outliers

DS Shukla, AC Pandey, A Kulhari - … Innovative Applications of …, 2014 - ieeexplore.ieee.org
In the recent few years, many wireless sensor networks have been distributed systematically
in the real world to collect valuable raw sensed data. However, the crucial point of challenge …