Effective anomaly detection using deep learning in IoT systems

L Aversano, ML Bernardi, M Cimitile… - Wireless …, 2021 - Wiley Online Library
Anomaly detection in network traffic is a hot and ongoing research theme especially when
concerning IoT devices, which are quickly spreading throughout various situations of …

Anomaly-based intrusion detection approach for IoT networks using machine learning

P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …

Intrusion detection using network traffic profiling and machine learning for IoT

JR Rose, M Swann, G Bendiab… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …

Anomaly detection using deep neural network for IoT architecture

Z Ahmad, A Shahid Khan, K Nisar, I Haider, R Hassan… - Applied Sciences, 2021 - mdpi.com
The revolutionary idea of the internet of things (IoT) architecture has gained enormous
popularity over the last decade, resulting in an exponential growth in the IoT networks …

Machine learning based anomaly detection for IoT network:(Anomaly detection in IoT network)

NK Sahu, I Mukherjee - 2020 4th International Conference on …, 2020 - ieeexplore.ieee.org
As the world is leading towards having everything smart, like smart home, smart grid smart
irrigation, there is the major concern of attack and anomaly detection in the Internet of Things …

Anomaly detection in Internet of Things using feature selection and classification based on Logistic Regression and Artificial Neural Network on N-BaIoT dataset

F Abbasi, M Naderan, SE Alavi - 2021 5th International …, 2021 - ieeexplore.ieee.org
According to the paradigm of the Internet of Things (IoT), physical devices are connected to
each other and to the Internet such that they operate automatically. One of the major …

Anomaly intrusion detection systems in IoT using deep learning techniques: a survey

MA Alsoufi, S Razak, MM Siraj, A Ali, M Nasser… - … conference of reliable …, 2020 - Springer
Security has a major role to play in the utilization and operations of the internet of things
(IoT). Several studies have explored anomaly intrusion detection and its utilization in a …

IoT dataset validation using machine learning techniques for traffic anomaly detection

L Vigoya, D Fernandez, V Carneiro, FJ Novoa - Electronics, 2021 - mdpi.com
With advancements in engineering and science, the application of smart systems is
increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT …

Anomaly detection techniques using deep learning in IoT: a survey

B Sharma, L Sharma, C Lal - 2019 International conference on …, 2019 - ieeexplore.ieee.org
IoT technologies is improving life quality by enhancing several real-life smart applications.
IoT includes large number of devices generating huge amount of data which needs large …

Dimensionality reduction for detection of anomalies in the iot traffic data

D Olszewski, M Iwanowski, W Graniszewski - Future Generation Computer …, 2024 - Elsevier
This paper concerns cybersecurity issues in one of the fastest growing fields of modern
computer systems the Internet-of-Things (IoT). In this field, intrusion detection plays a …