Analysis of anomaly detection method for Internet of things based on deep learning

W Ma - Transactions on Emerging Telecommunications …, 2020 - Wiley Online Library
With the rapid development of the Internet of things technology, the connection between
things and people is realized in a real sense, and the intelligent perception, recognition, and …

[PDF][PDF] Hybrid Multi-Objective Deep Learning Model for Anomaly Detection in Cloud Computing Environment

RR Palle - International Journal of Scientific Research in Science …, 2015 - academia.edu
Cloud computing environments play a pivotal role in the IT landscape, seamlessly integrated
into the fabric of organizations and individuals' daily activities. Despite the myriad …

Anomaly detection in cloud environment using artificial intelligence techniques

L Girish, SKN Rao - Computing, 2023 - Springer
Now days the usage of cloud environment is rapidly increasing in all the fields to run
applications in virtual machines instead of physical hardware based machine. This …

Deep anomaly detection in expressway based on edge computing and deep learning

J Wang, M Wang, Q Liu, G Yin, Y Zhang - Journal of Ambient Intelligence …, 2022 - Springer
In order to improve the real-time efficiency of expressway operation monitoring and
management, the anomaly detection in intelligent monitoring network of expressway based …

HyClass: Hybrid classification model for anomaly detection in cloud environment

S Garg, K Kaur, N Kumar, S Batra… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
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 …

A many objective-based feature selection model for anomaly detection in cloud environment

Z Zhang, J Wen, J Zhang, X Cai, L Xie - Ieee Access, 2020 - ieeexplore.ieee.org
With the development of cloud computing technology (CCT), the processing of network traffic
data becomes particularly important. However, the existing intrusion detection systems (IDS) …

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 …

Efficient approach for anomaly detection in internet of things traffic using deep learning

SI Imtiaz, LA Khan, AS Almadhor… - Wireless …, 2022 - Wiley Online Library
The network intrusion detection system (NIDs) is a significant research milestone in
information security. NIDs can scan and analyze the network to detect an attack or anomaly …

Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment

BA NG, S Selvakumar - Future Generation Computer Systems, 2020 - Elsevier
The proliferation of Internet of things (IoT) devices has lured hackers to launch attacks.
Therefore, anomalies in IoT traffic must be detected to mitigate these attacks and protect …

Cloud-based multiclass anomaly detection and categorization using ensemble learning

F Shahzad, A Mannan, AR Javed, AS Almadhor… - Journal of Cloud …, 2022 - Springer
The world of the Internet and networking is exposed to many cyber-attacks and threats. Over
the years, machine learning models have progressed to be integrated into many scenarios …