Intrusion detection using optimized ensemble classification in fog computing paradigm
Fog computing is a framework, which expands services of the cloud to network for
addressing inherent issues of the cloud. Intrusion Detection Systems (IDSs) represent a …
addressing inherent issues of the cloud. Intrusion Detection Systems (IDSs) represent a …
Machine Learning Methods of IoT Security and Future Application: Machine Learning Methods of IoT Security and Future Application
A Ali, S Naeem, S Anam, MM Ahmed - Proceedings of the Pakistan …, 2022 - ppaspk.org
One of the technologies that are now expanding rapidly is called the Internet of Things (IoT).
It is a technology that enables billions of smart devices or things, collectively referred to as …
It is a technology that enables billions of smart devices or things, collectively referred to as …
Federated-learning-based decision support for industrial internet of things (iiot)-based printed circuit board assembly process
Solder paste printing (SPP) is one of the critical processes for the printed circuit board
assembly to reliably apply the solder paste on raw PCBs for the component placement …
assembly to reliably apply the solder paste on raw PCBs for the component placement …
The use of serverless processing in web application development
R Banaszak, A Kobusinska - International Computer Symposium, 2022 - Springer
This paper analyses the applicability of serverless processing in the web application field.
We discuss whether the serverless approach fulfils the web applications' requirements, and …
We discuss whether the serverless approach fulfils the web applications' requirements, and …
A Hybrid PCA-MAO Based LSTM Model for Intrusion Detection in IoT Environments
With the rapid advances in Internet of Things (IoT) technologies, the number of smart objects
connected to IoT networks is increasing day by day. Parallel to this exponential growth …
connected to IoT networks is increasing day by day. Parallel to this exponential growth …
[PDF][PDF] Chaotic Metaheuristics with Multi-Spiking Neural Network Based Cloud Intrusion Detection
M Yamin, S Bajaba, ZM AlKubaisy - Comput. Mater. Contin, 2022 - cdn.techscience.cn
Cloud Computing (CC) provides data storage options as well as computing services to its
users through the Internet. On the other hand, cloud users are concerned about security and …
users through the Internet. On the other hand, cloud users are concerned about security and …
Credit Card Fraud Detection Using Deep Learning Approach (LSTM) Under IoT Environment
B Tayeb, A Amine, HM Reda… - International Journal of …, 2022 - igi-global.com
Online payment has mainly relied since 2008 on having a rechargeable cash card that
remains the most popular form of payment for e-commerce transactions. Using this card is …
remains the most popular form of payment for e-commerce transactions. Using this card is …
BSA-SGRU-A Novel Deep Learning Framework for Alleviate the Multiple Attacks in IoT-Cloud Environment
PJ Kumar, N Subbu - Journal of Computational and …, 2022 - ojs.bonviewpress.com
Abstract The Internet of Things (IoT) has emanated as an innovative technology that grants
users to establish connections to external servers located in the cloud and the uninterrupted …
users to establish connections to external servers located in the cloud and the uninterrupted …