Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 Annals of Computer Science and Information Systems

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: Fog Computing

Sortuj według:

Ogranicz wyniki do:

Application of Machine Learning in Malicious IoT Classification and Detection on Fog-IoT Architecture

Annals of Computer Science and Information Systems

2022

Vol. 33

299--303

Due to the limitations in self-protection and information processing capabilities at IoT (Internet of Things) nodes, these nodes are susceptible to attacks, turning them into malicious nodes that cause damage or danger to the system. Early detection of these threats is essential to make timely recommendations and limit severe consequences for individuals and organizations. The study proposes applying a machine learning model to detect malicious traffic and IoT devices, which can be deployed and applied on the Fog IoT platform. This solution helps detect and early warn threats from IoT data before they are sent to the cloud. The model is evaluated on the IoT-23 dataset and gives good results.

A fog computing architecture for security and quality of service

Nunes Barreto Bruno, Rezende de Sa Alexandre, de Ribamar Lima Ribeiro Admilson

Annals of Computer Science and Information Systems

2019

Vol. 19

69--73

The Fog Computing paradigm is an emerging architecture and focuses on optimizing resources for the Internet of Things environment, bringing to the Edge, Cloud's characteristics. The demand generated by the number of possible devices in this network attracts problems related to quality of service, security, among others, attracting researchers from the most diverse areas. In our work, in addition to performing a study on selected works in a mapping process, detecting trends in the use of Fog architectures. The main contribution is presented by a security-based Fog Computing architecture using QoS for scalable environments with Docker containers for orchestration and deployment of security with SDN.