Recent endeavors in machine learning-powered intrusion detection systems for the Internet of Things

D Manivannan - Journal of Network and Computer Applications, 2024 - Elsevier
The significant advancements in sensors and other resource-constrained devices, capable
of collecting data and communicating wirelessly, are poised to revolutionize numerous …

The 3-axis scalable service-cloud resource modeling for burst prediction under smart campus scenario

MA Razzaq, JA Mahar, M Ahmad, I Ali… - IEEE …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) enables smart campuses more convenient for cloud services. The
availability of cloud resources to its users appears as a fundamental challenge. The existing …

[HTML][HTML] A Deep Anomaly Detection System for IoT-Based Smart Buildings

S Cicero, M Guarascio, A Guerrieri, S Mungari - Sensors, 2023 - mdpi.com
In recent years, technological advancements in sensor, communication, and data storage
technologies have led to the increasingly widespread use of smart devices in different types …

Toward the Selection of a Lightweight Authentication Technique for the Security of Smart Homes: Framework Architecture Based on a User Centric Design

TK Araghi, D Megías, A Rosales - Science and Information Conference, 2023 - Springer
Abstract The Internet of things (IoT) is known today as a substantial technology due to variety
of its applications resulting in a huge circulation of users' private information. Thus, it poses …

Trajectory analysis method based on video surveillance anomaly detection

X Zhou, Y Chen, Q Zhang - 2021 China Automation Congress …, 2021 - ieeexplore.ieee.org
Video surveillance system monitors potential malicious activities through video images,
which is also an important part of city security prevention. In order to improve the application …

Deep Trust: A Novel Framework for Dynamic Trust and Reputation Management in the Internet of Things (IoT) Based Networks

F Ullah, A Salam, F Amin, IA Khan, J Ahmed… - IEEE …, 2024 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) has brought unprecedented connectivity,
introducing complex trust and reputation management challenges across vast …

Effective anomaly detection approach to classify noisy data using robust noise detection and removal technique in IoT healthcare data

S Subha, JGR Sathiaseelan - SN Computer Science, 2023 - Springer
In IoT, it is a collection of connected devices or sensors that allows data to be collected and
shared over the internet. Sensor data quality is critical in IoT applications since they become …

Effective anomaly detection in hybrid wireless IoT environment through machine learning model: a survey

V Shanmuganathan… - International Journal of …, 2023 - inderscienceonline.com
Wireless hybrid environment has seamlessly integrated inside all smart homes and in smart
environments. Assaults and Anomalies are probably going to happen in open platform of IoT …

PRIAH: private alerts in healthcare

AM Said, A Yahyaoui, T Abdellatif - … Conference on Risks and Security of …, 2022 - Springer
Privacy is today a mandatory property to implement in modern systems and particularly in
Healthcare systems where patients' personal data is exchanged between different persons …

A network design scheme in delay sensitive monitoring services

A Kawabata, T Tojo, BC Chatterjee… - IEICE Transactions on …, 2023 - search.ieice.org
Mission-critical monitoring services, such as finding criminals with a monitoring camera,
require rapid detection of newly updated data, where suppressing delay is desirable. Taking …