XGBoost for imbalanced multiclass classification-based industrial internet of things intrusion detection systems

TTH Le, YE Oktian, H Kim - Sustainability, 2022 - mdpi.com
The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …

3GPP release-16 for industrial internet of things and mission critical communications

CI Nwakanma, AP Anantha, FB Islam… - … on Information and …, 2020 - ieeexplore.ieee.org
This paper reviews the provisions of 3rd Generation Partnership Project (3GPP) Release 16
as it affects Industrial Internet of Things and mission critical communications with a view to …

Iot-based vibration sensor data collection and emergency detection classification using long short term memory (lstm)

CI Nwakanma, FB Islam, MP Maharani… - … in Information and …, 2021 - ieeexplore.ieee.org
In this paper, we used a vibration sensor known as G-Link 200 to collect real time vibration
data. The sensor is connected through the internet gateway and Long Short Term Memory …

IoT-based HVAC monitoring system for smart factory

FB Islam, CI Nwakanma, DS Kim… - … on Information and …, 2020 - ieeexplore.ieee.org
This paper presents an Internet of Things (IoT) Based HVAC monitoring platform for smart
factory. A system model of energy-efficient Heating, Ventilation and Air Conditioning (HVAC) …

[PDF][PDF] Identifying Challenges of Internet of Things on Construction Projects Using Fuzzy Approach.

B Amade, CI Nwakanma - Journal of Engineering, Project & …, 2021 - academia.edu
This study presents a fuzzy decision-making trial and evaluation laboratory (DEMATEL)
analysis of the internet challenges of the internet of things (IoT) implementation of …

[PDF][PDF] XGBoost for Imbalanced Multiclass Classification-Based Industrial Internet of Things Intrusion Detection Systems. Sustainability 2022, 14, 8707

TTH Le, YE Oktian, H Kim - 2022 - researchgate.net
The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …

[PDF][PDF] Deep learning based network intrusion detection for industrial internet of things

FB Islam, R Akter, DS Kim… - 한국통신학회 …, 2020 - journal-home.s3.ap-northeast-2 …
This paper represents a deep learning model dependent on anomaly detection techniques
for malicious discovery in network traffic configuration assembled from TCP/IP packets. Four …

[PDF][PDF] RESEARCH ON IIOT SECURITY: NOVEL MACHINE LEARNING-BASED INTRUSION DETECTION USING TCP/IP PACKETS

N Agarwal, R Pandey, S Rajagopal - Proceedings on Engineering, 2023 - pesjournal.net
ABSTRACT The Industrial Internet of Things (IIoT) explosive expansion has raised questions
regarding the safety of industrial systems. Networks like these are crucially protected from a …

[引用][C] PureParking: A Decentralized, Secure Framework for Parking Space Sharing using Blockchain

AM Tayeb, MM Alam, MA Khatun, M Golam… - 한국통신학회학술대회 …, 2024 - dbpia.co.kr
The rapid urbanization and population growth in urban areas have led to a higher need for
transportation services. With the rise in transportation numbers and frequent usage, it has …

[引用][C] Activity Pattern Recognition using Machine Learning Classifier for IoT-enabled Smart Home

FB Islam, CI Nwakanma, MP Maharani… - 한국통신학회학술대회 …, 2020 - dbpia.co.kr
This paper presents a classification analysis based on Machine Learning (ML) algorithms for
recognizing jumping activity in smart home scenario. These activities are captured by …