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Menampilkan 1–4 dari 4 artikel
A Comparative Analysis of Supervised Machine Learning Algorithms for IoT Attack Detection and Classification
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
The proliferation of Internet of Things (IoT) devices has introduced significant security challenges, necessitating robust attack detection mechanisms. This study presents a comprehensive comparative analysis of ten supervised learning algorithms for IoT attack detection and classification, addressing the critical challenge of balancing detection accuracy with practical deployment constraints. Using the CICIoT2023 dataset, encompassing data from 105 IoT devices and 33 attack types, we evaluate N...
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A Comprehensive Approach to Protocols and Security in Internet of Things Technology
Journal of Computing Theories and Applications
Vol 2
, No 3
(2024)
The exponential growth of the Internet of Things (IoT) introduces a multitude of security challenges, as a vast number of connected devices often operate with inadequate protection measures. This vulnerability heightens the risk of cyberattacks, data breaches, and hacking, exposing systems and sensitive information to increased threats. Ensuring security in the IoT ecosystem while considering this rapidly expanding technology's physical limitations and specific requirements is a complex task. Th...
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Analyzing the Efficiency of Battery Storage Systems in Renewable Energy Grids
International Journal of Electrical Engineering, Mathematics and Computer Science
Vol 1
, No 2
(2024)
Battery storage systems are essential for stabilizing renewable energy grids, especially for sources like solar and wind power that are inherently variable. This study evaluates various battery technologies and their effectiveness in storing and redistributing energy within renewable energy grids. Through simulations and analysis of performance metrics, the study offers insights into optimal operating conditions for different battery types, highlighting their role in enabling sustainable and sta...
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Assessing the Effectiveness of Peer-Mentoring Programs on Academic Persistence and Dropout Rates in Vocational High Schools
International Journal of Education and Social Sciences
Vol 1
, No 2
(2024)
This study explores the impact of peer-mentoring programs on vocational high school (SMK) students, focusing on academic resilience, dropout rates, and overall academic performance. The research compares the outcomes of students in schools with and without peer-mentoring programs. The findings indicate that students participating in peer mentoring exhibited significantly lower dropout rates (12%) compared to those in the control group (22%). Additionally, the continuation rate for students in th...
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