Enhancing intrusion detection in iot communications through ml model generalization with a new dataset (idsai)
GP Fernando, AAH Brayan, AM Florina… - IEEE …, 2023 - ieeexplore.ieee.org
One of the fields where Artificial Intelligence (AI) must continue to innovate is computer
security. The integration of Wireless Sensor Networks (WSN) with the Internet of Things (IoT) …
security. The integration of Wireless Sensor Networks (WSN) with the Internet of Things (IoT) …
Passive rule-based approach to detect sinkhole attack in RPL-based internet of things networks
S Al-Sarawi, M Anbar, BA Alabsi, MA Aladaileh… - IEEE …, 2023 - ieeexplore.ieee.org
An Internet of Things (IoT) refers to a network of smart devices that enable data collection
and exchange. RPL is a protocol specifically designed for IPv6 over Low Power Wireless …
and exchange. RPL is a protocol specifically designed for IPv6 over Low Power Wireless …
OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems
SSN Chintapalli, SP Singh, J Frnda, PB Divakarachari… - Heliyon, 2024 - cell.com
Abstract Currently, the Internet of Things (IoT) generates a huge amount of traffic data in
communication and information technology. The diversification and integration of IoT …
communication and information technology. The diversification and integration of IoT …
OPSMOTE-ML: an optimized SMOTE with machine learning models for selective forwarding attack detection in low power and lossy networks of internet of things
Abstract The Internet of Things represents a rapidly evolving networking paradigm that
brings numerous benefits through its diverse applications. Advances in embedded system …
brings numerous benefits through its diverse applications. Advances in embedded system …
Optimized Ensemble Learning Models Based on Clustering and Hybrid Deep Learning for Wireless Intrusion Detection
P Pitchandi, M Nivaashini, RK Grace - IETE Journal of Research, 2024 - Taylor & Francis
Machine learning (ML) and deep learning (DL) are used in numerous fields, particularly to
develop effective intrusion detection systems (IDS). Existing wireless network IDS, which rely …
develop effective intrusion detection systems (IDS). Existing wireless network IDS, which rely …
A feed forward deep neural network model using feature selection for cloud intrusion detection system
HS Sharma, KJ Singh - Concurrency and Computation …, 2024 - Wiley Online Library
The rapid advancement and growth of technology have rendered cloud computing services
indispensable to our activities. Threats and intrusions have since multiplied exponentially …
indispensable to our activities. Threats and intrusions have since multiplied exponentially …
Intrusion detection system using metaheuristic fireworks optimization based feature selection with deep learning on Internet of Things environment
T Jayasankar, R Kiruba Buri… - Journal of …, 2024 - Wiley Online Library
Abstract Internet of Things (IoT), cloud computing, and other significant advancements in
communication have created new security challenges. Due to these advancements and the …
communication have created new security challenges. Due to these advancements and the …
Enhancing Intrusion Detection in IoT Communications Through ML Model Generalization With a New Dataset (IDSAI)
F Gutierrez Portela, HB Arteaga Arteaga… - 2023 - repository.ucc.edu.co
Uno de los campos en los que la Inteligencia Artificial (IA) debe seguir innovando es la
seguridad informática. La integración de las Redes Inalámbricas de Sensores (WSN) con el …
seguridad informática. La integración de las Redes Inalámbricas de Sensores (WSN) con el …