A review on machine learning based intrusion detection system for internet of things enabled environment.

NS Gill, P Gulia - International Journal of Electrical & …, 2024 - search.ebscohost.com
Within an internet of things (IoT) environment, the fundamental purpose of various devices is
to gather the abundant amount of data that is being generated and then transmit this data to …

Deep learning-driven intrusion detection systems for smart cities-a systematic study

R Chinnasamy, S Malliga… - 6th Smart Cities …, 2022 - ieeexplore.ieee.org
The technological advancement in internet and communication systems of a smart city
makes the cyber security a big gainsay. Eventually, securing the smart city objects is of …

A Probabilistic and Distributed Validation Framework Based on Blockchain for Artificial Intelligence of Things

H Bao, Y Zhao, X Zhang, G Wang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Artificial Intelligence of Things (AIoT) applications have advanced rapidly. However, most of
them are inherently vulnerable to security threats and may be the source of spoofing attacks …

Anomaly-based intrusion detection system for IoT networks with improved data engineering

AA Alsulami, QA Al-Haija, A Tayeb - 2022 - preprints.org
Abstract Nowadays, the Internet of Things (IoT) devices and applications have rapidly
expanded worldwide due to their benefits in improving the business environment, industrial …

Intrusion Detection System in IoT Network by using Metaheuristic Algorithm with Machine Learning Dimensional Reduction Technique

C Anusha, A Sravani, J Anusha… - … and Networks (ICAN …, 2022 - ieeexplore.ieee.org
The network security is a main problem in any disseminated framework. To providing the
safe and secure network we have been proposed anomaly detection system against from …

Adaptive Learning in IoT-Based Smart City Applications

N Abdulla, S Demirci, M Demirci… - … and Applications of …, 2024 - igi-global.com
Internet of things (IoT) based smart city applications rely on constant data collection and
accurate data analytics, yet the fast-changing nature of such data often causes the …

[PDF][PDF] Testbeds and evaluation frameworks for anomaly detection within built environments: A systematic review

M Alosaimi, O Rana, C Perera - 2023 - orca.cardiff.ac.uk
ABSTRACT active in exchanging communication and data. IoT devices cannot enforce
advanced security mechanisms to protect themselves from cyberattacks. Furthermore, IoT …

A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection In IOT

RN Kamath, A Amrutha, S Jangirala… - … Algorithms and Soft …, 2023 - ieeexplore.ieee.org
Any device that can connect to the Internet and gather and transmit data is considered a"
Internet of Things" device. As Internet connections have increased and new technologies …

[PDF][PDF] Meticulously Intelligent Identification System for Smart Grid Network Stability to Optimize Risk Management. Energies 2021, 14, 6935

Q Abu Al-Haija, AA Smadi, MF Allehyani - 2021 - academia.edu
The heterogeneous and interoperable nature of the cyber-physical system (CPS) has
enabled the smart grid (SG) to operate near the stability limits with an inconsiderable …

Enhancing Industrial Internet of Things Network Security: An Extensive Investigation on Sophisticated Feature Selection and Reduction Methods Using Machine …

A Houkan, AK Sahoo, SP Gochhayat - Available at SSRN 4846029 - papers.ssrn.com
The proliferation of Internet of Things devices has raised serious cybersecurity issues,
leading to the need for robust intrusion detection systems, as well as feature reduction and …