IoT intrusion detection using machine learning with a novel high performing feature selection method

K Albulayhi, Q Abu Al-Haija, SA Alsuhibany… - Applied Sciences, 2022 - mdpi.com
The Internet of Things (IoT) ecosystem has experienced significant growth in data traffic and
consequently high dimensionality. Intrusion Detection Systems (IDSs) are essential self …

[HTML][HTML] A stacking ensemble of deep learning models for IoT intrusion detection

R Lazzarini, H Tianfield, V Charissis - Knowledge-Based Systems, 2023 - Elsevier
The number of Internet of Things (IoT) devices has increased considerably in the past few
years, which resulted in an exponential growth of cyber attacks on IoT infrastructure. As a …

[图书][B] Strategizing AI in business and education: Emerging technologies and business strategy

A Przegalinska, D Jemielniak - 2023 - cambridge.org
This Element proposes a clear and up-to-date description of the state of artificial intelligence
today, not only in terms of business processes and strategies, but also its societal reception …

RepuTE: A soft voting ensemble learning framework for reputation-based attack detection in fog-IoT milieu

R Verma, S Chandra - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The impetuous expansion of the Internet of Things (IoT) network has resulted in a noticeable
increase in the production of sensitive user data. With this, to meet the demand for real-time …

[PDF][PDF] Cyber defense in the age of artificial intelligence and machine learning for financial fraud detection application

B Narsimha, CV Raghavendran, P Rajyalakshmi… - IJEER, 2022 - ijeer.forexjournal.co.in
░ ABSTRACT-Cyber security comes with a combination of various security policies, AI
techniques, network technologies that work together to protect various computing resources …

Securing transactions: A hybrid dependable ensemble machine learning model using iht-lr and grid search

MA Talukder, R Hossen, MA Uddin, MN Uddin… - arXiv preprint arXiv …, 2024 - arxiv.org
Financial institutions and businesses face an ongoing challenge from fraudulent
transactions, prompting the need for effective detection methods. Detecting credit card fraud …

Efficient, lightweight cyber intrusion detection system for IoT ecosystems using mi2g algorithm

S Kaushik, A Bhardwaj, A Alomari, S Bharany… - Computers, 2022 - mdpi.com
The increase in internet connectivity has led to an increased usage of the Internet of Things
(IoT) and devices on the internet. These IoT devices are becoming the backbone of Industry …

Towards A Sustainable and Ethical Supply Chain Management: The Potential of IoT Solutions

H Sharma, R Garg, H Sewani, R Kashef - arXiv preprint arXiv:2303.18135, 2023 - arxiv.org
Globalization has introduced many new challenges making Supply chain management
(SCM) complex and huge, for which improvement is needed in many industries. The Internet …

Meta-Learner-Based Approach for Detecting Attacks on Internet of Things Networks

SDA Rihan, M Anbar, BA Alabsi - Sensors, 2023 - mdpi.com
The significant surge in Internet of Things (IoT) devices presents substantial challenges to
network security. Hackers are afforded a larger attack surface to exploit as more devices …

Utilizing GANs for Credit Card Fraud Detection: A Comparison of Supervised Learning Algorithms

B Alshawi - Engineering, Technology & Applied Science Research, 2023 - etasr.com
The evolution and improvements in electronic commerce and communications around the
world have stimulated credit card use. With the support of smartphone wallets, electronic …