SEM: Stacking ensemble meta-learning for IOT security framework

D Mishra, B Naik, PB Dash, J Nayak - Arabian Journal for Science and …, 2021 - Springer
Despite the popularity of the applicability of Internet of Things (IoT) devices in many
applications, security and anomaly detection has always been a rising concern for any …

A Scalable Meta Learning-Based Model to Secure IoT Networks

EH Said, Y Otoum, A Nayak - IEEE Internet of Things Magazine, 2023 - ieeexplore.ieee.org
IoT plays an important role in the field of communication and networking, where there are
huge amounts of useful information being transmitted. However, the high degree of diversity …

A Few-Shot-Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things

C Lu, X Wang, A Yang, Y Liu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Currently, the effective technologies used to protect the security of the Internet of Things (IoT)
include blockchain and intrusion detection systems (IDSs). The traditional IoT IDSs based on …

Lightweight meta-learning botnet attack detection

CA Fadhilla, MD Alfikri, R Kaliski - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Modern society is increasingly dependent on numerous Internet of Things (IoT) devices to
assist in a variety of scenarios, such as smart homes and cities, healthcare systems, and …

Enhancing IoT Security with Federated Deep Learning Techniques

A Muhaimeen, K Aadithiyaprasana… - 2023 8th …, 2023 - ieeexplore.ieee.org
In addition to the most recent advances in machine learning-based IoT security techniques,
Machine learning algorithms can learn from data and adapt to new security risks, allowing …

BoostedEnML: Efficient technique for detecting cyberattacks in IoT systems using boosted ensemble machine learning

OD Okey, SS Maidin, P Adasme, R Lopes Rosa… - Sensors, 2022 - mdpi.com
Following the recent advances in wireless communication leading to increased Internet of
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …

Machine Learning Methods of IoT Security and Future Application: Machine Learning Methods of IoT Security and Future Application

A Ali, S Naeem, S Anam, MM Ahmed - Proceedings of the Pakistan …, 2022 - ppaspk.org
One of the technologies that are now expanding rapidly is called the Internet of Things (IoT).
It is a technology that enables billions of smart devices or things, collectively referred to as …

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 …

An analysis of IoT cyber security driven by machine learning

S Strecker, W Van Haaften, R Dave - Proceedings of International …, 2021 - Springer
Since the beginning of the Internet of Things (IoT), the number of IoT devices connected to
the Internet has grown rapidly. However, many IoT devices lack the security standards that …

[PDF][PDF] Cyber Attack Detection Using Machine Learning Techniques in IoT Networks

M Farooq, MH Khan - … Journal of Innovative Research in Computer …, 2024 - researchgate.net
The Internet of Things is a rapidly emerging technology (IoT). Thanks to numerous sensors,
billions of smart objects (referred to as" Things") may acquire data about themselves and …