Machine learning based attack detection in Internet of Things network

MR Rafi - 2021 - search.proquest.com
In recent years, Internet of Things (IoT) has grown up rapidly and tremendously. This growth
has brought big and special problems. Two of the urgent topics of problems are security and …

[PDF][PDF] Machine Learning Based Attack Detection in Internet of Things Network

MA Salam, O Kandara - researchgate.net
In recent years, the Internet of Things (IoT) has grown up rapidly and tremendously. This
growth has brought big and special problems. Two of the urgent topics of problems are …

Deep learning models for cyber security in IoT networks

M Roopak, GY Tian, J Chambers - 2019 IEEE 9th annual …, 2019 - ieeexplore.ieee.org
In this paper we propose deep learning models for the cyber security in IoT (Internet of
Things) networks. IoT network is as a promising technology which connects the living and …

AIEMLA: artificial intelligence enabled machine learning approach for routing attacks on internet of things

S Sharma, VK Verma - The Journal of Supercomputing, 2021 - Springer
Abstract The Internet of things (IoT) is emerging as a prime area of research in the modern
era. The significance of IoT in the daily life is increasing due to the increase in objects or …

A survey on attack detection methods for iot using machine learning and deep learning

MR Babu, KN Veena - 2021 3rd International conference on …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) models are getting more complicated day by day with the rising
demand in IoT automated network system. As the devices use wireless medium for …

Effective Detection of DDoS Attack in IoT-Based Networks Using Machine Learning with Different Feature Selection Techniques

A Deep, M Sood - Proceedings of Data Analytics and Management …, 2023 - Springer
Due to its high impact at a low cost of implementation, the Internet of Things (IoT) is being
adopted at an exponential rate for a diverse range of applications based upon Industry 4.0 …

New method based optimized machine learning techniques for attack detection in IoTs

FYI Alhasan - 2022 - openaccess.altinbas.edu.tr
Computer security is any effort to create a secure information processing platform to protect
data or information from unauthorized access while data or information is stored and …

Identifying and Predicting Sinkhole Attacks for Low-Power and Lossy IoT Networks

A Giri, A Goyal, A Kogta, P Jain, P Verma - … Technologies and Virtual …, 2023 - Springer
Routing protocols in the Internet of Things (IoT) are quite vulnerable to attacks by design.
There are various types of the routing attacks like the blackhole attack, selective forwarding …

Classification And Explanation of Different Internet of Things (IoT) Network Attacks Using Machine Learning, Deep Learning And XAI

A Tasnim, N Hossain, S Tabassum, N Parvin - 2022 - dspace.bracu.ac.bd
The internet of things is one of today's most revolutionary technologies. Because of its
pervasiveness, increasing network connection capacity, and diversity of linked items, the …

Rank and wormhole attack detection model for RPL-based internet of things using machine learning

F Zahra, NZ Jhanjhi, SN Brohi, NA Khan, M Masud… - Sensors, 2022 - mdpi.com
The proliferation of the internet of things (IoT) technology has led to numerous challenges in
various life domains, such as healthcare, smart systems, and mission-critical applications …