Towards a universal features set for IoT botnet attacks detection

F Hussain, SG Abbas, UU Fayyaz… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
The security pitfalls of IoT devices make it easy for the attackers to exploit the IoT devices
and make them a part of a botnet. Once hundreds of thousands of IoT devices are …

Using ensemble learning technique for detecting botnet on IoT

A Rezaei - SN Computer Science, 2021 - Springer
Despite the growing reputation and the ubiquitous nature of the IoT, it poses significant
challenges as it is also considered a convenient platform for cyberattacks. The connection of …

A collaborative approach to early detection of IoT Botnet

GL Nguyen, B Dumba, QD Ngo, HV Le… - Computers & Electrical …, 2022 - Elsevier
With the rapid growth of threats and diversity in the manner of attack, Internet of things (IoT)
systems has major challenges in providing methods to detect security vulnerabilities and …

[HTML][HTML] IoTDS: A one-class classification approach to detect botnets in Internet of Things devices

VH Bezerra, VGT da Costa, S Barbon Junior, RS Miani… - Sensors, 2019 - mdpi.com
Internet of Things (IoT) devices have become increasingly widespread. Despite their
potential of improving multiple application domains, these devices have poor security, which …

An efficient framework for detection and classification of iot botnet traffic

S Maurya, S Kumar, U Garg, M Kumar - ECS Sensors Plus, 2022 - iopscience.iop.org
Abstract The Internet of Things (IoT) has become an integral requirement to equip common
life. According to IDC, the number of IoT devices may increase exponentially up to a trillion …

[HTML][HTML] A novel hybrid autoencoder and modified particle swarm optimization feature selection for intrusion detection in the internet of things network

YK Saheed, AA Usman, FD Sukat… - Frontiers in Computer …, 2023 - frontiersin.org
The Internet of Things (IoT) represents a paradigm shift in which the Internet is connected to
real objects in a range of areas, including home automation, industrial processes, human …

[HTML][HTML] A new deep-learning with swarm based feature selection for intelligent intrusion detection for the Internet of things

R Anushiya, VS Lavanya - Measurement: Sensors, 2023 - Elsevier
Humanity can benefit from the Internet of Things (IoT) paradigm in many different ways. IoT
devices are nonetheless susceptible to different cyber-attacks launched by the attacker …

A lightweight energy consumption ensemble-based botnet detection model for IoT/6G networks

J Zhou, T Hai, DNA Jawawi, D Wang… - Sustainable Energy …, 2023 - Elsevier
The potential for significant damage to an enterprise network by an intruder or cybercriminal
wielding a botnet is substantial. Such malicious actors actively scan vulnerable connected …

The detection of IoT botnet using machine learning on IoT-23 dataset

F Jeelani, DS Rai, A Maithani… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
As smart devices and the Internet develop; the Internet of Things (IoT) technologies have
become an important factor in our life. IoT helps manufactory companies to monitor the …

Designing accurate lightweight intrusion detection systems for IoT networks using fine-tuned linear SVM and feature selectors

J Azimjonov, T Kim - Computers & Security, 2024 - Elsevier
Intrusion detection systems (IDSs) play a crucial role in ensuring the security and integrity of
Internet of Things (IoT) networks by blocking unwanted packets and facilitating secure traffic …