[PDF][PDF] Decision Analytics Journal

A Arshad, M Jabeen, S Ubaid, A Raza, L Abualigah… - researchgate.net
The growing number of connected Internet of Things (IoT) devices has led to the daily
growth of network botnet attacks. The networks of compromised devices controlled by a …

[PDF][PDF] Towards Robust IDSs: An Integrated Approach of Hybrid Feature Selection and Machine Learning

M Al-Omari, QA Al-Haija - jisis.org
Due to the rapid growth of technology, the urgency for effective cybersecurity systems has
become increasingly critical, notably within the paradigm of the Internet of Things (IoT) and …

Unmasking the Botnet Attacks: A Hybrid Deep Learning Approach Check for updates

PN Nayan, M Mahajabin, A Rahman… - Smart Trends in … - books.google.com
As IoT devices become more integrated, potential risks and vulnerabilities increase. To
protect IoT networks, robust security measures are needed. However, current security lacks …

Detecting Botnets Using Hidden Markov Model, Profile Hidden Markov Model and Network Flow Analysis

R Mannikar - 2023 - scholarworks.sjsu.edu
Botnet is a network of infected computer systems called bots managed remotely by an
attacker using bot controllers. Using distributed systems, botnets can be used for large-scale …

Machine learning models for IoT botnet attack detection

V Shankar, NR Sangepu, N Gayathri… - Artificial Intelligence and … - taylorfrancis.com
A rapid development of Internet of Things (IoT) devices is currently connected to the network,
and as a result of technological advancements, security vulnerabilities and cyberattacks …

[PDF][PDF] Securing the Internet of Things: A Random Forest Classifier Approach for Detecting and Mitigating Botnet Attacks on IoT Devices

ES Kumar, MA Reddy, K Rakesh, B Anusha… - ijarst.in
Abstract The Internet of Things (IoT) has witnessed significant growth with the proliferation of
connected devices in various domains. However, this rapid expansion has also led to an …