Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy

D Soni, N Kumar - Journal of Network and Computer Applications, 2022 - Elsevier
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review

Y Ali, HU Khan, M Khalid - Journal of Big Data, 2023 - Springer
Abstract Internet of Things (IoT) driven systems have been sharply growing in the recent
times but this evolution is hampered by cybersecurity threats like spoofing, denial of service …

Hybridizing genetic algorithm and grey wolf optimizer to advance an intelligent and lightweight intrusion detection system for IoT wireless networks

A Davahli, M Shamsi, G Abaei - Journal of Ambient Intelligence and …, 2020 - Springer
Open wireless sensor networks (WSNs) in Internet of things (IoT) has led to many zero-day
security attacks. Since intrusion detection is a key security solution, this paper presents a …

[HTML][HTML] PSI-rooted subgraph: A novel feature for IoT botnet detection using classifier algorithms

HT Nguyen, QD Ngo, DH Nguyen, VH Le - ICT Express, 2020 - Elsevier
It is obvious that IoT devices are widely used more and more in many areas. However, due
to limited resources (eg, memory, CPU), the security mechanisms on many IoT devices such …

The use of multi-task learning in cybersecurity applications: a systematic literature review

S Ibrahim, C Catal, T Kacem - Neural Computing and Applications, 2024 - Springer
Cybersecurity is crucial in today's interconnected world, as digital technologies are
increasingly used in various sectors. The risk of cyberattacks targeting financial, military, and …

Application of deep learning for quality of service enhancement in internet of things: A review

N Kimbugwe, T Pei, MN Kyebambe - Energies, 2021 - mdpi.com
The role of the Internet of Things (IoT) networks and systems in our daily life cannot be
underestimated. IoT is among the fastest evolving innovative technologies that are digitizing …

Federated learning role in big data, jot services and applications security, privacy and trust in jot a survey

S Yarradoddi, TR Gadekallu - Trust, Security and Privacy for Big …, 2022 - taylorfrancis.com
The Internet of things or JOT is a large number of inter connected or interrelated devices that
share data through the internet without manual intervention. The data collected in JOT is …

Genetic algorithm and artificial neural network for network forensic analytics

D Oreški, D Andročec - 2020 43rd International Convention on …, 2020 - ieeexplore.ieee.org
Rapid development of Internet of things (IoT) technologies and their application and
importance within various fields arises security issues. New threats require development of …

[PDF][PDF] A lightweight Anomaly detection model using SVM for WSNs in IoT through a hybrid feature selection algorithm based on GA and GWO

A Davahli, M Shamsi, G Abaei - Journal of Computing and Security, 2020 - jcomsec.ui.ac.ir
As a result of an incredibly fast growth of the number and diversity of smart devices
connectable to the internet, commonly through open wireless sensor networks (WSNs) in …

[PDF][PDF] A secure IoT framework based on blockchain and machine learning

R Shahin, KE Sabri - 2021 - academia.edu
Internet of Things (IoT) network consists of many devices that communicate together and
exchange data. IoT network has many applications especially in smart city and smart …