[PDF][PDF] Machine Learning Based Cybersecurity Threat Detection for Secure IoT Assisted Cloud Environment.

ZF Khan, SM Alshahrani, AA Alghamdi… - Comput. Syst. Sci …, 2023 - cdn.techscience.cn
The Internet of Things (IoT) is determine enormous economic openings for industries and
allow stimulating innovation which obtain between domains in childcare for eldercare, in …

[PDF][PDF] Automated Machine Learning Enabled Cybersecurity Threat Detection in Internet of Things Environment.

F Alrowais, S Althahabi, SS Alotaibi… - … Systems Science & …, 2023 - academia.edu
Recently, Internet of Things (IoT) devices produces massive quantity of data from distinct
sources that get transmitted over public networks. Cybersecurity becomes a challenging …

[PDF][PDF] Review on hybrid extreme learning machine and genetic algorithm to work as intrusion detection system in cloud computing

MH Ali, MF Zolkipli - vol, 2016 - academia.edu
Today security is a major challenge, many tools provided in this issue of instant firewall and
intrusion-detection system (IDS). IDS is one of the powerful tools in the security. IDS works …

[HTML][HTML] Internet of things intrusion detection model and algorithm based on cloud computing and multi-feature extraction extreme learning machine

H Lin, Q Xue, J Feng, D Bai - Digital Communications and Networks, 2023 - Elsevier
With the rapid development of the Internet of Things (IoT), there are several challenges
pertaining to security in IoT applications. Compared with the characteristics of the traditional …

[PDF][PDF] IOT SECURITY AND THE ROLE OF AI/ML TO COMBAT EMERGING CYBER THREATS IN CLOUD COMPUTING ENVIRONMENT.

TG Zewdie, A Girma - Issues in Information Systems, 2020 - researchgate.net
ABSTRACT Internet of Things (IoT) has become one of the cutting-edge technologies and
an attractive area of interest for the research world, and economically attractive for the …

An improved LDA-based ELM classification for intrusion detection algorithm in IoT application

D Zheng, Z Hong, N Wang, P Chen - Sensors, 2020 - mdpi.com
The Internet of Things (IoT) is widely applied in modern human life, eg, smart home and
intelligent transportation. However, it is vulnerable to malicious attacks, and the current …

Deep learning approach for intrusion detection in IoT-multi cloud environment

D Selvapandian, R Santhosh - Automated Software Engineering, 2021 - Springer
The possibility of connecting billions of smart end devices in the Internet of Things (IoT)
provides wide range of services to the user. But, the unlimited connectivity of devices in IoT …

Cyber security threats detection in internet of things using deep learning approach

F Ullah, H Naeem, S Jabbar, S Khalid, MA Latif… - IEEE …, 2019 - ieeexplore.ieee.org
The IoT (Internet of Things) connect systems, applications, data storage, and services that
may be a new gateway for cyber-attacks as they continuously offer services in the …

Enhanced Intrusion Detection in IoT with a Novel PRBF Kernel and Cloud Integration

B Mopuru, Y Pachipala - Engineering, Technology & Applied Science …, 2024 - etasr.com
The proliferation of Internet of Things (IoT) devices in various sectors has increased the
need for robust security solutions capable of addressing complex network vulnerabilities …

Enhancing Cloud-Based Security: A Novel Approach for Efficient Cyber-Threat Detection Using GSCSO-IHNN Model

D Ramachandran, M Albathan, A Hussain, Q Abbas - Systems, 2023 - mdpi.com
Developing a simple and efficient attack detection system for ensuring the security of cloud
systems against cyberthreats is a crucial and demanding process in the present time. In …