[HTML][HTML] Cybersecurity threats and their mitigation approaches using Machine Learning—A Review

M Ahsan, KE Nygard, R Gomes… - … of Cybersecurity and …, 2022 - mdpi.com
Machine learning is of rising importance in cybersecurity. The primary objective of applying
machine learning in cybersecurity is to make the process of malware detection more …

[HTML][HTML] A new ensemble-based intrusion detection system for internet of things

A Abbas, MA Khan, S Latif, M Ajaz, AA Shah… - Arabian Journal for …, 2022 - Springer
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …

[HTML][HTML] Feature selection and ensemble-based intrusion detection system: an efficient and comprehensive approach

E Jaw, X Wang - Symmetry, 2021 - mdpi.com
The emergence of ground-breaking technologies such as artificial intelligence, cloud
computing, big data powered by the Internet, and its highly valued real-world applications …

Feature extraction and artificial intelligence-based intrusion detection model for a secure internet of things networks

JB Awotunde, S Misra - Illumination of artificial intelligence in cybersecurity …, 2022 - Springer
Security has been a concern in recent years, especially in the Internet of Things (IoT) system
environment, where security and privacy are of great importance. Our lives have significantly …

Deep Federated Learning-Based Threat Detection Model for Extreme Satellite Communications

S Salim, N Moustafa, M Hassanian… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Satellite communications (Satcoms), whether ground-to-space or intersatellite, have, to date,
primarily combined the two cutting-edge fields of communication and space, in which …

[HTML][HTML] A novel hybrid-based approach of snort automatic rule generator and security event correlation (SARG-SEC)

E Jaw, X Wang - PeerJ Computer Science, 2022 - peerj.com
The rapid advanced technological development alongside the Internet with its cutting-edge
applications has positively impacted human society in many aspects. Nevertheless, it …

[PDF][PDF] Enhancing Network Intrusion Detection Model Using Machine Learning Algorithms.

NA Awad - Computers, Materials & Continua, 2021 - cdn.techscience.cn
After the digital revolution, large quantities of data have been generated with time through
various networks. The networks have made the process of data analysis very difficult by …

[HTML][HTML] Detection of anomalies in large-scale cyberattacks using fuzzy neural networks

PV de Campos Souza, AJ Guimarães, TS Rezende… - AI, 2020 - mdpi.com
The fuzzy neural networks are hybrid structures that can act in several contexts of the pattern
classification, including the detection of failures and anomalous behaviors. This paper …

A survey on machine learning approaches for developing intrusion detection system

PR Maidamwar, MM Bartere… - Proceedings of the …, 2021 - papers.ssrn.com
Artificial Intelligence is a cutting edge and profoundly modern technological application
which has being recently used methodologies in the industry. This approach is inescapable …

[HTML][HTML] Effective Feature Engineering Framework for Securing MQTT Protocol in IoT Environments

A Al Hanif, M Ilyas - Sensors, 2024 - mdpi.com
The explosive growth of the domain of the Internet of things (IoT) network devices has
resulted in unparalleled ease of productivity, convenience, and automation, with Message …