[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks

YK Saheed, AI Abiodun, S Misra, MK Holone… - Alexandria Engineering …, 2022 - Elsevier
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …

An ensemble learning approach for software defect prediction in developing quality software product

YK Saheed, O Longe, UA Baba, S Rakshit… - Advances in Computing …, 2021 - Springer
Abstract Software Defect Prediction (SDP) is a major research field in the software
development life cycle. The accurate SDP would assist software developers and engineers …

Evaluation of supervised machine learning algorithms for multi-class intrusion detection systems

S Kaddoura, AE Arid, M Moukhtar - Proceedings of the Future …, 2022 - Springer
The increased demand for network security nowadays is becoming a crucial strategy.
Accordingly, a need for intrusion detection system is essential to track cybersecurity attacks …

Enhancing real-time intrusion detection and secure key distribution using multi-model machine learning approach for mitigating confidentiality threats

J Lu, A Bhar, A Sarkar, A Noorwali, KM Othman - Internet of Things, 2024 - Elsevier
Ensuring strong security measures against intrusions is of utmost importance in the ever-
changing field of information management systems. Conventional Intrusion Detection …

Sistem Deteksi Intrusi pada Server secara Realtime Menggunakan Seleksi Fitur dan Firebase Cloud Messaging

F Riza - Jurnal Sistim Informasi Dan Teknologi, 2023 - jsisfotek.org
Intrusion detection is one of the fundamental parts of a security tool, such as adaptive
security tools, intrusion detection systems, intrusion prevention systems and firewalls. There …

[PDF][PDF] Evaluation of Deep Learning and Machine Learning Algorithms in Intrusion Detection Systems

S Alshattnawi - J. Theor. Appl. Inf. Technol, 2023 - jatit.org
The advances in using technologies and the Internet increase the spread of data over the
network. New attacks may be generated to threaten network security and data integrity, in …

Automatic Face Segmentation Using Adaptively Regularized Kernel-Based Fuzzy Clustering Means With Level Set Algorithm

N Patil - International Journal of e-Collaboration (IJeC), 2022 - igi-global.com
In this research, a new level set-based segmentation algorithm was proposed for human
face segmentation. At first, the human facial images were collected from face semantic …

Detection and defense against DDoS attack on SDN controller based on feature selection

Y Xu, Y Liu, JX Ma - International Symposium on Security and Privacy in …, 2022 - Springer
Software-defined networking (SDN) can provide flexible traffic control and is an important
part of the next-generation computer network. Distributed Denial of Service (DDoS) attack …

Intrusion Detection System Using Machine Learning by RNN Method

K Azarudeen, D Ghulam, G Rakesh… - E3S Web of …, 2024 - e3s-conferences.org
As computer networks continue to grow, network intrusions become more frequent,
advanced, and volatile, making it challenging to detect them. This has led to an increase in …

[PDF][PDF] A Comprehensive Survey on Support Vector Machines for Intrusion Detection System.

AS Khanfar, FA Lone, MD Moizuddin - International Journal of …, 2022 - academia.edu
Machine learning is a widely interdisciplinary field centered on theories from cognitive
science, computer science, statistics, optimization and many other theoretical and …