[PDF][PDF] Network Intrusion Detection Model Using Fused Machine Learning Technique.

FM Alotaibi - Computers, Materials & Continua, 2023 - cdn.techscience.cn
With the progress of advanced technology in the industrial revolution encompassing the
Internet of Things (IoT) and cloud computing, cyberattacks have been increasing rapidly on …

[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 …

A fused machine learning approach for intrusion detection system

MS Farooq, S Abbas, K Sultan, MA Atta-ur-Rahman… - 2023 - scholarworks.bwise.kr
The rapid growth in data generation and increased use of computer network devices has
amplified the infrastructures of internet. The interconnec-tivity of networks has brought …

[PDF][PDF] A Novel Approach Using Deep Learning for Network Based Intrusion Detection System

RK Javed, N Ayub, M Shiraz - 2020 - researchgate.net
In this digitalized world, the most prominent technology Internet of Things (IoT) has emerged
that cause massive growth in network traffic. At the same time, intrusion threats have …

[PDF][PDF] Hybrid CNN+ LSTM Deep Learning Model for Intrusions Detection Over IoT Environment

TN Ghorsad, AV Zade - International Journal on Recent and Innovation Trends … - core.ac.uk
The connectivity of devices through the internet plays a remarkable role in our daily lives.
Many network-based applications are utilized in different domains, eg, health care, smart …

A hybrid machine learning method for intrusion detection

C Meinel, M Ghasemzadeh, HR Hemati - International Journal of Engineering, 2016 - ije.ir
Data security is an important area of concern for every computer system owner. An intrusion
detection system is a device or software application that monitors a network or systems for …

[PDF][PDF] Predictive Model for Network Intrusion Detection System Using Deep Learning.

VPK Sistla, VKK Kolli, LK Voggu, R Bhavanam… - Rev. d'Intelligence …, 2020 - academia.edu
Accepted: 5 May 2020 Given the recent COVID-19 situation, many organizations and
companies have asked their employees to work from home by connecting to their on …

Internet of Things: A Survey on Fused Machine Learning-Based Intrusion Detection Approaches

P Gupta, L Yadav, DS Tomar - Advanced Machine Intelligence and Signal …, 2022 - Springer
Abstract The Internet of Things (IoT) connects billions of interconnected devices that can
exchange information with each other with minimal user intervention. The goal of IoT is to …

[HTML][HTML] A hybrid feature weighted attention based deep learning approach for an intrusion detection system using the random forest algorithm

A Hashmi, OM Barukab, A Hamza Osman - Plos one, 2024 - journals.plos.org
Due to the recent advances in the Internet and communication technologies, network
systems and data have evolved rapidly. The emergence of new attacks jeopardizes network …

Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions

AR Khan, M Kashif, RH Jhaveri, R Raut… - Security and …, 2022 - Wiley Online Library
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …