CNN-IDS: convolutional neural network for network intrusion detection system

AH Halbouni, TS Gunawan, M Halbouni… - … on Wireless and …, 2022 - ieeexplore.ieee.org
The field of information technology is undergoing a global revolution; information is
exchanged globally. Such action requires the existence of an effective data and network …

Enhanced IoT based Approach to provide Secured System

RMD Charaan, SA James, DA Kumar… - 2022 International …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) is a new generation of linked technologies that makes use of a
variety of networks to give intelligent services to end users. It is based on different networks …

Implementation of network intrusion detection system using artificial intelligence: Survey

PR Maidamwar, MM Bartere, PP Lokulwar - Proceedings of the 2nd …, 2022 - Springer
Abstract The Internet of Things (IoT) comprises of billions of individuals, things and
amenities having the capacity to collaborate with one another and their background. This …

A comprehensive survey on various machine learning methods used for intrusion detection system

AR bhai Gupta, J Agrawal - 2020 IEEE 9th International …, 2020 - ieeexplore.ieee.org
With the advance in technology, now a day's cyber-attack is more sophisticated which is not
easily detected by the any intrusion detection system (IDS). Since most of the user store their …

[HTML][HTML] Towards an effective deep learning-based intrusion detection system in the internet of things

BM Pampapathi, N Guptha, MS Hema - Telematics and Informatics Reports, 2022 - Elsevier
Abstract Distributed Sensor Networks play a vital role in the day-to-day world of computing
applications, from the cloud to the Internet of Things (IoT). These computing applications …

Mcids-multi classifier intrusion detection system for iot cyber attack using deep learning algorithm

S Singh, SV Fernandes… - … and Virtual Mobile …, 2021 - ieeexplore.ieee.org
The massive increase in development, deployment and usage of IoT has given rise to smart
cities. These smart city devices have the ability to perform communications on their own …

A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification

S Kabir, S Sakib, MA Hossain, S Islam… - 2021 International …, 2021 - ieeexplore.ieee.org
Technological developments in today's world have tied our financial, social and other facets
of life to the Internet, expanding into our transportation, home appliances and more device …

[HTML][HTML] HDLNIDS: hybrid deep-learning-based network intrusion detection system

EUH Qazi, MH Faheem, T Zia - Applied Sciences, 2023 - mdpi.com
Attacks on networks are currently the most pressing issue confronting modern society.
Network risks affect all networks, from small to large. An intrusion detection system must be …

Investigation of machine learning techniques in intrusion detection system for IoT network

SSS Sugi, SR Ratna - 2020 3rd international conference on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) combines the internet and physical objects to transfer information
among the objects. In the emerging IoT networks, providing security is the major issue. IoT …

[PDF][PDF] Long short-term memory (LSTM) deep learning method for intrusion detection in network security

S Shende, S Thorat - International Journal of Engineering Research …, 2020 - academia.edu
Nowadays, large numbers of people were affected by data infringes and cyber-attacks due
to dependency on internet. India is lager country for any resource use or consumer. Over the …