[PDF][PDF] Deep learning algorithms for intrusion detection systems in internet of things using CIC-IDS 2017 dataset

J Jose, DV Jose - International Journal of Electrical and Computer …, 2023 - academia.edu
Due to technological advancements in recent years, the availability and usage of smart
electronic gadgets have drastically increased. Adoption of these smart devices for a variety …

Intrusion detection system using deep neural networks (DNN)

VK Navya, J Adithi, D Rudrawal… - … on Advancements in …, 2021 - ieeexplore.ieee.org
Intrusions are quite a frequent scare especially with the exponential growth in improvement
of technology. This project aims to detect such intrusions using certain algorithms in the …

A comprehensive survey for machine learning and deep learning applications for detecting intrusion detection

OM Surakhi, AM García, M Jamoos… - … Arab Conference on …, 2021 - ieeexplore.ieee.org
The rapid development in computer network and internet have resulted in increased
corresponding data and network attacks. Many novels and improvement technologies have …

A performance comparison of machine learning approaches on intrusion detection dataset

VS Manvith, RV Saraswathi… - 2021 Third International …, 2021 - ieeexplore.ieee.org
The network is a prominent aspect of communication. The network facilitates devices to
exchange information between individuals and led to massive growth in the networking field …

A review on deep learning method for intrusion detection in network security

S Shende, S Thorat - 2020 2nd International Conference on …, 2020 - ieeexplore.ieee.org
In recent past, the evolution of enormous communication and many internet applications are
run on the top of internet by considering cyber security as the important parameter …

A survey on Deep Learning based Intrusion Detection Systems on Internet of Things

ST Slevi, P Visalakshi - 2021 Fifth International Conference on I …, 2021 - ieeexplore.ieee.org
The integration of IDS and Internet of Things (IoT) with deep learning plays a significant role
in safety. Security has a strong role to play. Application of the IoT network decreases the time …

[PDF][PDF] Intrusion detection in the Internet of Things using fusion of GRU-LSTM deep learning model

MS Al-kahtani, Z Mehmood, T Sadad… - … Automation & Soft …, 2023 - researchgate.net
Cybersecurity threats are increasing rapidly as hackers use advanced techniques. As a
result, cybersecurity has now a significant factor in protecting organizational limits. Intrusion …

A survey on deep learning based intrusion detection system

M Uğurlu, İA Doğru - 2019 4th International Conference on …, 2019 - ieeexplore.ieee.org
Although new technologies bring a lot of convenience to our lives, there are new problems
in the field of cyber security. People use many critical applications such as e-commerce, e …

Advanced intrusion detection using deep learning-LSTM network on cloud environment

P Jisna, T Jarin, PN Praveen - 2021 Fourth International …, 2021 - ieeexplore.ieee.org
Cloud Computing is a favored choice of any IT organization in the current context since that
provides flexibility and pay-per-use service to the users. Moreover, due to its open and …

A comparative study on various intrusion detection techniques using machine learning and neural network

V Bhatia, S Choudhary… - 2020 8th International …, 2020 - ieeexplore.ieee.org
Security is of great concern these days as a large amount of data is being transmitted every
hour in each domain. This paper provides an explained survey on the prevention and …