Intrusion detection in big data using hybrid feature fusion and optimization enabled deep learning based on spark architecture

MP Ramkumar, PVB Reddy, JT Thirukrishna… - Computers & …, 2022 - Elsevier
With the rapid expansion of Internet services and increasing intrusion issues, conventional
intrusion detection techniques cannot work well with several difficult intrusions. Though …

Remora whale optimization-based hybrid deep learning for network intrusion detection using CNN features

SV Pingale, SR Sutar - Expert Systems with Applications, 2022 - Elsevier
Security remains as a key role in this internet world owing to the fast expansion of users on
the internet. Numerous existing intrusion detection approaches were introduced by …

Hybrid Whale Tabu algorithm optimized convolutional neural network architecture for intrusion detection in big data

A Ponmalar, V Dhanakoti - Concurrency and computation …, 2022 - Wiley Online Library
The rate of internet traffic in the digital world has expanded fast due to technological
improvement. Because of the large number of internet users, there is a large volume of …

[HTML][HTML] A new deep-learning with swarm based feature selection for intelligent intrusion detection for the Internet of things

R Anushiya, VS Lavanya - Measurement: Sensors, 2023 - Elsevier
Humanity can benefit from the Internet of Things (IoT) paradigm in many different ways. IoT
devices are nonetheless susceptible to different cyber-attacks launched by the attacker …

A novel optimization based deep learning with artificial intelligence approach to detect intrusion attack in network system

S Siva Shankar, BT Hung, P Chakrabarti… - Education and …, 2024 - Springer
Modern life is increasingly influenced by networks, making cybersecurity a crucial area of
study. However, due to their few resources and varied makeup, they are more vulnerable to …

Hybrid optimization enabled deep learning technique for multi-level intrusion detection

ES GSR, M Azees, CHR Vinodkumar… - … in Engineering Software, 2022 - Elsevier
The intrusion detection system identifies the attack through the reputation and progression of
network methodology and the Internet. Moreover, conventional intrusion recognition …

A novel wide & deep transfer learning stacked GRU framework for network intrusion detection

NB Singh, MM Singh, A Sarkar, JK Mandal - Journal of Information Security …, 2021 - Elsevier
With the increasing frequency, severity and complexity of recent cyber attacks around the
world, network intrusion detection has become mandatory and highly sophisticated task …

Hybrid deep learning model for attack detection in internet of things

H Rekha, M Siddappa - Service Oriented Computing and Applications, 2022 - Springer
Internet of things (IoT) provides a new application, which helps the existing networks
communicate with smart technologies. Things are now becoming increasingly connected to …

A new intrusion detection system for the internet of things via deep convolutional neural network and feature engineering

S Ullah, J Ahmad, MA Khan, EH Alkhammash… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is a widely used technology in automated network systems
across the world. The impact of the IoT on different industries has occurred in recent years …

A hybrid deep learning model for efficient intrusion detection in big data environment

MM Hassan, A Gumaei, A Alsanad, M Alrubaian… - Information …, 2020 - Elsevier
The volume of network and Internet traffic is expanding daily, with data being created at the
zettabyte to petabyte scale at an exceptionally high rate. These can be characterized as big …