The sound of intrusion: A novel network intrusion detection system

MY Aldarwbi, AH Lashkari, AA Ghorbani - Computers and Electrical …, 2022 - Elsevier
A network intrusion detection system is an essential part of network security research. It
detects intrusion behaviors through active defense technology and takes emergency …

[PDF][PDF] DeepIoT. IDS: Hybrid deep learning for enhancing IoT network intrusion detection

ZK Maseer, R Yusof, SA Mostafa, N Bahaman… - Comput. Mater …, 2021 - eprints.utm.my
With an increasing number of services connected to the internet, including cloud computing
and Internet of Things (IoT) systems, the prevention of cyberattacks has become more …

Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

A Aldweesh, A Derhab, AZ Emam - Knowledge-Based Systems, 2020 - Elsevier
The massive growth of data that are transmitted through a variety of devices and
communication protocols have raised serious security concerns, which have increased the …

A multi-task based deep learning approach for intrusion detection

Q Liu, D Wang, Y Jia, S Luo, C Wang - Knowledge-Based Systems, 2022 - Elsevier
With the frequent occurrence of cyber-security incidents, intrusion detection system (IDS)
has been payed more and more attention recently. However, detecting attacks from traffic …

Convolutional neural networks for multi-class intrusion detection system

S Potluri, S Ahmed, C Diedrich - … Cluj-Napoca, Romania, December 20–22 …, 2018 - Springer
Advances in communication and networking technology leads to the use of internet-based
technology in Industrial Control System (ICS) applications. Simultaneously to the …

Statistical analysis driven optimized deep learning system for intrusion detection

C Ieracitano, A Adeel, M Gogate, K Dashtipour… - … , Xi'an, China, July 7-8 …, 2018 - Springer
Attackers have developed ever more sophisticated and intelligent ways to hack information
and communication technology (ICT) systems. The extent of damage an individual hacker …

Machine learning and deep learning methods for intrusion detection systems: recent developments and challenges

G Kocher, G Kumar - Soft Computing, 2021 - Springer
Deep learning (DL) is gaining significant prevalence in every field of study due to its
domination in training large data sets. However, several applications are utilizing machine …

Comparative study of deep learning models for network intrusion detection

B Lee, S Amaresh, C Green… - SMU Data Science Review, 2018 - scholar.smu.edu
In this paper, we present a comparative evaluation of deep learning approaches to network
intrusion detection. A Network Intrusion Detection System (NIDS) is a critical component of …

A new ensemble-based intrusion detection system for internet of things

A Abbas, MA Khan, S Latif, M Ajaz, AA Shah… - Arabian Journal for …, 2022 - Springer
The domain of Internet of Things (IoT) has witnessed immense adaptability over the last few
years by drastically transforming human lives to automate their ordinary daily tasks. This is …

A study of network intrusion detection systems using artificial intelligence/machine learning

P Vanin, T Newe, LL Dhirani, E O'Connell, D O'Shea… - Applied Sciences, 2022 - mdpi.com
The rapid growth of the Internet and communications has resulted in a huge increase in
transmitted data. These data are coveted by attackers and they continuously create novel …