An effective intrusion detection system using supervised machine learning techniques

AS Ahanger, SM Khan… - 2021 5th International …, 2021 - ieeexplore.ieee.org
With the increased use of Internet resources, cyber attackers are using novel ways to attack
the services of network. Thus network security is becoming inevitable part of the network …

A Survey of Deep Learning Technologies for Intrusion Detection in Internet of Things

H Liao, MZ Murah, MK Hasan, AHM Aman… - IEEE …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …

A systematic literature review of intrusion detection system for network security: Research trends, datasets and methods

R Ferdiana - … 4th International Conference on Informatics and …, 2020 - ieeexplore.ieee.org
Study on intrusion detection system (IDS) mostly allow network administrators to focus on
development activities in terms of network security and making better use of resource. Many …

[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 …

Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review

SW Lee, M Mohammadi, S Rashidi… - Journal of Network and …, 2021 - Elsevier
Providing a high-performance Intrusion Detection System (IDS) can be very effective in
controlling malicious behaviors and cyber-attacks. Regarding the ever-growing negative …

A meta-analysis of role of network intrusion detection systems in confronting network attacks

J Verma, A Bhandari, G Singh - 2021 8th International …, 2021 - ieeexplore.ieee.org
Traffic on the network is increasing immensely. Unprecedented development and close
integration of devices for the Internet of Things (IoT) have contributed to an enormous …

Intrusion detection in smart city hospitals using ensemble classifiers

T Saba - 2020 13th International Conference on Developments …, 2020 - ieeexplore.ieee.org
The idea of Internet of Medical Things (IOMT) is used as health intelligence in the smart
hospital to assist medical staff for diagnosis and patient care. Smart hospitals play an …

A review on intrusion detection system using machine learning techniques

US Musa, S Chakraborty… - 2021 International …, 2021 - ieeexplore.ieee.org
Computer networks are exposed to cyber related attacks due to the common usage of
internet, as the result of such, several intrusion detection systems (IDSs) were proposed by …

Design of intrusion detection system using ensemble learning technique in cloud computing environment

R Bingu, S Jothilakshmi - International Journal of Advanced …, 2023 - search.proquest.com
The key advantage of the cloud is that it fluidly propagates to fulfil changeable requirements
and provides an environment that is repeatable and can be scaled down instantly when …

DCNN-IDS: deep convolutional neural network based intrusion detection system

S Sriram, A Shashank, R Vinayakumar… - … , Cyber Security and …, 2020 - Springer
In the present era, cyberspace is growing tremendously and the intrusion detection system
(IDS) plays a key role in it to ensure information security. The IDS, which works in network …