Implementing a NIDS System for protecting computer and wireless networks using various machine learning approaches

J Eppich - 2024 - soar.suny.edu
In modern Wireless Networks, security is critical. With the ever-evolving attacks on wireless
networks, both public and private, the use of Network Intrusion Detection Systems is at an all …

7 Data-Driven Techniques

LE Alatabani, ES Ali, RA Saeed - Data-Driven Intelligence in …, 2023 - books.google.com
Data-driven approaches refer to the use of available data within a network for analysis and
detection of unwanted traffic and to distinguish normal behavior from attack behavior. Using …

Data-Driven Techniques for Intrusion Detection in Wireless Networks

LE Alatabani, ES Ali, RA Saeed - Data-Driven Intelligence in …, 2023 - taylorfrancis.com
In a wireless network, there is typically a large amount of data being exchanged over the
network. Having sensitive information about users and network analytics leads to the idea of …

Machine Learning Techniques for Cyber Security: A Review

D Rajput, DK Sharma, M Gupta - International Conference On Innovative …, 2023 - Springer
Cyber security crimes continue to increase every day. As the devices and the network
connectivity is increasing, attackers and hackers committing the crimes over these diversely …

[PDF][PDF] Machine Learning Approach to Combat False Alarms in Wireless Intrusion Detection System.

DS Vijayakumar, S Ganapathy - Comput. Inf. Sci., 2018 - pdfs.semanticscholar.org
Wireless Networks facilitate the ease of communication for sharing the crucial information.
Recently, most of the small and large-scale companies, educational institutions, government …

Evaluating the Implementation of Machine Learning in Network Security

AM Aguilar - 2021 - search.proquest.com
Technologies such as user authentication that apply AI (Artificial Intelligence) and ML
(Machine Learning) are excellent tools. The most recent identity solutions can provide …

The role of artificial intelligence and machine learning in wireless networks security: Principle, practice and challenges

M Waqas, S Tu, Z Halim, SU Rehman, G Abbas… - Artificial Intelligence …, 2022 - Springer
Security is one of the biggest challenges concerning networks and communications. The
problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence …

A Review of Deep Learning IDS for DDoS Attacks in WLANs

J Silaa, H Muyingi, A Gamundani - Proceedings of the International …, 2021 - dl.acm.org
An Intrusion detection system (IDS) is a critical security organ which serves as a gatekeeper
against the ever-evolving cyber space attacks. Among the recent technological …

Robustness and security deep learning for wireless communications systems

AA Jawameer - 2022 - openaccess.altinbas.edu.tr
In order to defend a wireless network from intrusion and ensure the confidentiality of any
data, an Infiltration Detection System is required. The primary goal is to achieve accurate …

Artificial Intelligence Based System for Securing Computer Networks: A Survey

B Tarajit Singh, B Sundara Kumar… - … in Electronics and …, 2023 - ebooks.iospress.nl
The security of computer networks is crucial in today's computer systems. A number of
software technologies are now being developed in order to impose high levels of protection …