[HTML][HTML] Novel Network Intrusion Detection Based on Feature Filtering Using FLAME and New Cuckoo Selection in a Genetic Algorithm

K Alzboon, J Al-Nihoud, W Alsharafat - Applied Sciences, 2023 - mdpi.com
Recently, networks have faced a significant challenge in terms of security due to constant
unauthorized access by hackers, resulting in the compromise of network user data. To …

A methodology to detect distributed denial of service attacks

Ö Aslan - Bilişim Teknolojileri Dergisi, 2022 - dergipark.org.tr
Distributed denial of service (DDoS) attacks is one of the most destructive cyber attacks
which target the availability of the system when legitimate users try to access the system. Not …

[PDF][PDF] Using machine learning techniques to detect attacks in computer networks

O Aslan - Proc. of Aegean Summit 4th International Applied …, 2022 - researchgate.net
Intrusion detection systems (IDSs) are used extensively to protect computer networks from
the network related cyber attacks. The goal is to detect intrusions when data is transmitted …

An Advanced Feature Selection Approach to Improve Intrusion Detection System using Machine Learning

N Kaur, J Singla, G Mathur, S Talwani… - 2023 7th International …, 2023 - ieeexplore.ieee.org
This research study presents an efficient threat detection model in which primary emphasis
has been placed on the feature selection and classification phase The primary objective of …

[PDF][PDF] Dağıtılmış Hizmet Reddi Saldırılarını Algılamak için bir Metodoloji

Ö ASLAN - International Journal of InformaticsTechnologies, 2022 - researchgate.net
Dağıtılmış hizmet reddi (Distributed denial of service-DDoS) saldırıları, sistemin
kullanılabilirliğini hedef alarak normal kullanıcıların sisteme erişimini engelleyen en yıkıcı …

[PDF][PDF] BOOK OF FULL TEXT

A SUMMIT - 2021 - researchgate.net
Education is considered one of the most important factors that contribute to the rise and
elevation of nations; the nation's strength and progress are measured by the educational …