A multi-objective optimization problem solving method based on improved golden jackal optimization algorithm and its application
S Jiang, Y Yue, C Chen, Y Chen, L Cao - Biomimetics, 2024 - mdpi.com
The traditional golden jackal optimization algorithm (GJO) has slow convergence speed,
insufficient accuracy, and weakened optimization ability in the process of finding the optimal …
insufficient accuracy, and weakened optimization ability in the process of finding the optimal …
A Systematic Literature Review on Swarm Intelligence Based Intrusion Detection System: Past, Present and Future
Swarm Intelligence (SI) has proven to be useful in solving issues that are difficult to solve
using traditional mathematical methodologies by using a collective behavior of a …
using traditional mathematical methodologies by using a collective behavior of a …
A Machine Learning-Based Framework with Enhanced Feature Selection and Resampling for Improved Intrusion Detection
F Malik, Q Waqas Khan, A Rizwan, R Alnashwan… - Mathematics, 2024 - mdpi.com
Intrusion Detection Systems (IDSs) play a crucial role in safeguarding network
infrastructures from cyber threats and ensuring the integrity of highly sensitive data …
infrastructures from cyber threats and ensuring the integrity of highly sensitive data …
Saldırı Tespit Sistemlerinde K-Means Algoritması ve Silhouette Metriği ile Optimum Küme Sayısının Belirlenmesi
F Topaloğlu - Bilişim Teknolojileri Dergisi, 2024 - dergipark.org.tr
Günümüz internetleri neredeyse yarım milyon farklı ağdan oluşmaktadır. Bir ağ
bağlantısında, saldırıları türlerine göre tanımlamak zordur. Çünkü farklı saldırılar çeşitli …
bağlantısında, saldırıları türlerine göre tanımlamak zordur. Çünkü farklı saldırılar çeşitli …
Integration Between Network Intrusion Detection and Machine Learning Techniques to Optimizing Network Security
K Elzaridi, S Kurnaz - Babylonian Journal of Networking, 2024 - mesopotamian.press
In an increasingly linked world beset with cybersecurity risks, the necessity for powerful
intrusion detection systems (IDS) is paramount. This thesis proposes a fresh approach to …
intrusion detection systems (IDS) is paramount. This thesis proposes a fresh approach to …
Enhancing Intrusion Detection System (IDS) Through Deep Packet Inspection (DPI) with Machine Learning approaches
KA Bathiri, M Vijayakumar - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
In today's era of ever connecting devices and exponential growth in the number of small
networks in every digital workspace, security concerns are also growing rapidly. Intrusion …
networks in every digital workspace, security concerns are also growing rapidly. Intrusion …
[PDF][PDF] A Proactive Model For Computer Intrusion Prevention Via Machine Learning Algorithms
SF Hussein - positive-sciences.com
The ever-evolving nature of cybersecurity threats presents enormous obstacles for both
individuals and organisations globally. Machine learning-based intrusion detection systems …
individuals and organisations globally. Machine learning-based intrusion detection systems …