Enhancing DDoS attack detection and mitigation in SDN using an ensemble online machine learning model

AA Alashhab, MS Zahid, B Isyaku, AA Elnour… - IEEE …, 2024 - ieeexplore.ieee.org
Software Defined Networks (SDN) offer dynamic reconfigurability and scalability,
revolutionizing traditional networking. However, countering Distributed Denial of Service …

Towards more realistic evaluations: The impact of label delays in malware detection pipelines

M Botacin, H Gomes - Computers & Security, 2025 - Elsevier
Develo** and evaluating malware classification pipelines to reflect real-world needs is as
vital to protect users as it is hard to achieve. In many cases, the experimental conditions …

Zero-day exploits detection with adaptive WavePCA-Autoencoder (AWPA) adaptive hybrid exploit detection network (AHEDNet)

AA Mohamed, A Al-Saleh, SK Sharma, GG Tejani - Scientific Reports, 2025 - nature.com
This paper introduces a new probabilistic composite model for the detection of zero-day
exploits targeting the capabilities of existing anomaly detection systems in terms of accuracy …

[PDF][PDF] Method for detection of the modified DDoS cyber attacks on a web resource of an Information and Telecommunication Network based on the use of intelligent …

S Onyshchenko, O Haitan, A Yanko… - Proceedings of the …, 2024 - ceur-ws.org
Web services hosted in Information and Telecommunication Networks (ITNs) require reliable
protection against cyber attacks. Most modern information services are characterized by …

Comprehensive Detection of Known Attacks Using Integrated Datasets

C Aouiche, B Chen, B Shen, A Aouiche… - 2024 14th …, 2024 - ieeexplore.ieee.org
Cyberattacks, which are malicious attempts, are continuously increasing, leading to
unauthorized data access, services disruptions, and network degradation. Efficient and …

Integrating Dung Beetle Optimization in Machine Learning for Advanced Zero-Day Attack Detection and Classification

J Vanitha, P Anandababu - 2024 9th International Conference …, 2024 - ieeexplore.ieee.org
With the widespread adoption of Internet such as online banking, health systems, e-
commerce, and other daily requirements, the risk of becoming revealed to numerous is …

Sand Cat Swarm Intelligent based Random Forest Approach for DDoS Attack Detection in IoT Network Scenario using NS3

SS Chaudhari, TN Sparshika, D Preethi… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The last decade have seen a notable expansion and advancement of the Internet of Things
(IoT), providing novel solutions to industrial and social problems. Launching DDoS attack …

Analiza uzroka i karakteristika kibernetičkih napada u privatnom sektoru

M Kovačić - 2024 - repozitorij.efst.unist.hr
Sažetak Ovaj rad istražuje uzroke i karakteristike kibernetičkih napada u privatnom sektoru,
uključujući motive, metode i posljedice ovih napada. Kibernetički napadi predstavljaju sve …

Comprehensive Detection of Known Attacks Using Integrated Datasets

A Chaima, B Chen, A Aouiche, B Shen… - The 14th International … - openreview.net
Cyberattacks, which are malicious attempts, are continuously increasing, leading to
unauthorized data access, services disruptions, and network degradation. Efficient and …