Enhancing DDoS attack detection and mitigation in SDN using an ensemble online machine learning model
Software Defined Networks (SDN) offer dynamic reconfigurability and scalability,
revolutionizing traditional networking. However, countering Distributed Denial of Service …
revolutionizing traditional networking. However, countering Distributed Denial of Service …
Towards more realistic evaluations: The impact of label delays in malware detection pipelines
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 …
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 …
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 …
protection against cyber attacks. Most modern information services are characterized by …
Comprehensive Detection of Known Attacks Using Integrated Datasets
Cyberattacks, which are malicious attempts, are continuously increasing, leading to
unauthorized data access, services disruptions, and network degradation. Efficient and …
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 …
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
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 …
(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 …
uključujući motive, metode i posljedice ovih napada. Kibernetički napadi predstavljaju sve …
Comprehensive Detection of Known Attacks Using Integrated Datasets
Cyberattacks, which are malicious attempts, are continuously increasing, leading to
unauthorized data access, services disruptions, and network degradation. Efficient and …
unauthorized data access, services disruptions, and network degradation. Efficient and …