Hybrid feature selection for efficient detection of DDoS attacks in IoT
L Hong, K Wehbi, TH Alsalah - Proceedings of the 2022 6th International …, 2022 - dl.acm.org
The increasing Distributed Denial of Service (DDoS) attacks on the Internet of Things (IoT) is
leading to the need for an efficient detection approach. Although much research has been …
leading to the need for an efficient detection approach. Although much research has been …
Deep discover: Deep learning models for detecting distributed denial of service (DDOS) attacks
S Malliga, SV Kogilavani, R Sowmya - AIP Conference Proceedings, 2022 - pubs.aip.org
A Distributed Denial of Service (DDoS) attack occurs when an attacker or group of attackers
tries to prevent a service from being provided to legitimate users. A DoS attack is performed …
tries to prevent a service from being provided to legitimate users. A DoS attack is performed …
[PDF][PDF] Detection and Mitigation of DDOS Attack in SDN Environment Using Hybrid CNN-LSTM
DM Rajan, DJ Aravindhar - Migration Letters, 2023 - pdfs.semanticscholar.org
DDoS attacks, powered by botnets to flood network resources, pose a significant threat to
traditional network setups. Software-Defined Networking (SDN) boosts network adaptability …
traditional network setups. Software-Defined Networking (SDN) boosts network adaptability …
DICOF: A distributed and collaborative framework for hybrid DDoS attack detection
S Leng, Y Xie, Y Zhang, Y Guo… - 2022 IEEE Symposium …, 2022 - ieeexplore.ieee.org
Hybrid distributed denial-of-service (DDoS) attack, which utilizes multiple types of DDoS
attack to launch one attack event, has become more rampant. However, existing researches …
attack to launch one attack event, has become more rampant. However, existing researches …
Performance optimization in ddos prediction with ensemble based approach
A Dogra - Multimedia Tools and Applications, 2024 - Springer
Abstract Distributed Denial of Service (DDoS) attacks pose a significant threat to network
infrastructures, leading to service disruptions and potential financial losses. In this study, we …
infrastructures, leading to service disruptions and potential financial losses. In this study, we …
Supervised Machine Learning-Based DDoS Defense System for Software-Defined Network
G Siddiqui, SK Shukla - … Vision and Augmented Intelligence—Theory and …, 2021 - Springer
Abstract Software-Defined Network (SDN) is a network architecture that decouples the
network control logic from data forwarding logic. SDN allows networking devices to be …
network control logic from data forwarding logic. SDN allows networking devices to be …
Deep Learning based DDoS Attack Detection in Internet of Things: An Optimized CNN-BiLSTM Architecture with Transfer Learning and Regularization Techniques
I Jebril, M Premkumar… - Infocommunications …, 2024 - real.mtak.hu
In recent days, with the rapid advancement of technology in informatics systems, the Internet
of Things (IoT) becomes crucial in many aspects of daily life. IoT applications have gained …
of Things (IoT) becomes crucial in many aspects of daily life. IoT applications have gained …
Ddosnet: A deep-learning model for detecting network attacks
MS Elsayed, NA Le-Khac, S Dev… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an emerging paradigm, which evolved in recent
years to address the weaknesses in traditional networks. The significant feature of the SDN …
years to address the weaknesses in traditional networks. The significant feature of the SDN …
An intelligent agent-based detection system for DDoS attacks using automatic feature extraction and selection
Distributed Denial of Service (DDoS) attacks, advanced persistent threats, and malware
actively compromise the availability and security of Internet services. Thus, this paper …
actively compromise the availability and security of Internet services. Thus, this paper …