DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges

KB Adedeji, AM Abu-Mahfouz, AM Kurien - Journal of Sensor and …, 2023 - mdpi.com
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …

Towards DDoS detection mechanisms in software-defined networking

Y Cui, Q Qian, C Guo, G Shen, Y Tian, H **ng… - Journal of Network and …, 2021 - Elsevier
Abstract Software-Defined Networking (SDN) is widely considered as one of the next
generation network architecture. However, SDN faces with a series of issues which restraint …

Machine learning methods for cyber security intrusion detection: Datasets and comparative study

IF Kilincer, F Ertam, A Sengur - Computer Networks, 2021 - Elsevier
The increase in internet usage brings security problems with it. Malicious software can affect
the operation of the systems and disrupt data confidentiality due to the security gaps in the …

A hybrid deep learning-based model for anomaly detection in cloud datacenter networks

S Garg, K Kaur, N Kumar, G Kaddoum… - … on Network and …, 2019 - ieeexplore.ieee.org
With the emergence of the Internet-of-Things (IoT) and seamless Internet connectivity, the
need to process streaming data on real-time basis has become essential. However, the …

Hyperband tuned deep neural network with well posed stacked sparse autoencoder for detection of DDoS attacks in cloud

A Bhardwaj, V Mangat, R Vig - Ieee Access, 2020 - ieeexplore.ieee.org
Cloud computing has very attractive features like elastic, on demand and fully managed
computer system resources and services. However, due to its distributed and dynamic …

Voting extreme learning machine based distributed denial of service attack detection in cloud computing

GS Kushwah, V Ranga - Journal of Information Security and Applications, 2020 - Elsevier
Distributed denial of service attack is one of the most dangerous attacks in cloud computing.
This attack makes the cloud services inaccessible to the end-users by exhausting resources …

Bandwidth control mechanism and extreme gradient boosting algorithm for protecting software-defined networks against DDoS attacks

HA Alamri, V Thayananthan - Ieee Access, 2020 - ieeexplore.ieee.org
Software-Defined Networking (SDN) is an emerging network architecture that addresses the
limitation of the traditional network by providing centralized management through a central …

GASF-IPP: Detection and mitigation of LDoS attack in SDN

D Tang, S Wang, B Liu, W **… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Software defined networking (SDN), a highly regarded architecture, enhances the
programmability and manageability of the network by decoupling the data plane and the …

FUPE: A security driven task scheduling approach for SDN-based IoT–Fog networks

S Javanmardi, M Shojafar, R Mohammadi… - Journal of information …, 2021 - Elsevier
Fog computing is a paradigm to overcome the cloud computing limitations which provides
low latency to the users' applications for the Internet of Things (IoT). Software-defined …

A robust intelligent zero-day cyber-attack detection technique

V Kumar, D Sinha - Complex & Intelligent Systems, 2021 - Springer
With the introduction of the Internet to the mainstream like e-commerce, online banking,
health system and other day-to-day essentials, risk of being exposed to various are …