DDoS attack detection in IoT-based networks using machine learning models: a survey and research directions

AA Alahmadi, M Aljabri, F Alhaidari, DJ Alharthi… - Electronics, 2023 - mdpi.com
With the emergence of technology, the usage of IoT (Internet of Things) devices is said to be
increasing in people's lives. Such devices can benefit the average individual, who does not …

High-Speed Network DDoS Attack Detection: A Survey

RMA Haseeb-Ur-Rehman, AHM Aman, MK Hasan… - Sensors, 2023 - mdpi.com
Having a large number of device connections provides attackers with multiple ways to attack
a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can …

ML‐DDoSnet: IoT intrusion detection based on denial‐of‐service attacks using machine learning methods and NSL‐KDD

M Esmaeili, SH Goki, BHK Masjidi… - Wireless …, 2022 - Wiley Online Library
The Internet of Things (IoT) is a complicated security feature in which datagrams are
protected by integrity, confidentiality, and authentication services. The network is protected …

RepuTE: A soft voting ensemble learning framework for reputation-based attack detection in fog-IoT milieu

R Verma, S Chandra - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The impetuous expansion of the Internet of Things (IoT) network has resulted in a noticeable
increase in the production of sensitive user data. With this, to meet the demand for real-time …

Ensemble machine learning techniques for accurate and efficient detection of botnet attacks in connected computers

S Afrifa, V Varadarajan, P Appiahene, T Zhang… - Eng, 2023 - mdpi.com
The transmission of information, ideas, and thoughts requires communication, which is a
crucial component of human contact. The utilization of Internet of Things (IoT) devices is a …

Improved DDoS detection utilizing deep neural networks and feedforward neural networks as autoencoder

AL Yaser, HM Mousa, M Hussein - Future Internet, 2022 - mdpi.com
Software-defined networking (SDN) is an innovative network paradigm, offering substantial
control of network operation through a network's architecture. SDN is an ideal platform for …

Secure SDN–IoT framework for DDoS attack detection using deep learning and counter based approach

M Cherian, SL Varma - Journal of Network and Systems Management, 2023 - Springer
The IoT network is unique due to heterogeneous IoT nodes and resource-constrained
devices; the approach for securing IoT networks needs to be different from the security …

An improved deep learning model for DDoS detection based on hybrid stacked autoencoder and checkpoint network

AK Mousa, MN Abdullah - Future Internet, 2023 - mdpi.com
The software defined network (SDN) collects network traffic data and proactively manages
networks. SDN's programmability makes it excellent for developing distributed applications …

An effective DDoS attack mitigation strategy for IoT using an optimization-based adaptive security model

S Kumar, A kumar Keshri - Knowledge-Based Systems, 2024 - Elsevier
Abstract The Internet of Things enables the creation of transmitted use cases for
interconnected devices and complementary channels. The varied structure of it creates …

Defending arp spoofing-based mitm attack using machine learning and device profiling

A Prasad, S Chandra - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
No matter how secure and encrypted a network communication is, if incoming and outgoing
traffic is redirected through the intruder's land, there is no guarantee that those …