[HTML][HTML] Detection of distributed denial of service (DDoS) attacks in IOT based monitoring system of banking sector using machine learning models

U Islam, A Muhammad, R Mansoor, MS Hossain… - Sustainability, 2022 - mdpi.com
Cyberattacks can trigger power outages, military equipment problems, and breaches of
confidential information, ie, medical records could be stolen if they get into the wrong hands …

[HTML][HTML] Real-time DDoS attack detection system using big data approach

MJ Awan, U Farooq, HMA Babar, A Yasin, H Nobanee… - Sustainability, 2021 - mdpi.com
Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …

Analysis and detection of DDoS attacks on cloud computing environment using machine learning techniques

AR Wani, QP Rana, U Saxena… - 2019 Amity International …, 2019 - ieeexplore.ieee.org
The primary benefit of the cloud is that it elastically scales to meet variable demand and it
provides the environment which scales up and scales down instantly according to the …

Deep neural network (DNN) solution for real-time detection of distributed denial of service (DDoS) attacks in software defined networks (SDNs)

A Makuvaza, DS Jat, AM Gamundani - SN Computer Science, 2021 - Springer
Abstract Software-Defined Network (SDN) has emerged as the new big thing in networking.
The separation of the control plane from the data plane and application plane gives SDN an …

[HTML][HTML] 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 …

A machine learning-based classification and prediction technique for DDoS attacks

MI Mohmand, H Hussain, AA Khan, U Ullah… - IEEE …, 2022 - ieeexplore.ieee.org
Distributed network attacks are referred to, usually, as Distributed Denial of Service (DDoS)
attacks. These attacks take advantage of specific limitations that apply to any arrangement …

An intelligent intrusion detection system for distributed denial of service attacks: A support vector machine with hybrid optimization algorithm based approach

S Sokkalingam, R Ramakrishnan - … and Computation: Practice …, 2022 - Wiley Online Library
Cloud computing offers comfortable service to business sectors as they can concentrate on
their products. Over the internet, cloud computing is liable to various security threats and …

DDoS attack detection in Internet of Things using recurrent neural network

O Yousuf, RN Mir - Computers and Electrical Engineering, 2022 - Elsevier
Abstract The Internet of Things (IoT) is an emerging communication paradigm due to its wide
range of applications. For IoT, distributed denial of service (DDoS) attacks are becoming …

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 …

Deep learning models for cyber security in IoT networks

M Roopak, GY Tian, J Chambers - 2019 IEEE 9th annual …, 2019 - ieeexplore.ieee.org
In this paper we propose deep learning models for the cyber security in IoT (Internet of
Things) networks. IoT network is as a promising technology which connects the living and …