Developing realistic distributed denial of service (DDoS) attack dataset and taxonomy

I Sharafaldin, AH Lashkari, S Hakak… - 2019 international …, 2019 - ieeexplore.ieee.org
… In this section, we evaluate several publicly available DDoS attack datasets … reliable dataset
to test and validate DDoS attack detection systems. The CAIDA “DDoS Attack 2007” Dataset […

Detecting DDoS attacks using machine learning techniques and contemporary intrusion detection dataset

N Bindra, M Sood - Automatic Control and Computer Sciences, 2019 - Springer
datasets like KDD 99, NSL-KDD, DARPA and CAIDA etc., which excludes recent DDoS
attacks… supervised learning algorithms on a real-life dataset, having contemporary DDoS attacks. …

[HTML][HTML] Generation of DDoS attack dataset for effective IDS development and evaluation

S Alzahrani, L Hong - Journal of Information Security, 2018 - scirp.org
… This paper first details the available datasets that scholars use for DDoS attack detection. …
of DDoS attacks. In addition, a traffic generator for normal and different types of DDoS attack

Detection of DDoS attacks using Enhanced Support Vector Machines with real time generated dataset

T Subbulakshmi, K BalaKrishnan… - 2011 Third …, 2011 - ieeexplore.ieee.org
… The datasets provide a way to train the IDS in an effective manner. In … DDoS dataset which
is derived from various other parameters of the DDoS attacks with latest types of DDoS attack

[PDF][PDF] Evaluation of DDoS attacks detection in a CICIDS2017 dataset based on classification algorithms

AA Abdulrahman, MK Ibrahem - Iraqi Journal of Information and …, 2018 - iasj.net
… with new types of attacks. In this section we have described the dataset that contains the
DDoS attacks and we have used for training models [4]. This dataset is completely classified …

A simulation work for generating a novel dataset to detect distributed denial of service attacks on Vehicular Ad hoc NETwork systems

FA Alhaidari, AM Alrehan - International Journal of …, 2021 - journals.sagepub.com
… the datasets used, play a role in detecting many attacks with … the datasets available for
distributed denial of service attacks … versions, an absence of distributed denial of service traffic, …

Dataset: Large-scale urban IoT activity data for DDOS attack emulation

A Hekmati, E Grippo, B Krishnamachari - arXiv preprint arXiv:2110.01842, 2021 - arxiv.org
… based on tunable parameters such as number of nodes attacked and duration of attack. We
dataset. We also demonstrate the utility of the dataset as well as our synthetic DDoS attack

An overview of DoS and DDoS attack detection techniques

M Gniewkowski - … Conference on Dependability and Complex Systems, 2020 - Springer
… In this paper, we shortly discussed several datasets and methods used in DDoS detection
problem. Four conclusions are drawn from the overview. First of all, there is a problem with …

Deep learning approaches for detecting DDoS attacks: A systematic review

M Mittal, K Kumar, S Behal - Soft computing, 2023 - Springer
… areas: (i) the different types of DDoS attack detection deep learning approaches, (ii) the … for
DDoS attacks detection (iii) benchmarked datasets and classes of attacks in datasets used in …

IoT DoS and DDoS attack detection using ResNet

F Hussain, SG Abbas, M Husnain… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
DDoS attack dataset, ie, CICDDoS2019 [10] which contains 11 types of DoS and DDoS attacks
… compared to other network traffic datasets. In order to better detect the complex DoS and …