Botnet dataset with simultaneous attack activity

The proposed dataset shows characteristics of simultaneous botnet attack activities. Botnet network traffic has sequentially interconnected as formed as bidirectional network flow (binetflow), which is combined with normal activities. The dataset is generated from a simulation process by extracting...

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Bibliographic Details
Main Authors: Muhammad Aidiel Rachman Putra, Dandy Pramana Hostiadi, Tohari Ahmad
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340922008344
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author Muhammad Aidiel Rachman Putra
Dandy Pramana Hostiadi
Tohari Ahmad
author_facet Muhammad Aidiel Rachman Putra
Dandy Pramana Hostiadi
Tohari Ahmad
author_sort Muhammad Aidiel Rachman Putra
collection DOAJ
description The proposed dataset shows characteristics of simultaneous botnet attack activities. Botnet network traffic has sequentially interconnected as formed as bidirectional network flow (binetflow), which is combined with normal activities. The dataset is generated from a simulation process by extracting botnet pattern behaviors taken from CTU-13 and NCC datasets. The extraction results are utilized as the basis for simulations to produce a new dataset with simultaneous botnet attack activities. The term “simultaneous attack activities” refers to an attack activity that involves multiple botnets and happens at the same time. The dataset contains several botnet types distributed over three detection sensors. Each dataset has 18 network header features with a total recording duration of 8 h. The bot attack spreads must be appropriately handled by efficient processing, also known as parallel computation detection.
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spelling doaj.art-eca8125152c84db3bb8be11dee9597642022-12-22T03:49:13ZengElsevierData in Brief2352-34092022-12-0145108628Botnet dataset with simultaneous attack activityMuhammad Aidiel Rachman Putra0Dandy Pramana Hostiadi1Tohari Ahmad2Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, IndonesiaDepartment of Informatics, Institut Teknologi Dan Bisnis STIKOM Bali, Bali, IndonesiaDepartment of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia; Corresponding author.The proposed dataset shows characteristics of simultaneous botnet attack activities. Botnet network traffic has sequentially interconnected as formed as bidirectional network flow (binetflow), which is combined with normal activities. The dataset is generated from a simulation process by extracting botnet pattern behaviors taken from CTU-13 and NCC datasets. The extraction results are utilized as the basis for simulations to produce a new dataset with simultaneous botnet attack activities. The term “simultaneous attack activities” refers to an attack activity that involves multiple botnets and happens at the same time. The dataset contains several botnet types distributed over three detection sensors. Each dataset has 18 network header features with a total recording duration of 8 h. The bot attack spreads must be appropriately handled by efficient processing, also known as parallel computation detection.http://www.sciencedirect.com/science/article/pii/S2352340922008344Botnet datasetBot group activitiesBot communication behaviorInfrastructureNetwork security
spellingShingle Muhammad Aidiel Rachman Putra
Dandy Pramana Hostiadi
Tohari Ahmad
Botnet dataset with simultaneous attack activity
Data in Brief
Botnet dataset
Bot group activities
Bot communication behavior
Infrastructure
Network security
title Botnet dataset with simultaneous attack activity
title_full Botnet dataset with simultaneous attack activity
title_fullStr Botnet dataset with simultaneous attack activity
title_full_unstemmed Botnet dataset with simultaneous attack activity
title_short Botnet dataset with simultaneous attack activity
title_sort botnet dataset with simultaneous attack activity
topic Botnet dataset
Bot group activities
Bot communication behavior
Infrastructure
Network security
url http://www.sciencedirect.com/science/article/pii/S2352340922008344
work_keys_str_mv AT muhammadaidielrachmanputra botnetdatasetwithsimultaneousattackactivity
AT dandypramanahostiadi botnetdatasetwithsimultaneousattackactivity
AT tohariahmad botnetdatasetwithsimultaneousattackactivity