TY - JOUR
T1 - Simultaneous Botnet Dataset Generator
T2 - A simulation tool for generating a botnet dataset with simultaneous attack characteristic[Formula presented]
AU - Putra, Muhammad Aidiel Rachman
AU - Hostiadi, Dandy Pramana
AU - Ahmad, Tohari
N1 - Publisher Copyright:
© 2022 The Author(s)
PY - 2022/11
Y1 - 2022/11
N2 - A botnet attack must be handled appropriately, such that botnet detection models have been developed, whose performance is supported by datasets obtained through recording actual network traffic or simulations. Nevertheless, the available datasets only show particular characteristics. In the real environment, botnet attacks can coincide with same networks, recorded in different intrusion detectors. Thus, a dataset representing simultaneous botnet attacks is essential. This paper proposes a simulation software for botnet activity modeling with simultaneous characteristics, performed by extracting sporadic and periodic activities of botnet attacks. This software generates a botnet activity dataset with simultaneous characteristics to develop parallel detection models.
AB - A botnet attack must be handled appropriately, such that botnet detection models have been developed, whose performance is supported by datasets obtained through recording actual network traffic or simulations. Nevertheless, the available datasets only show particular characteristics. In the real environment, botnet attacks can coincide with same networks, recorded in different intrusion detectors. Thus, a dataset representing simultaneous botnet attacks is essential. This paper proposes a simulation software for botnet activity modeling with simultaneous characteristics, performed by extracting sporadic and periodic activities of botnet attacks. This software generates a botnet activity dataset with simultaneous characteristics to develop parallel detection models.
KW - Botnet
KW - Botnet dataset
KW - Botnet dataset generator
KW - Network infrastructure
KW - Network security
UR - http://www.scopus.com/inward/record.url?scp=85142255783&partnerID=8YFLogxK
U2 - 10.1016/j.simpa.2022.100441
DO - 10.1016/j.simpa.2022.100441
M3 - Article
AN - SCOPUS:85142255783
SN - 2665-9638
VL - 14
JO - Software Impacts
JF - Software Impacts
M1 - 100441
ER -