Standard
Study of Crawlers of Search Engine 'Shodan.io'. /
Zolotykh, Maxim.
Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. стр. 419-422 9455018 (Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021).
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Harvard
Zolotykh, M 2021,
Study of Crawlers of Search Engine 'Shodan.io'. в
Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021., 9455018, Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021, Institute of Electrical and Electronics Engineers Inc., стр. 419-422, Международная конференция 2021 IEEE Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), Yekaterinburg, Российская Федерация,
13/05/2021.
https://doi.org/10.1109/USBEREIT51232.2021.9455018
APA
Vancouver
Zolotykh M.
Study of Crawlers of Search Engine 'Shodan.io'. в Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. Institute of Electrical and Electronics Engineers Inc. 2021. стр. 419-422. 9455018. (Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021). doi: 10.1109/USBEREIT51232.2021.9455018
Author
Zolotykh, Maxim. /
Study of Crawlers of Search Engine 'Shodan.io'. Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. стр. 419-422 (Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021).
BibTeX
@inproceedings{637090c758bf4dcb889630b31d9f6693,
title = "Study of Crawlers of Search Engine 'Shodan.io'",
keywords = "background noise, collector, crawler, dark-Trap, Internet, network scanner, network security, search, Shodan.io, TCP/IP, traffic, trap",
author = "Maxim Zolotykh",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021 ; Conference date: 13-05-2021 Through 14-05-2021",
year = "2021",
month = may,
day = "13",
doi = "10.1109/USBEREIT51232.2021.9455018",
language = "English",
series = "Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "419--422",
booktitle = "Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021",
address = "United States",
}
RIS
TY - GEN
T1 - Study of Crawlers of Search Engine 'Shodan.io'
AU - Zolotykh, Maxim
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021/5/13
Y1 - 2021/5/13
KW - background noise
KW - collector
KW - crawler
KW - dark-Trap
KW - Internet
KW - network scanner
KW - network security
KW - search
KW - Shodan.io
KW - TCP/IP
KW - traffic
KW - trap
UR - http://www.scopus.com/inward/record.url?scp=85113748232&partnerID=8YFLogxK
U2 - 10.1109/USBEREIT51232.2021.9455018
DO - 10.1109/USBEREIT51232.2021.9455018
M3 - Conference contribution
AN - SCOPUS:85113748232
T3 - Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021
SP - 419
EP - 422
BT - Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021
Y2 - 13 May 2021 through 14 May 2021
ER -
