A Survey on Cyberspace Search Engines

Ruiguang Li; Meng Shen; Hao Yu; Chao Li; Pengyu Duan; Lihuang Zhu

doi:10.1007/978-981-33-4922-3_15

A Survey on Cyberspace Search Engines

Ruiguang Li^*, Meng Shen, Hao Yu, Chao Li, Pengyu Duan, Lihuang Zhu

^*Corresponding author for this work

School of Cyberspace Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Citations (Scopus)

Abstract

This paper introduces the concept of cyberspace search engine, and makes a deep survey on 5 well-known search engines, say Shodan, Censys, BinaryEdge, ZoomEye and Fofa, by querying official websites, analyzing APIs, and making academic research. We discuss the following items in details: Supporting internet protocols, Total amounts of detected devices, Device information, Scanning frequency, System architecture, The third party databases, Probes distribution, etc. We give a comprehensive comparison of the detecting abilities and working principles of the cyberspace search engines.

Original language	English
Title of host publication	Cyber Security - 17th China Annual Conference, CNCERT 2020, Revised Selected Papers
Editors	Wei Lu, Qiaoyan Wen, Yuqing Zhang, Bo Lang, Weiping Wen, Hanbing Yan, Chao Li, Li Ding, Ruiguang Li, Yu Zhou
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	206-214
Number of pages	9
ISBN (Print)	9789813349216
DOIs	https://doi.org/10.1007/978-981-33-4922-3_15
Publication status	Published - 2020
Event	17th International Annual Conference on Cyber Security, CNCERT 2020 - Beijing, China Duration: 12 Aug 2020 → 12 Aug 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1299
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	17th International Annual Conference on Cyber Security, CNCERT 2020
Country/Territory	China
City	Beijing
Period	12/08/20 → 12/08/20

Keywords

Cyberspace search engines

Access to Document

10.1007/978-981-33-4922-3_15

Cite this

Li, R., Shen, M., Yu, H., Li, C., Duan, P., & Zhu, L. (2020). A Survey on Cyberspace Search Engines. In W. Lu, Q. Wen, Y. Zhang, B. Lang, W. Wen, H. Yan, C. Li, L. Ding, R. Li, & Y. Zhou (Eds.), Cyber Security - 17th China Annual Conference, CNCERT 2020, Revised Selected Papers (pp. 206-214). (Communications in Computer and Information Science; Vol. 1299). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-33-4922-3_15

Li, Ruiguang ; Shen, Meng ; Yu, Hao et al. / A Survey on Cyberspace Search Engines. Cyber Security - 17th China Annual Conference, CNCERT 2020, Revised Selected Papers. editor / Wei Lu ; Qiaoyan Wen ; Yuqing Zhang ; Bo Lang ; Weiping Wen ; Hanbing Yan ; Chao Li ; Li Ding ; Ruiguang Li ; Yu Zhou. Springer Science and Business Media Deutschland GmbH, 2020. pp. 206-214 (Communications in Computer and Information Science).

@inproceedings{e22d633fe3834245b3c58c07c35d94f2,

title = "A Survey on Cyberspace Search Engines",

abstract = "This paper introduces the concept of cyberspace search engine, and makes a deep survey on 5 well-known search engines, say Shodan, Censys, BinaryEdge, ZoomEye and Fofa, by querying official websites, analyzing APIs, and making academic research. We discuss the following items in details: Supporting internet protocols, Total amounts of detected devices, Device information, Scanning frequency, System architecture, The third party databases, Probes distribution, etc. We give a comprehensive comparison of the detecting abilities and working principles of the cyberspace search engines.",

keywords = "Cyberspace search engines",

author = "Ruiguang Li and Meng Shen and Hao Yu and Chao Li and Pengyu Duan and Lihuang Zhu",

note = "Publisher Copyright: {\textcopyright} 2020, The Author(s).; 17th International Annual Conference on Cyber Security, CNCERT 2020 ; Conference date: 12-08-2020 Through 12-08-2020",

year = "2020",

doi = "10.1007/978-981-33-4922-3_15",

language = "English",

isbn = "9789813349216",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "206--214",

editor = "Wei Lu and Qiaoyan Wen and Yuqing Zhang and Bo Lang and Weiping Wen and Hanbing Yan and Chao Li and Li Ding and Ruiguang Li and Yu Zhou",

booktitle = "Cyber Security - 17th China Annual Conference, CNCERT 2020, Revised Selected Papers",

address = "Germany",

}

Li, R, Shen, M, Yu, H, Li, C, Duan, P & Zhu, L 2020, A Survey on Cyberspace Search Engines. in W Lu, Q Wen, Y Zhang, B Lang, W Wen, H Yan, C Li, L Ding, R Li & Y Zhou (eds), Cyber Security - 17th China Annual Conference, CNCERT 2020, Revised Selected Papers. Communications in Computer and Information Science, vol. 1299, Springer Science and Business Media Deutschland GmbH, pp. 206-214, 17th International Annual Conference on Cyber Security, CNCERT 2020, Beijing, China, 12/08/20. https://doi.org/10.1007/978-981-33-4922-3_15

A Survey on Cyberspace Search Engines. / Li, Ruiguang; Shen, Meng; Yu, Hao et al.
Cyber Security - 17th China Annual Conference, CNCERT 2020, Revised Selected Papers. ed. / Wei Lu; Qiaoyan Wen; Yuqing Zhang; Bo Lang; Weiping Wen; Hanbing Yan; Chao Li; Li Ding; Ruiguang Li; Yu Zhou. Springer Science and Business Media Deutschland GmbH, 2020. p. 206-214 (Communications in Computer and Information Science; Vol. 1299).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Survey on Cyberspace Search Engines

AU - Li, Ruiguang

AU - Shen, Meng

AU - Yu, Hao

AU - Li, Chao

AU - Duan, Pengyu

AU - Zhu, Lihuang

PY - 2020

Y1 - 2020

N2 - This paper introduces the concept of cyberspace search engine, and makes a deep survey on 5 well-known search engines, say Shodan, Censys, BinaryEdge, ZoomEye and Fofa, by querying official websites, analyzing APIs, and making academic research. We discuss the following items in details: Supporting internet protocols, Total amounts of detected devices, Device information, Scanning frequency, System architecture, The third party databases, Probes distribution, etc. We give a comprehensive comparison of the detecting abilities and working principles of the cyberspace search engines.

AB - This paper introduces the concept of cyberspace search engine, and makes a deep survey on 5 well-known search engines, say Shodan, Censys, BinaryEdge, ZoomEye and Fofa, by querying official websites, analyzing APIs, and making academic research. We discuss the following items in details: Supporting internet protocols, Total amounts of detected devices, Device information, Scanning frequency, System architecture, The third party databases, Probes distribution, etc. We give a comprehensive comparison of the detecting abilities and working principles of the cyberspace search engines.

KW - Cyberspace search engines

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U2 - 10.1007/978-981-33-4922-3_15

DO - 10.1007/978-981-33-4922-3_15

M3 - Conference contribution

AN - SCOPUS:85101532885

SN - 9789813349216

T3 - Communications in Computer and Information Science

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EP - 214

BT - Cyber Security - 17th China Annual Conference, CNCERT 2020, Revised Selected Papers

A2 - Lu, Wei

A2 - Wen, Qiaoyan

A2 - Zhang, Yuqing

A2 - Lang, Bo

A2 - Wen, Weiping

A2 - Yan, Hanbing

A2 - Li, Chao

A2 - Ding, Li

A2 - Li, Ruiguang

A2 - Zhou, Yu

PB - Springer Science and Business Media Deutschland GmbH

T2 - 17th International Annual Conference on Cyber Security, CNCERT 2020

Y2 - 12 August 2020 through 12 August 2020

ER -

Li R, Shen M, Yu H, Li C, Duan P, Zhu L. A Survey on Cyberspace Search Engines. In Lu W, Wen Q, Zhang Y, Lang B, Wen W, Yan H, Li C, Ding L, Li R, Zhou Y, editors, Cyber Security - 17th China Annual Conference, CNCERT 2020, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2020. p. 206-214. (Communications in Computer and Information Science). doi: 10.1007/978-981-33-4922-3_15

A Survey on Cyberspace Search Engines

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