A Survey on Cyberspace Search Engines

Ruiguang Li, Meng Shen, Hao Yu, Chao Li, Pengyu Duan, Lihuang Zhu · Communications in computer and information science · 2020

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.

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