Scraping of Vulnerable Physical Environment Images in Shodan Images in Turkey for Dataset


Abstract views: 20 / PDF downloads: 29

Authors

  • Fehmi Özkaner Isparta University of Applied Sciences
  • Kıyas Kayaalp Isparta University of Applied Sciences

DOI:

https://doi.org/10.59287/icriret.1399

Keywords:

Shodan, Scraping, Vulnerable Physical Environment

Abstract

In this study, a scraping software has been developed with python in order to use the physical space images in Shodan images section as a dataset for CNN based artificial intelligence applications. With this software, the images listed in the Shodan images section within the scope of the query "country:en port:554" are collected by web scraping technique. The scraping software scraped and stored the images obtained as a result of the query every 3 days for an average of two months. As a result, 2,220 images were obtained to be used as a dataset in CNN-based classification applications.

Author Biographies

Fehmi Özkaner, Isparta University of Applied Sciences

Department of Computer Technologies Isparta, Turkey

Kıyas Kayaalp, Isparta University of Applied Sciences

Department of Computer Technologies  Isparta, Turkey

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Published

2023-08-29

How to Cite

Özkaner, F., & Kayaalp, K. (2023). Scraping of Vulnerable Physical Environment Images in Shodan Images in Turkey for Dataset. International Conference on Recent and Innovative Results in Engineering and Technology, 187–192. https://doi.org/10.59287/icriret.1399