Shodan visualized

Vincent J. Ercolani, Mark W. Patton, Hsinchun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The purpose of this paper is to discuss how using Gephi to visualize the open ports at IP addresses in Shodan may provide a means of identifying SCADA devices. Visualizations were created using both IP addresses and open ports as nodes. Modularity, centralities, and layout were used to enhance the visualizations. From these visualizations we hope to gather a better understanding of what devices are on the network.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages193-195
Number of pages3
ISBN (Electronic)9781509038657
DOIs
StatePublished - Nov 15 2016
Event14th IEEE International Conference on Intelligence and Security Informatics, ISI 2015 - Tucson, United States
Duration: Sep 28 2016Sep 30 2016

Other

Other14th IEEE International Conference on Intelligence and Security Informatics, ISI 2015
CountryUnited States
CityTucson
Period9/28/169/30/16

Fingerprint

Visualization
Modularity
Centrality
Layout
Node

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Cite this

Ercolani, V. J., Patton, M. W., & Chen, H. (2016). Shodan visualized. In IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016 (pp. 193-195). [7745467] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2016.7745467

Shodan visualized. / Ercolani, Vincent J.; Patton, Mark W.; Chen, Hsinchun.

IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 193-195 7745467.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ercolani, VJ, Patton, MW & Chen, H 2016, Shodan visualized. in IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016., 7745467, Institute of Electrical and Electronics Engineers Inc., pp. 193-195, 14th IEEE International Conference on Intelligence and Security Informatics, ISI 2015, Tucson, United States, 9/28/16. https://doi.org/10.1109/ISI.2016.7745467
Ercolani VJ, Patton MW, Chen H. Shodan visualized. In IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 193-195. 7745467 https://doi.org/10.1109/ISI.2016.7745467
Ercolani, Vincent J. ; Patton, Mark W. ; Chen, Hsinchun. / Shodan visualized. IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data, ISI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 193-195
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