Christopher Bennett, AbdelRahman Abdou, and Paul C. van Oorschot (School of Computer Science, Carleton University, Canada)

Engines that scan Internet-connected devices allow for fast retrieval of useful information regarding said devices, and their running services. Examples of such engines include Censys and Shodan. We present a snapshot of our in-progress effort towards the characterization and systematic evaluation of such engines, herein focusing on results obtained from an empirical study that sheds light on several aspects. These include: the freshness of a result obtained from querying Censys and Shodan, the resources they consume from the scanned devices, and several interesting operational differences between engines observed from the network edge. Preliminary results confirm that the information retrieved from both engines can reflect updates within 24 hours, which aligns with implicit usage expectations in recent literature. The results also suggest that the consumed resources appear insignificant for common Internet applications, e.g., one full application-layer connection (banner grab) per port, per day. Results so far highlight the value of such engines to the research community

View More Papers

Detecting Tor Bridge from Sampled Traffic in Backbone Networks

Hua Wu (School of Cyber Science & Engineering and Key Laboratory of Computer Network and Information Integration Southeast University, Ministry of Education, Jiangsu Nanjing, Purple Mountain Laboratories for Network and Communication Security (Nanjing, Jiangsu)), Shuyi Guo, Guang Cheng, Xiaoyan Hu (School of Cyber Science & Engineering and Key Laboratory of Computer Network and Information Integration…

Read More

Bringing Balance to the Force: Dynamic Analysis of the...

Abdallah Dawoud (CISPA Helmholtz Center for Information Security), Sven Bugiel (CISPA Helmholtz Center for Information Security)

Read More

The Fault in Our Stars: An Analysis of GitHub...

Simon Koch, David Klein, and Martin Johns (TU Braunschweig)

Read More