Cloud Telescope Internet Background Radiation August 2023
Fabricio Bortoluzzi, Lucas Beiler, Barry Irwin, Carla Westphall

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Type: Dataset
Tags: Cloud Telescope, Cloud Computing, Network Telescopes, Cyber Threat Intelligence Acquisition, Internet Background Noise, Internet Background Radiation. Darknet Traffic Analysis.

Bibtex:
@article{,
title= {Cloud Telescope Internet Background Radiation August 2023},
journal= {},
author= {Fabricio Bortoluzzi, Lucas Beiler, Barry Irwin, Carla Westphall},
year= {},
url= {},
abstract= {This dataset results from a 47-day Cloud Telescope Internet Background Radiation collection experiment conducted during the months of August and September 2023. A total amount of 260 EC2 instances (sensors) were deployed across all the 26 commercially available AWS regions at the time, 10 sensors per region. A Cloud Telescope sensor does not serve information. All traffic arriving to the sensor is unsolicited, and potentially malicious. Sensors were configured to allow all unsolicited traffic. In this experiment, we implemented high-level responders on TCP ports 23 and 80, coded in rust, to record the commands issued by botnets such as Mirai when they attempt to infect IoT devices. All other TCP ports were configured to only respond to connection requests until three-way handshake completion. This should enable TCP connection state analysis (syn,fin,ack,...). The architecture is reproducible. Terraform Infrastructure-As-Code is available at: https://github.com/lucasbeiler/ibr-iac},
keywords= {Cloud Telescope, Cloud Computing, Network Telescopes, Cyber Threat Intelligence Acquisition, Internet Background Noise, Internet Background Radiation. Darknet Traffic Analysis.},
terms= {},
license= {This work is licensed under CC BY 4.0. https://creativecommons.org/licenses/by/4.0/deed.en},
superseded= {}
}


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