Identificação de Endereços IP Dinâmicos com Dados Públicos

  • Gabriel Pains de Oliveira Cardoso UFMG
  • Leonardo B. Oliveira UFMG
  • Ítalo Cunha UFMG

Resumo


Introduzimos o DynMap, um sistema para identificar endereços IPs alocados dinamicamente. O DynMap rastreia dispositivos utilizando assinaturas de certificados HTTPS, disponíveis publicamente, tornando-o geral e utilizável por qualquer operador. Nós avançamos o estado da arte desenvolvendo mecanismos para lidar com certificados HTTPS compartilhados por diversos dispositivos, proxies e balanceadores de carga. Nós aplicamos o DynMap num conjunto de dados e mostramos que o DynMap identifica IPs claramente dinâmicos.

Referências

Dan, Ovidiu, Vaibhav Parikh e Brian D. Davison (2021). “IP Geolocation through Reverse DNS”. Em: ACM Trans. Internet Technol. DOI: 10.1145/3457611.

Fiebig, Tobias, Kevin Borgolte, Shuang Hao, Christopher Kruegel, Giovanni Vigna e Anja Feldmann (2018). “In rDNS We Trust: Revisiting a Common Data-Source’s Reliability”. Em: Passive and Active Measurement. Springer International Publishing. DOI: 10.1007/978-3-319-76481-8_10.

Jin, Yu, Esam Sharafuddin e Zhi Li Zhang (2007). “Identifying dynamic IP address blocks serendipitously through background scanning traffic”. Em: Proceedings of the 2007 ACM CoNEXT Conference. Association for Computing Machinery. DOI: 10.1145/1364654.1364659.

Marder, Alexander, Matthew Luckie, Amogh Dhamdhere, Bradley Huffaker, kc claffy e Jonathan M. Smith (2018). “Pushing the Boundaries with bdrmapIT: Mapping Router Ownership at Internet Scale”. Em: Proceedings of the Internet Measurement Conference 2018. Association for Computing Machinery. DOI: 10.1145/3278532.3278538.

Martin, Husák, Čermák Milan, Jirsík Tomáš e Čeleda Pavel (2016). “HTTPS traffic analysis and client identification using passive SSL/TLS fingerprinting”. Em: EURASIP Journal on Information Security. DOI: 10.1186/s13635-016-0030-7.

Nakamori, Tomofumi, Daiki Chiba, Mitsuaki Akiyama e Shigeki Goto (2019). “Detecting Dynamic IP Addresses and Cloud Blocks Using the Sequential Characteristics of PTR Records”. Em: Journal of Information Processing. DOI: 10.2197/ipsjjip.27.525.

Richter, Philipp, Georgios Smaragdakis, David Plonka e Arthur Berger (2016). “Beyond Counting: New Perspectives on the Active IPv4 Address Space”. Em: Proceedings of the Internet Measurement Conference 2016. Association for Computing Machinery. DOI: 10.1145/2987443.2987473.

Sankar, Vedha, Varsha Bharanikumar e Lakshmi Swaminathan (2024). “Dynamic Load Balancing and Resource Optimization Algorithm for Reverse Proxy Servers”. Em: 2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS). DOI: 10.1109/ICC-ROBINS60238.2024.10533888.

Tundis, Andrea, Wojciech Mazurczyk e Max Mühlhäuser (2018). “A review of network vulnerabilities scanning tools: types, capabilities and functioning”. Em: Proceedings of the 13th International Conference on Availability, Reliability and Security. Association for Computing Machinery. DOI: 10.1145/3230833.3233287.

Xiao, Zhen, Weijia Song e Qi Chen (2013). “Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment”. Em: IEEE Transactions on Parallel and Distributed Systems. DOI: 10.1109/TPDS.2012.283.

Xie, Yinglian, Fang Yu, Kannan Achan, Eliot Gillum, Moises Goldszmidt e Ted Wobber (2007). “How Dynamic are IP Addresses?” Em: Proceedings of the 2007 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications. Association for Computing Machinery. DOI: 10.1145/1282380.1282415.
Publicado
16/09/2024
CARDOSO, Gabriel Pains de Oliveira; OLIVEIRA, Leonardo B.; CUNHA, Ítalo. Identificação de Endereços IP Dinâmicos com Dados Públicos. In: SIMPÓSIO BRASILEIRO DE SEGURANÇA DA INFORMAÇÃO E DE SISTEMAS COMPUTACIONAIS (SBSEG), 24. , 2024, São José dos Campos/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024 . p. 822-828. DOI: https://doi.org/10.5753/sbseg.2024.241681.

Artigos mais lidos do(s) mesmo(s) autor(es)

1 2 3 > >>