Abnormal Behavior-Based Detection of Shodan and Censys-Like Scanning

@article{Lee2017AbnormalBD,
  title={Abnormal Behavior-Based Detection of Shodan and Censys-Like Scanning},
  author={Seungwoon Lee and Seung-Hun Shin and Byeong-Hee Roh},
  journal={2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN)},
  year={2017},
  pages={1048-1052}
}
Shodan and Censys, also known as IP Device search engines, build searchable databases of internet devices and networks. Even these tools are useful for security, those also can provide the vulnerabilities to malicious users. To prevent the information disclosure of own IP devices on those search engines, a fundamental solution is blocking the access from the scanners of them. Therefore, it is needed to understand and consider their scanning mechanism. Therefore, we propose an abnormal behavior… CONTINUE READING
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