Simone Cossaro (University of Trieste), Damiano Ravalico (University of Trieste), Rodolfo Vieira Valentim (University of Turin), Martino Trevisan (University of Trieste), Idilio Drago (University of Turin)

Network telescopes (IP addresses hosting no services) are valuable for observing unsolicited Internet traffic from scanners, crawlers, botnets, and misconfigured hosts. This traffic is known as Internet radiation, and its monitoring with telescopes helps in identifying malicious activities. Yet, the deployment of telescopes is expensive. Meanwhile, numerous public blocklists aggregate data from various sources to track IP addresses involved in malicious activity. This raises the question of whether public blocklists already provide sufficient coverage of these actors, thus rendering new network telescopes unnecessary. We address this question by analyzing traffic from four geographically distributed telescopes and dozens of public blocklists over a two-month period. Our findings show that public blocklists include approximately 71% of IP addresses observed in the telescopes. Moreover, telescopes typically observe scanning activities days before they appear in blocklists. We also find that only 4 out of 50 lists contribute the majority of the coverage, while the addresses evading blocklists present more sporadic activity. Our results demonstrate that distributed telescopes remain valuable assets for network security, providing early detection of threats and complementary coverage to public blocklists. These results call for more coordination among telescope operators and blocklist providers to enhance the defense against emerging threats.

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Xiangzhe Xu (Purdue University), Zhuo Zhang (Purdue University), Zian Su (Purdue University), Ziyang Huang (Purdue University), Shiwei Feng (Purdue University), Yapeng Ye (Purdue University), Nan Jiang (Purdue University), Danning Xie (Purdue University), Siyuan Cheng (Purdue University), Lin Tan (Purdue University), Xiangyu Zhang (Purdue University)

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Jiawen Zhang (Zhejiang University), Xinpeng Yang (Zhejiang University), Lipeng He (University of Waterloo), Kejia Chen (Zhejiang University), Wen-jie Lu (Zhejiang University), Yinghao Wang (Zhejiang University), Xiaoyang Hou (Zhejiang University), Jian Liu (Zhejiang University), Kui Ren (Zhejiang University), Xiaohu Yang (Zhejiang University)

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