Router-Level Topologies of Autonomous Systems

Canbaz, Muhammed Abdullah; Bakhshaliyev, Khalid; Güneş, Mehmet Hadi

doi:10.1007/978-3-319-73198-8_21

Cited by 2 publications

(1 citation statement)

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“…The result shows that individual ASs have constant paths internally and end-to-end paths are more dynamic. Similarly, Canbaz et al 17 investigated the network characteristics of 19,614 backbone Ass, which provide peering connectivity to another customer ASs. Datasets for router-level probes were gathered from a variety of public internet topology measurement platforms.…”

Section: Related Workmentioning

confidence: 99%

Analysis of the vulnerability estimation and neighbor value prediction in autonomous systems

Rahmatov

Saeed

Paul

2022

Sci Rep

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The security within autonomous systems (AS)s is one of the important measures to keep network users safe and stable from the various type of Distributed Denial of Service (DDoS) attacks. Similar to the other existing attack types Internet control message protocol (ICMP) based attacks are remained open challenge on the Internet environment. In this study, we have proposed a method to estimate the vulnerability of 600 AS provider edge (PE) routers by sending ICMP packets and predicted AS neighbor values using least square regression (LSR) approach. The results of our study show that 265 AS PE routers are vulnerable due to ICMP flood attack from the 600 ASs which were analyzed. Additionally, we have predicted that about 60% of total AS neighbors will be reduced in the next 3 years. Our results indicate that some ASs still did not deploy the firewall system in the boundary of their networks. Similarly, we also observed that the majority of ASs which expected to have less neighbor values in the next 3 years is due to change their routing paths to find adjacent paths.

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Section: Related Workmentioning

confidence: 99%