A Reproducibility Study of "IP Spoofing Detection in Inter-Domain Traffic"

11/12/2019
by   Jasper Eumann, et al.
0

IP spoofing enables reflection and amplification attacks, which cause major threats to the current Internet infrastructure. IP packets with incorrect source addresses would help to improve the situation. This is easy at the attacker's network, but very challenging at Internet eXchange Points (IXPs) or in transit networks. In this reproducibility study, we revisit the paper Detection, Classification, and Analysis of Inter-Domain Traffic with Spoofed Source IP Addresses published at ACM IMC 2017. Using data from a different IXP and from a different time, we were not able to reproduce the results. Unfortunately, our analysis shows that the current state of art does introduce a methodology that does not comply with common real-world deployment.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/09/2020

The Closed Resolver Project: Measuring the Deployment of Source Address Validation of Inbound Traffic

Source Address Validation (SAV) is a standard aimed at discarding packet...
research
03/15/2021

BGPeek-a-Boo: Active BGP-based Traceback for Amplification DDoS Attacks

Amplification DDoS attacks inherently rely on IP spoofing to steer attac...
research
07/08/2021

Longitudinal Study of an IP Geolocation Database

IP geolocation - the process of mapping network identifiers to physical ...
research
06/18/2018

Mending Wall: On the Implementation of Censorship in India

This paper presents a study of the Internet infrastructure in India from...
research
05/18/2020

NXNSAttack: Recursive DNS Inefficiencies and Vulnerabilities

The Domain Name System (DNS) infrastructure, a most critical system the ...
research
01/24/2023

Source Address Validation

Source address validation (SAV) is a standard formalized in RFC 2827 aim...
research
06/26/2019

A wrinkle in time: A case study in DNS poisoning

The Domain Name System (DNS) provides a translation between readable dom...

Please sign up or login with your details

Forgot password? Click here to reset