Capturing and Identifying Background Internet Radiation Events

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Abstract/Contents

Abstract: Analysing traffic captured on darknets is a useful way to find patterns in network scanning, denial-of-service backscatter, and other internet phenomena known collectively as background internet radiation. However, the most recent large-scale analysis of such patterns was conducted in 2014. Since then, the nature of actors and threats on the internet has changed dramatically. In this thesis, we develop a darknet analysis system that can analyse darknet traffic both retrospectively and in real-time to highlight trends in background internet radiation. We then use this system to examine the modern scanning landscape by analysing scan traffic captured in March 2020. We present profiles of common scan targets, scan origins, and pattern variation in differently-sized scans. We find that scanning has changed significantly in the past six years and note the impact of the Internet of Things on scanning trends.

Type of resource	text
Date created	May 2020

Author	Edwards, Conrad
Degree granting institution	Stanford University, Department of Computer Science

Subject	scanning
Subject	darknet
Subject	internet telescope
Subject	background internet radiation
Genre	Thesis

Location	https://purl.stanford.edu/xx957nh4653

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License: This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Preferred Citation: Edwards, Conrad. (2020). Capturing and Identifying Background Internet Radiation Events. Stanford Digital Repository. Available at: https://purl.stanford.edu/xx957nh4653

Undergraduate Theses, School of Engineering

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