A Matrix Factorization Based Network Embedding Method for DNS Analysis

Fuente: arXiv
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Main Author: Qin, Meng
Format: Preprint
Published: 2024
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author Qin, Meng
author_facet Qin, Meng
contents In this paper, I explore the potential of network embedding (a.k.a. graph representation learning) to characterize DNS entities in passive network traffic logs. I propose an MF-DNS-E (\underline{M}atrix-\underline{F}actorization-based \underline{DNS} \underline{E}mbedding) method to represent DNS entities (e.g., domain names and IP addresses), where a random-walk-based matrix factorization objective is applied to learn the corresponding low-dimensional embeddings.
format Preprint
id arxiv_https___arxiv_org_abs_2401_07410
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Matrix Factorization Based Network Embedding Method for DNS Analysis
Qin, Meng
Social and Information Networks
Cryptography and Security
In this paper, I explore the potential of network embedding (a.k.a. graph representation learning) to characterize DNS entities in passive network traffic logs. I propose an MF-DNS-E (\underline{M}atrix-\underline{F}actorization-based \underline{DNS} \underline{E}mbedding) method to represent DNS entities (e.g., domain names and IP addresses), where a random-walk-based matrix factorization objective is applied to learn the corresponding low-dimensional embeddings.
title A Matrix Factorization Based Network Embedding Method for DNS Analysis
topic Social and Information Networks
Cryptography and Security
url https://arxiv.org/abs/2401.07410