The complexity and scale of Internet attacks call for distributed, cooperative observatories capable of monitoring malicious traffic across diverse networks. Holoscope is a lightweight, cloud-native platform designed to simplify the deployment and management of distributed telescope (passive) and honeypot (active) sensors, used to collect and analyse attack traffic by exposing or simulating vulnerable systems. Built upon K3s and WireGuard, Holoscope offers secure connectivity, automated node onboarding, and resilient operation even in resource-constrained environments. Through modular design and Infrastructure-as-Code principles, it supports dynamic sensor orchestration, automated recovery and processing. We build, deploy and operate Holoscope across multiple institutions and cloud networks in Europe and Brazil, enabling unified visibility into large-scale attack phenomena while maintaining ease of integration and security compliance.

Holoscope: Open and Lightweight Distributed Telescope & Honeypot Platform

Idilio Drago;Rodolfo Valentim;
2025-01-01

Abstract

The complexity and scale of Internet attacks call for distributed, cooperative observatories capable of monitoring malicious traffic across diverse networks. Holoscope is a lightweight, cloud-native platform designed to simplify the deployment and management of distributed telescope (passive) and honeypot (active) sensors, used to collect and analyse attack traffic by exposing or simulating vulnerable systems. Built upon K3s and WireGuard, Holoscope offers secure connectivity, automated node onboarding, and resilient operation even in resource-constrained environments. Through modular design and Infrastructure-as-Code principles, it supports dynamic sensor orchestration, automated recovery and processing. We build, deploy and operate Holoscope across multiple institutions and cloud networks in Europe and Brazil, enabling unified visibility into large-scale attack phenomena while maintaining ease of integration and security compliance.
2025
http://arxiv.org/abs/2512.19842v1
Computer Science - Distributed; Parallel; and Cluster Computing; Computer Science - Distributed; Parallel; and Cluster Computing
Andrea Sordello; Marco Mellia; Idilio Drago; Rodolfo Valentim; Francesco Musumeci; Massimo Tornatore; Federico Cerutti; Martino Trevisan; Alessio Bott...espandi
File in questo prodotto:
File Dimensione Formato  
2512.19842v1.pdf

Accesso aperto

Tipo di file: POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione 1.45 MB
Formato Adobe PDF
1.45 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2118493
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact