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The Importance of Open-Source Intelligence in Assessing Risks of Cyberattacks

Publiceringsår

2024

Upphovspersoner

Rajamäki, Jyri; McMenamin, Stephen; Tiitta, Krista

Abstrakt

Open-Source Intelligence (OSINT) is becoming increasingly vital in cybersecurity as digital platforms evolve. Advanced OSINT tools, incorporating artificial intelligence and machine learning, enhance organizations’ ability to process and analyze large amounts of open-source data. This paper highlights OSINT’s role in risk assessment to prevent cyberattacks. The research focused on OSINT tools and techniques, emphasizing the need for expertise in identifying relevant information and respecting privacy. An OSINT operational process was developed for a critical sector company and then used to conduct a vulnerability assessment. The organization is kept anonymous due to its national security role. The goal was to integrate OSINT into the organization’s cybersecurity framework. Permission was obtained before conducting a thorough OSINT test, using tools such as Maltego, SpiderFoot, Google, and Google Maps. Data collection was swift, and relevant information was easily found. The collected data was analyzed, cross-verified, and compiled into a report, which was then reviewed with the subject to provide protection advice online. The paper demonstrates OSINT’s effectiveness in enhancing organizational security and provides recommendations for using OSINT to identify vulnerabilities, reduce risks, and strengthen cybersecurity practices.
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Organisationer och upphovspersoner

Publikationstyp

Publikationsform

Artikel

Moderpublikationens typ

Konferens

Artikelstyp

Annan artikel

Målgrupp

Vetenskaplig

Kollegialt utvärderad

Kollegialt utvärderad

UKM:s publikationstyp

A4 Artikel i en konferenspublikation

Publikationskanalens uppgifter

Förläggare

ProCon Ltd

Volym

55

Nummer

1

Sidor

15-31

Publikationsforum

88143

Publikationsforumsnivå

0

Öppen tillgång

Öppen tillgänglighet i förläggarens tjänst

Ja

Öppen tillgång till publikationskanalen

Helt öppen publikationskanal

Licens för förläggarens version

CC BY NC

Parallellsparad

Nej

Övriga uppgifter

Vetenskapsområden

Data- och informationsvetenskap

Nyckelord

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Publiceringsland

Bulgarien

Förlagets internationalitet

Internationell

Språk

engelska

Internationell sampublikation

Ja

Sampublikation med ett företag

Nej

DOI

10.11610/isij.5511

Publikationen ingår i undervisnings- och kulturministeriets datainsamling

Ja