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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Publikationstyp
Publikationsform
Artikel
Moderpublikationens typ
Konferens
Artikelstyp
Annan artikel
Målgrupp
VetenskapligKollegialt utvärderad
Kollegialt utvärderadUKM:s publikationstyp
A4 Artikel i en konferenspublikationPublikationskanalens uppgifter
Förläggare
Volym
55
Nummer
1
Sidor
15-31
ISSN
Publikationsforum
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
[object Object],[object Object],[object Object]
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