An Open Source Intelligence (OSINT) Framework for Online Investigations
Masud, Muhammad (2019-06-06)
An Open Source Intelligence (OSINT) Framework for Online Investigations
Masud, Muhammad
(06.06.2019)
Julkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.
suljettu
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2019061720749
https://urn.fi/URN:NBN:fi-fe2019061720749
Tiivistelmä
Cybersecurity is an immense issue nowadays because of the damaging consequences instigated by cyber-attacks which could lead to the outflow of classified documents, infrastructure breakdown and revenues deficit. It is therefore important for security analysts to remain vigilant about every kind of security threat, by getting all relevant information about the latest patches, attacks, vulnerabilities, exploits, and security newsfeeds. They can also collect and manage Open Source Intelligence (OSINT) from numerous publicly available sources such as websites, forums, social media including resources available only on DeepWeb and DarkWeb.
In a broad perspective, the challenge is to discover chunks of information which could then be organized, integrated and examined. It is nonetheless a time-consuming task, which does not always guarantee to discover relevant information, besides having challenges concerning to the volume and verification of information. So to decrease the amount of information and subsequent time, there are various tools, techniques and frameworks which in conjunction with gathering OSINT can also process to filter significant parts of information. In this thesis, such frameworks will be reviewed, based on which a pre-configured virtual machine will be created from the perspective of conducting online investigations.
In a broad perspective, the challenge is to discover chunks of information which could then be organized, integrated and examined. It is nonetheless a time-consuming task, which does not always guarantee to discover relevant information, besides having challenges concerning to the volume and verification of information. So to decrease the amount of information and subsequent time, there are various tools, techniques and frameworks which in conjunction with gathering OSINT can also process to filter significant parts of information. In this thesis, such frameworks will be reviewed, based on which a pre-configured virtual machine will be created from the perspective of conducting online investigations.