Högskolan i Skövde

his.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
A Model for the Creation of Biographical Dictionaries
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningsmiljön Informationsteknologi. (Informationssystem (IS), Information Systems)ORCID-id: 0000-0001-5692-4008
Högskolan i Skövde, Institutionen för informationsteknologi.ORCID-id: 0000-0002-6867-172X
Högskolan i Skövde, Institutionen för informationsteknologi. Högskolan i Skövde, Forskningsmiljön Informationsteknologi. (Informationssystem (IS), Information Systems)ORCID-id: 0000-0003-2084-9119
2022 (engelsk)Inngår i: Proceedings of the 8th International Workshop on Socio-Technical Perspective in Information Systems Development (STPIS 2022): Hybrid conference in Reykjavik, Iceland, August 19-20, 2022 / [ed] Peter Bednar; Anna Sigridur Islind; Helena Vallo Hult; Alexander Nolte; Mikko Rajanen; Fatema Zaghloul; Aurelio Ravarini; Alessio Maria Braccini, CEUR-WS , 2022, s. 165-172Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The use of encryption is increasing, and while that is good for cybersecurity it is a core challenge for digital forensics. Encrypted information cannot be analyzed unless it is first decrypted, which is a complex and time-consuming process. Using a brute force attack to guess the password used for encryption is deemed impractical as even a simple password, being long enough, could take weeks, months, or even years to find. A more feasible approach is to use a dictionary attack where each word in a list is tested. However, a dictionary attack is only successful if the password is in the list, making the process of creating that list a crucial part of decrypting passwords. This research builds on existing literature showing that users commonly use strategies to create passwords, and the aim is to propose a method for creating dictionaries that are grounded in theories of password construction. An initial model was developed using a selective literature review with the purpose of identifying common elements included in biographical passwords, and in what order the elements are used. To improve the model, the study utilized semi-structured interviews with forensic experts from the Swedish police and the Swedish National Forensic Center (NFC). The main contribution of this research is a readily available model for creating dictionaries that can be used by practitioners. The model can also serve as a theoretical contribution that describes how users commonly construct biographical passwords.

sted, utgiver, år, opplag, sider
CEUR-WS , 2022. s. 165-172
Serie
CEUR Workshop Proceedings, ISSN 1613-0073 ; 3239
Emneord [en]
passwords, biographical dictionary, password cracking, digital forensics
HSV kategori
Forskningsprogram
Informationssystem (IS)
Identifikatorer
URN: urn:nbn:se:his:diva-21949Scopus ID: 2-s2.0-85139846312OAI: oai:DiVA.org:his-21949DiVA, id: diva2:1703640
Konferanse
8th International Workshop on Socio-Technical Perspective in Information Systems Development (STPIS 2022) Hybrid conference in Reykjavik, Iceland, August 19-20, 2022
Merknad

CC BY 4.0

Tilgjengelig fra: 2022-10-14 Laget: 2022-10-14 Sist oppdatert: 2025-09-29bibliografisk kontrollert

Open Access i DiVA

fulltext(431 kB)466 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 431 kBChecksum SHA-512
b69407c2873b705ca3d7c9206e0a75ae5e403cf5c94a93fbe41fd1b7e380e29387fff14808c33e1d10988ea57849de52b1e39613ec8efe9b64c937456be76105
Type fulltextMimetype application/pdf

Andre lenker

ScopusFree Fulltext

Person

Birath, MarcusKävrestad, Joakim

Søk i DiVA

Av forfatter/redaktør
Birath, MarcusGinman, JohanKävrestad, Joakim
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 556 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 1010 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf