Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Privacy-Invasive Software
Ansvarig organisation
2010 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

As computers are increasingly more integrated into our daily lives we become more dependent on software. This situation is exploited by villainous actors on the Internet that distribute malicious software in search for fast financial gains on the expense of deceived computer users. As a result, computer users need more accurate and aiding mechanisms to assist them when separating legitimate software from its unwanted counterparts. However, such separations are complicated due to a greyzone of software that exists between legitimate and purely malicious software. The software in this greyzone often vaguely labeled spyware. This work introduce both user-aiding mechanisms and an attempt to clarify the greyzone by introducing the concept of privacy-invasive software (PIS) as a category of software that ignores the users’ right to be left alone. Such software is distributed with a specific intent (often of commercial nature), which negatively affect the users to various degree. PIS is therefore classified with respect to the degree of informed consent and the amount of negative consequences for the users. To mitigate the effects from PIS, two novel mechanisms for safeguarding user consent during software installation are introduced; a collaborative software reputation system; and an automated End User License Agreement (EULA) classification. In the software reputation system, users collaborate by sharing experiences of previously used software programs, allowing new users to rely on the collective experience when installing software. The EULA classification generalizes patterns from a set of both legitimate and questionable software EULAs, so that computer users can automatically classify previously unknown EULAs as belonging to legitimate software or not. Both techniques increase user awareness about software program behavior, which allow users to make more informed decisions concerning software installations, which arguably reduces the threat from PIS. We present experimental results showing the ability of a set of machine learning algorithms ability to perform automated EULA classification. In addition, we also present a prototype implementation of a software reputation system, together with simulation results of the large-scale use of the system.

Ort, förlag, år, upplaga, sidor
Karlskrona: Blekinge Institute of Technology , 2010.
Serie
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 2
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:bth-00459Lokalt ID: oai:bth.se:forskinfo6CDBBEAAE64FA8C4C12576DA00380637ISBN: 978-91-7295-177-8 (tryckt)OAI: oai:DiVA.org:bth-00459DiVA, id: diva2:835533
Tillgänglig från: 2012-09-18 Skapad: 2010-03-02 Senast uppdaterad: 2018-01-11Bibliografiskt granskad

Open Access i DiVA

fulltext(3126 kB)1253 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 3126 kBChecksumma SHA-512
876ac7358501b3ba81ca493dc780c4cc599316e9449c8e803b585191d490329d48d6d8eada43d63a8ef75ee4ee29c67fdc2ce7822254d4c73bc058d390f2c964
Typ fulltextMimetyp application/pdf

Personposter BETA

Boldt, Martin

Sök vidare i DiVA

Av författaren/redaktören
Boldt, Martin
Datavetenskap (datalogi)

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 1253 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

isbn
urn-nbn

Altmetricpoäng

isbn
urn-nbn
Totalt: 328 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf