• English
    • Norsk
    • English
    • Norsk
  • Administration
View Item 
  •   Home
  • Det matematisk-naturvitenskapelige fakultet
  • Institutt for informatikk
  • Institutt for informatikk
  • View Item
  •   Home
  • Det matematisk-naturvitenskapelige fakultet
  • Institutt for informatikk
  • Institutt for informatikk
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Passive Fingerprinting of Known Operating Systems using Deep Learning Techniques

Løland, Martin Veshovda
Master thesis
View/Open
Passive_Fingerp ... iques_Martin_V_Loeland.pdf (1.544Mb)
Year
2019
Permanent link
http://urn.nb.no/URN:NBN:no-73477

Metadata
Show metadata
Appears in the following Collection
  • Institutt for informatikk [3113]
Abstract
Passive fingerprinting with a Deep Learning approach. The approach is compared to three well established machine learning algorithms; SVM, KNN and Random Forest. A never before used value for fingerprinting, the TCP Congestion Control Algorithm, was evaluated as a feature.
 
Responsible for this website 
Universitetsbiblioteket i Oslo


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy
 

 

For students / employeesSubmit master thesisAccess to restricted material

Browse

All of DUOCommunities & CollectionsBy Issue DateAuthorsTitlesThis CollectionBy Issue DateAuthorsTitles

For library staff

Login

Statistics

View Usage Statistics
RSS Feeds
 
Responsible for this website 
Universitetsbiblioteket i Oslo


Contact Us 
duo-hjelp@ub.uio.no


Privacy policy