Feedback

Faculté des Sciences appliquées
Faculté des Sciences appliquées
MASTER THESIS
VIEW 117 | DOWNLOAD 30

Improving Network Fingerprinting

Download
Hoebreck, Florian ULiège
Promotor(s) : Donnet, Benoît ULiège
Date of defense : 26-Jun-2017/27-Jun-2017 • Permalink : http://hdl.handle.net/2268.2/2524
Details
Title : Improving Network Fingerprinting
Author : Hoebreck, Florian ULiège
Date of defense  : 26-Jun-2017/27-Jun-2017
Advisor(s) : Donnet, Benoît ULiège
Committee's member(s) : Mathy, Laurent ULiège
Leduc, Guy ULiège
Boigelot, Bernard ULiège
Language : English
Number of pages : 70
Keywords : [en] Network fingerprinting
[en] initial time-to-live
[en] network measurement
Discipline(s) : Engineering, computing & technology > Computer science
Target public : Researchers
Professionals of domain
Student
Complementary URL : https://github.com/fhoe/networkFingerprinting
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en ingénieur civil en informatique, à finalité spécialisée en "computer systems and networks"
Faculty: Master thesis of the Faculté des Sciences appliquées

Abstract

[en] Network fingerprinting is a technique that has several applications such as having a better knowledge of the components of a network, improving network security and helping alias resolution techniques. In this thesis, a network fingerprinting technique is developed based on certain values found in ICMP and TCP replies from routers. The main focus of the method is on initial time-to-live values used in those responses. Others values found in the same responses are then considered to obtain a more accurate classification.

This work is the continuation of a previous research on network fingerprinting where only two initial time-to-live values were considered. The focus of this master thesis is then to improve it by considering other possible values.

Results obtained by testing the technique in a campaign are promising. Major router brands could be discriminated in disjoint classes. This thesis also highlights values that can improve directly the classification and other that may be less useful. The correlation between the different values is also analyzed.


File(s)

Document(s)

File
Access thesis.pdf
Description: -
Size: 1.36 MB
Format: Adobe PDF
File
Access summary.pdf
Description: -
Size: 47.66 kB
Format: Adobe PDF

Author

  • Hoebreck, Florian ULiège Université de Liège > Master ingé. civ. info., à fin.

Promotor(s)

Committee's member(s)

  • Mathy, Laurent ULiège Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes informatiques répartis et sécurité
    ORBi View his publications on ORBi
  • Leduc, Guy ULiège Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques
    ORBi View his publications on ORBi
  • Boigelot, Bernard ULiège Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Informatique
    ORBi View his publications on ORBi
  • Total number of views 117
  • Total number of downloads 30










All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.