Naggen: a Network Attack Graph GENeration tool
File(s)CNS17-Naggen-poster.pdf (2.74 MB)
Supporting information
Author(s)
Barrere, M
Lupu, EC
Type
Conference Paper
Abstract
Attack graphs constitute a powerful security tool aimed at modelling the many ways in which an attacker may compromise different assets in a network. Despite their usefulness in several security-related activities (e.g. hardening, monitoring, forensics), the complexity of these graphs can massively grow as the network becomes denser and larger, thus defying their practical usability. In this presentation, we first describe some of the problems that currently challenge the practical use of attack graphs. We then explain our approach based on core attack graphs, a novel perspective to address attack graph complexity. Finally, we present Naggen, a tool for generating, visualising and exploring core attack graphs. We use Naggen to show the advantages of our approach on different security applications.
Date Issued
2017-12-21
Date Acceptance
2017-08-13
Citation
2017 IEEE Conference on Communications and Network Security (CNS), 2017, pp.378-379
ISBN
9781538606834
Publisher
IEEE
Start Page
378
End Page
379
Journal / Book Title
2017 IEEE Conference on Communications and Network Security (CNS)
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
http://www.imperial.ac.uk/people/m.barrere
Grant Number
EP/L022729/1
Source
2017 IEEE Conference on Communications and Network Security, CNS 2017
Subjects
network security
attack graphs
core attack graphs
Naggen
cybersecurity
attack graph visualisation
digital forensics
computer security
Publication Status
Published
Start Date
2017-10-09
Finish Date
2017-10-11
Coverage Spatial
Las Vegas, USA
Date Publish Online
2017-12-21