2026-06-05T15:30:28Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/145712026-02-03T11:18:19Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Rubio, Juan E.
author
Alcaraz-Tello, María Cristina
author
López, Javier
2017-10-03T08:57:11Z
2017-10-03T08:57:11Z
2017-10-03
http://hdl.handle.net/10630/14571
http://orcid.org/0000-0003-0545-3191
An Advanced Persistent Threat (APT) is an emerging attack against Industrial Control and Automation Systems, that is executed over a long period of time and is difficult to detect. In this context, graph theory can be applied to model the interaction among nodes and the complex attacks affecting them, as well as to design recovery techniques that ensure the survivability of the network. Accordingly, we leverage a decision model to study how a set of hierarchically selected nodes can collaborate to detect an APT within the network, concerning the presence of changes in its topology. Moreover, we implement a response service based on redundant links that dynamically uses a secret sharing scheme and applies a flexible routing protocol depending on the severity of the attack. The ultimate goal is twofold: ensuring the reachability between nodes despite the changes and preventing the path followed by messages from being discovered.
eng
by-nc-nd
Redes de ordenadores
Preventing Advanced Persistent Threats in Complex Control Networks
journal article
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URL
https://riuma.uma.es/bitstreams/975f901b-9d0f-4efe-8a71-bff5b780e1aa/download
File
MD5
c713762b296bc1b98c94e9ffd093ca0a
1212218
application/pdf
manuscript.pdf