Modeling tools for detecting DoS attacks in WSNs

Abstract : Detecting Denial of Service (DoS) attacks and reducing the energy consumption are two important and frequent requirements in Wireless Sensor Networks (WSNs). In this paper, we propose an energy-preserving solution to detect compromised nodes in hierarchically clustered WSNs. DoS detection is based on using dedicated inspector nodes (cNodes) whose role is to analyze the traffic inside a cluster and to send warnings to the cluster-head whenever an abnormal behavior (i.e. high packets throughput) is detected. With previously introduced DoS detection schema cNodes are statically displaced in strategic positions within the network topology. This guarantees a good detection coverage but leads to quickly draining cNodes battery. In this paper we propose a dynamic cNodes displacement schema according to which cNodes are periodically elected among ordinary nodes of each atomic cluster. Such a solution results in a better energy balance while maintaining good detection coverage. We analyze the tradeoffs between static and dynamic solutions by means of two complementary approaches: through simulation with the NS2 simulation platform and by means of statistical model checking with the Hybrid Automata Stochastic Logic.
Type de document :
Article dans une revue
Security and communication networks, John Wiley & Sons, Ltd, 2013, 6 (4), pp.420-436. 〈10.1002/sec〉
Liste complète des métadonnées

Littérature citée [3 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01817483
Contributeur : Paolo Ballarini <>
Soumis le : lundi 18 juin 2018 - 09:16:25
Dernière modification le : mercredi 5 décembre 2018 - 11:18:02
Document(s) archivé(s) le : mercredi 19 septembre 2018 - 15:10:14

Fichier

revueFev2012.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Paolo Ballarini, Lynda Mokdad, Quentin Monnet. Modeling tools for detecting DoS attacks in WSNs. Security and communication networks, John Wiley & Sons, Ltd, 2013, 6 (4), pp.420-436. 〈10.1002/sec〉. 〈hal-01817483〉

Partager

Métriques

Consultations de la notice

36

Téléchargements de fichiers

20