A Reputation-Based Coalition Game to Prevent Smart Insider Jamming Attacks in MANETs - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2016

A Reputation-Based Coalition Game to Prevent Smart Insider Jamming Attacks in MANETs

Taiwo Oyedare
  • Fonction : Auteur
  • PersonId : 998248
Ashraf Al Sharah
  • Fonction : Auteur
  • PersonId : 998249
Sachin Shetty
  • Fonction : Auteur
  • PersonId : 998250

Résumé

Mobile Adhoc Networks (MANET) are susceptible to jamming attacks which can inhibit data transmissions. There has been considerable work done in the detection of external jamming attacks. However, detection of insider jamming attack in MANET has not received enough attention. The presence of an insider node that has constantly monitored the network and is privy to the network secrets can acquire sufficient information to cause irreparable damage. In this paper we propose a framework for a novel reputation-based coalition game between multiple players in a MANET to prevent internal attacks caused by an erstwhile legitimate node. A grand coalition is formed which will make a strategic security defense decision by depending on the stored transmission rate and reputation for each individual node in the coalition. Our results show that the simulation of the reputation-based coalition game would help improve the network’s defense strategy while also reducing false positives that results from the incorrect classification of unfortunate legitimate nodes as insider jammers.
Fichier principal
Vignette du fichier
417220_1_En_19_Chapter.pdf (342.5 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01434855 , version 1 (13-01-2017)

Licence

Identifiants

Citer

Taiwo Oyedare, Ashraf Al Sharah, Sachin Shetty. A Reputation-Based Coalition Game to Prevent Smart Insider Jamming Attacks in MANETs. 14th International Conference on Wired/Wireless Internet Communication (WWIC), May 2016, Thessaloniki, Greece. pp.241-253, ⟨10.1007/978-3-319-33936-8_19⟩. ⟨hal-01434855⟩
71 Consultations
154 Téléchargements

Altmetric

Partager

More