| Title | Game Theoretical Approach with Audit Based Misbehavior Detection System |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Narayanan, G., Das, J. K., Rajeswari, M., Kumar, R. S. |
| Conference Name | 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT) |
| Keywords | Ad hoc networks, AMD, Audit based Misbehavior Detection system, Audit-based Misbehavior Detection, composability, compositionality, Conferences, continuous packet droppers, cryptography, dynamically shifting nodes, end-to-end encrypted traffic, GAMD, game theoretical approach, game theory, Games, incentive based reputation scheme, incentive schemes, MANET, MANET environment, misbehaving nodes, misbehavior nodes, mobile ad hoc networks, mobile ad-hoc networks, mobile nodes, Monitoring, multichannel networks, multihop ad hoc networks, node behavior, Peer-to-peer computing, per-packet basis, pubcrawl, Routing, Routing protocols, selective dropping attacks, selective packet droppers, Selfish node, supervisory game, telecommunication security, theoretical cryptography |
| Abstract | Mobile Ad-hoc Networks are dynamic in nature and do not have fixed infrastructure to govern nodes in the networks. The mission lies ahead in coordinating among such dynamically shifting nodes. The root problem of identifying and isolating misbehaving nodes that refuse to forward packets in multi-hop ad hoc networks is solved by the development of a comprehensive system called Audit-based Misbehavior Detection (AMD) that can efficiently isolates selective and continuous packet droppers. AMD evaluates node behavior on a per-packet basis, without using energy-expensive overhearing techniques or intensive acknowledgment schemes. Moreover, AMD can detect selective dropping attacks even in end-to-end encrypted traffic and can be applied to multi-channel networks. Game theoretical approaches are more suitable in deciding upon the reward mechanisms for which the mobile nodes operate upon. Rewards or penalties have to be decided by ensuring a clean and healthy MANET environment. A non-routine yet surprise alterations are well required in place in deciding suitable and safe reward strategies. This work focuses on integrating a Audit-based Misbehaviour Detection (AMD)scheme and an incentive based reputation scheme with game theoretical approach called Supervisory Game to analyze the selfish behavior of nodes in the MANETs environment. The proposed work GAMD significantly reduces the cost of detecting misbehavior nodes in the network. |
| DOI | 10.1109/ICICCT.2018.8473197 |
| Citation Key | narayanan_game_2018 |
Game Theoretical Approach with Audit Based Misbehavior Detection System