TY - GEN
T1 - Many-player inspection games in networked environments
AU - Gianini, Gabriele
AU - Damiani, Ernesto
AU - Mayer, Tobias R.
AU - Coquil, David
AU - Kosch, Harald
AU - Brunie, Lionel
PY - 2013
Y1 - 2013
N2 - In communication architectures, nodes are expected to spend their own resources so as to relay other nodes' messages or perform other services for the common good. However any selfish node, if given the opportunity, would typically prefer - to spare its own resources - to avoid serving the other nodes. This creates a potential problem to any collaborative protocol. A possible approach towards this issue consists in performing audits on the actions of the individual nodes, and applying some form of sanction to those whose misbehaviour has been detected during an inspection. However typically, auditing is costly and due to limited resources it can be carried on only on a sampling basis. It is clear that the rate of inspection has to be adapted to the rate of misbehavior, so as to strike a balance, from the point of view of the inspector, between the audit costs and the avoided damage to the system. Since the misbehaviour rate of rational agents is not predefined or fixed, but in turn depends from inspection rate, the overall behavior of the system made by inspectors and inspectees fits into a typical interdependent interaction landscape and can be modeled using Game Theory. The above described audit situation corresponds to a class of games known as Inspection Games. In this paper, we model several versions of Inspection Games (IGs), up to the most general case involving m inspectors and n inspectees. We resolve each game by computing the strategy that rational players would follow. Moreover, we also extend the IG model by taking into account the possibility of undetected violations, i.e. false negatives in the inspections.
AB - In communication architectures, nodes are expected to spend their own resources so as to relay other nodes' messages or perform other services for the common good. However any selfish node, if given the opportunity, would typically prefer - to spare its own resources - to avoid serving the other nodes. This creates a potential problem to any collaborative protocol. A possible approach towards this issue consists in performing audits on the actions of the individual nodes, and applying some form of sanction to those whose misbehaviour has been detected during an inspection. However typically, auditing is costly and due to limited resources it can be carried on only on a sampling basis. It is clear that the rate of inspection has to be adapted to the rate of misbehavior, so as to strike a balance, from the point of view of the inspector, between the audit costs and the avoided damage to the system. Since the misbehaviour rate of rational agents is not predefined or fixed, but in turn depends from inspection rate, the overall behavior of the system made by inspectors and inspectees fits into a typical interdependent interaction landscape and can be modeled using Game Theory. The above described audit situation corresponds to a class of games known as Inspection Games. In this paper, we model several versions of Inspection Games (IGs), up to the most general case involving m inspectors and n inspectees. We resolve each game by computing the strategy that rational players would follow. Moreover, we also extend the IG model by taking into account the possibility of undetected violations, i.e. false negatives in the inspections.
UR - http://www.scopus.com/inward/record.url?scp=84885820909&partnerID=8YFLogxK
U2 - 10.1109/DEST.2013.6611320
DO - 10.1109/DEST.2013.6611320
M3 - Conference contribution
AN - SCOPUS:84885820909
SN - 9781479907861
T3 - IEEE International Conference on Digital Ecosystems and Technologies
SP - 1
EP - 6
BT - 2013 7th IEEE International Conference on Digital Ecosystems and Technologies
T2 - 2013 7th IEEE International Conference on Digital Ecosystems and Technologies: Smart Planet and Cyber Physical Systems as Embodiment of Digital Ecosystems, DEST 2013
Y2 - 24 July 2013 through 26 July 2013
ER -