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Autonomic computing environments rely on devices that are able to make intelligent decisions without human supervision. Automated Trust Negotiation supports the cooperation of devices with no prior trust relationship. They can reach an agreement by iteratively exchanging credentials during a negotiation process. These credentials can serve as authorization tokens or may carry information that becomes a parameter of the further service usage. A careful negotiation strategy helps in protecting sensitive credentials that must only be available to authorized entities. We introduce the VersaTrust framework that supports a stateless negotiation protocol to reach comprehensive agreements. We argue how this approach applies to autonomic environments and demonstrate its scalability. [ABSTRACT FROM AUTHOR]

The fact that security is a critical problem when implementing mobile ad hoc networks (MANETs) is widely acknowledged. One of the different kinds of misbehavior a node may exhibit is selfishness. A selfish node wants to preserve own resources while using the services of others and consuming their resources. One way of preventing selfishness in a MANET is a detection and exclusion mechanism. In this paper, we focus on the detection phase and present different kinds of sensors that can be used to find selfish nodes. First we present simulation results that show the negative effects which selfish nodes cause in MANET. In the related work section we will analyze some of the detection mechanisms proposed in literature so far. Our new detection mechanisms described next are called activity-based overhearing, iterative probing, and unambiguous probing. Simulation-based analysis of these mechanisms show that they are highly effective and can reliably detect a multitude of selfish behaviors. [ABSTRACT FROM AUTHOR]