@ARTICLE\{IMM2005-03407,
    author       = "J. Seigneur and C. D. Jensen",
    title        = "The Claim Tool Kit for ad hoc recognition of peer entities",
    year         = "2005",
    month        = "jan",
    keywords     = "Authentication; Ad hoc peer-to-peer; Auto-configuration; Performance",
    pages        = "49-71",
    journal      = "Science of Computer Programming",
    volume       = "54",
    editor       = "",
    number       = "1",
    publisher    = "Elsevier",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/3407-full.html",
    abstract     = "In ubiquitous/pervasive computing environments, it is envisaged that computing elements—entities—will start interacting in an ad hoc fashion. The peer-to-peer (p2p) paradigm is appealing for such types of interaction especially with {JXTA,} which supports the development of reusable p2p building blocks, which facilitate implementation on any smart device. However, the inability to rely on a centralised authentication infrastructure, the openness of the environment and the absence of an administrator (it is assumed to be too expensive to have a skilled administrator at hand due to the large number of peers) challenge the use of legacy authentication mechanisms.

Supporting spontaneous interactions among previously unknown entities requires dynamic enrolment of strangers and unknown entities. Entity recognition (ER) is a process that is carried out each time an interaction happens between entities in order to dynamically recognise previously met entities.

In this paper, we present the Claim Tool Kit (CTK), a Java-based implementation of {ER}: entities exchange messages, called Claims, and rely on their associated clues to evaluate the level of confidence in recognition.

The {CTK} employs advanced features available with Java, such as {JXTA} and Java Cryptography and Security Architectures. We show that the {CTK} needs performance results on these features in order to increase the level of auto-configuration of the {CTK}. We describe how to obtain performance assessment for some of these new features. Finally, we explain how the {CTK} can be instrumented to take into account performance assessment. By analysing the evaluation results, the applicability of these advanced Java-based technologies for peer entity recognition is assessed."
}