7 research outputs found

    Knowledge representation to support partially automated honeypot analysis based on Wireshark packet capture files

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    The automation of packet analysis, even partially, is very much desired, because packet analysis is time-consuming and requires technical knowledge and skills. This paper presents the Packet Analysis Ontology (PAO), a novel OWL ontology that covers the terminology of packet analysis, including concepts and properties, as well as their restrictions, to be used for knowledge representation and automated reasoning in this field. This ontology defines protocols and ports required for capturing the semantics of network activities, many of which are not defined in any other ontology

    The LapSim virtual reality simulator: promising but not yet proven

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    Background: The acquisition of technical skills using surgical simulators is an area of active research and rapidly evolving technology. The LapSim is a virtual reality simulator that currently allows practice of basic laparoscopic skills and some procedures. To date, no reviews have been published with reference to a single virtual reality simulator. Methods: A PubMed search was performed using the keyword "LapSim," with further papers identified from the citations of original search articles. Results: Use of the LapSim to develop surgical skills has yielded overall results, although inconsistencies exist. Data regarding the transferability of learned skills to the operative environment are encouraging as is the validation work, particularly the use of a combination of measured parameters to produce an overall comparative performance score. Conclusion: Although the LapSim currently does not have any proven significant advantages over video trainers in terms of basic skills instruction and although the results of validation studies are variable, the potential for such technology to have a huge impact on surgical training is apparent. Work to determine standardized learning curves and proficiency criteria for different levels of trainees is incomplete. Moreover, defining which performance parameters measured by the LapSim accurately determine laparoscopic skill is complex. Further technological advances will undoubtedly improve the efficacy of the LapSim, and the results of large multicenter trials are anticipated.Katherine Fairhurst, Andrew Strickland and Guy Madder
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