Abstract
Cyber-networks are characterized by two distinct types of nodes—devices and users—and by voluminous interactions in real time. All computational intelligence approaches to the analysis of these networks must deal with complexities of these interactions and their high data rates. This paper describes a computationally feasible approach to querying large cyber-networks using word-based queries. The attribute memberships and connection strengths in these cyber-networks are described granularly using appropriate vocabularies of words, where the words themselves are modeled using interval type-2 (IT2) fuzzy membership functions (MF) on an appropriate scale. By employing precomputation and storage of these word representations and queries, automated monitoring functions in large cyber-networks can be performed in real time via simple arithmetic calculations. We provide an illustrative example using data from a real cyber-network.
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Acknowledgements
This material is based on research sponsored by the US Air Force Academy under agreement number FA7000-12-2-0020. The US Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright notation thereon.
The authors acknowledge the use of the USAF Academy Center for Cyberspace Research, including cadet teams to develop prototype software and simulation scenarios. Graph construction capability and scalability were explored and evaluated by Lieutenant Bryan Hall and Lieutenant Josiah Lane using simulated cyber-network records. Their work was extended to include the perception engine vocabulary attributes. The application of imprecise queries and graph similarity was evaluated by Lieutenant Elliot Unseth and Lieutenant Jon Beabout. The imprecise graph similarity research was extended with the perceptual computing IT2 fuzzy approach.
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The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies and endorsements, either expressed or implied of the US Air Force Academy or the US Government.
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Rickard, J.T., Ott, A.E. (2016). Querying Cyber-Networks Using Words. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-32229-2_18
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DOI: https://doi.org/10.1007/978-3-319-32229-2_18
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