Abstract
This paper describes a proposed approach, centered on human factors, for securing the Total Learning Architecture (TLA). The TLA, which is being developed for the United States Department of Defense, will rely on large stores of personal data that could be targeted by sophisticated adversaries. We describe the TLA and its envisioned users at a fairly high level before describing expected classes of attacks against it. We then examine existing and proposed controls that, if properly managed, should allow users and service providers to significantly reduce the risks to the system.
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Acknowledgements
This material is based upon work supported by the Advanced Distributed Learning (ADL) Initiative under Contract No. W911QY-16-C-0019. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Advanced Distributed Learning (ADL) Initiative.
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Maymí, F., Woods, A., Folsom-Kovarik, J. (2018). Humans as the Strong Link in Securing the Total Learning Architecture. In: Nicholson, D. (eds) Advances in Human Factors in Cybersecurity. AHFE 2017. Advances in Intelligent Systems and Computing, vol 593. Springer, Cham. https://doi.org/10.1007/978-3-319-60585-2_20
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DOI: https://doi.org/10.1007/978-3-319-60585-2_20
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