Abstract
Motivated by applications in online privacy, user authentication and profiling, we discuss the complexity of various problems generalized from the classic 0-1 knapsack problem. In our scenarios, we assume the existence of a scoring function that evaluates the confidence in the personal online profile or authenticity of an individual based on a subset of acquired credentials and facts about an individual and show how the specific properties of that function affect the computational complexity of the problem, providing both NP-completeness proofs under certain conditions as well as pseudo-polynomial-time solutions under others.
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Duncan, C.A., Phoha, V.V. (2012). On the Complexity of Aggregating Information for Authentication and Profiling. In: Garcia-Alfaro, J., Navarro-Arribas, G., Cuppens-Boulahia, N., de Capitani di Vimercati, S. (eds) Data Privacy Management and Autonomous Spontaneus Security. DPM SETOP 2011 2011. Lecture Notes in Computer Science, vol 7122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28879-1_5
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DOI: https://doi.org/10.1007/978-3-642-28879-1_5
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