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. © Springer-Verlag Berlin Heidelberg 2012.
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Duncan, C. A., & Phoha, V. V. (2012). On the complexity of aggregating information for authentication and profiling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7122 LNCS, pp. 58–71). Springer Verlag. https://doi.org/10.1007/978-3-642-28879-1_5
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