This paper presents a decision support based, dynamic approach to optimal threat evaluation and defensive resource scheduling. The algorithm provides flexibility and optimality by swapping between two objective functions, based on preferential and subtractive defense strategies, as and when required. Analysis part of this paper presents the strengths and weaknesses of the proposed algorithm over an alternative greedy algorithm as applied to different offline scenarios. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Naeem, H., Masood, A., Hussain, M., & Khan, S. A. (2009). A semi-automated dynamic approach to threat evaluation and optimal defensive resource allocation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5754 LNCS, pp. 8–17). https://doi.org/10.1007/978-3-642-04070-2_2
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