Secluded Connectivity Problems
Shiri Chechik, M. P. Johnson, Merav Parter, David Peleg

TL;DR
This paper studies the problem of finding paths and Steiner trees in networks that minimize exposure to neighboring nodes, revealing complexity results and algorithms for various graph classes.
Contribution
It establishes hardness and approximation bounds for minimum exposure paths, and provides polynomial algorithms for bounded-degree and bounded-treewidth graphs.
Findings
Minimum exposure path is strongly inapproximable on unweighted graphs.
Polynomial algorithms exist for unweighted bounded-degree graphs.
The problem is NP-hard on weighted bounded-degree graphs.
Abstract
Consider a setting where possibly sensitive information sent over a path in a network is visible to every {neighbor} of the path, i.e., every neighbor of some node on the path, thus including the nodes on the path itself. The exposure of a path can be measured as the number of nodes adjacent to it, denoted by . A path is said to be secluded if its exposure is small. A similar measure can be applied to other connected subgraphs, such as Steiner trees connecting a given set of terminals. Such subgraphs may be relevant due to considerations of privacy, security or revenue maximization. This paper considers problems related to minimum exposure connectivity structures such as paths and Steiner trees. It is shown that on unweighted undirected -node graphs, the problem of finding the minimum exposure path connecting a given pair of vertices is strongly inapproximable, i.e., hard…
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Taxonomy
TopicsComplexity and Algorithms in Graphs · Advanced Graph Theory Research · Mobile Ad Hoc Networks
