Detecting Tampering in Random Graphs

Mathematics – Probability

Scientific paper

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Scientific paper

Let $\mathcal{G}_n=(V_n,E_n)$ be a growing sequence of deterministic finite graphs, with $V_n$ denoting the vertices and $E_n$ denoting the edges. Consider the random graph $\mathcal{G}_n(p_n)=(V_n, E_n(p_n))$ obtained by including any given edge with probability $p_n$, independent of other edges, and let $P_n^{p_n}$ denote the corresponding probability measure on $\mathcal{G}_n$. Now tamper with the random graph in some regular way. For example, if $\mathcal{G}_n$ is the complete graph on $n$ vertices, so that $\mathcal{G}_n(p_n)$ is the Erdos-Renyi graph, then one might tamper with it by disconnecting all the edges of a randomly chosen vertex, or by adding all the edges of a randomly chosen Hamiltonian path from $\mathcal{G}_n$, or by adding all the edges of a randomly chosen clique of order $k_n$ from $\mathcal{G}_n$. Denote the resulting induced measure on $\mathcal{G}_n$ by $P_n^{p_n,\text{tamper}}$. The tampering is called \it detectable\rm\ if $\lim_{n\to\infty}||P_n^{p_n,\text{tamper}}-P_n^{p_n}||_{\text{TV}}=1$, \it strongly undetectable\rm\ if the above limit is 0, and \it weakly undetectable\rm\ if $\{||P_n^{p_n,\text{tamper}}-P_n^{p_n}||_{\text{TV}}\}_{n=1}^\infty$ is bounded away from 0 and 1. We study the tampering problem for a variety of examples.

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