Future smart grids will provide greater flexibility to both users and operators but will also inherently lessen resilience of the grid. This work deals with improving that resilience by looking into topological structure of distribution grids and providing suggestions for the improvement of the structure of the grid. Distribution grid is modeled with a hierarchical, smart, multilayer graph model. That model is then compromised by placing multiple static adversaries in the distribution grid layer of the model and contaminating the graph with their respective areas of influence. To localize the damage such adversaries can deal, a linear optimization problem of finding the shortest and least costly information path from the neighborhood of the compromised area to the top layer in the hierarchical model is presented and solved for, so that relevant information of grid contamination reaches grid operators in a timely manner. After that, suggestions for improving the structure of layers in Information Overlay of the model are presented. Lastly, Optimal Path algorithm is presented, which finds optimal paths in compromised areas and areas that are blocked off or unreliable.