Matrix based optimal solution for node capture attack to enhance the attacking efficiency of attacker

Abstract A node capture attack inside a wireless sensor network (WSN) may destroy the network by capturing sensor nodes and fetching cryptographic keys within the connections. Adversarial modeling provides beneficial defensive resolutions for the security purpose of WSN. This paper introduces matrix based optimization solution to for modelling node capture attack on a random key predistribution scheme. Matrix-based optimization modeling examines the compromising links among paths, nodes, and keys. A matrix-based optimization solution is used to secure the highest destructiveness of all captured nodes and simultaneously reduce the execution time to increase the attacking efficiency. To review the working of our solutions in terms of the system's performance, we developed two optimal attacking matrices, specifically the optimal key matrix (OKM) and optimal node matrix (ONM). We propose a matrix-based optimization solution to generate an optimal path vulnerability matrix (OPVM) based on multiple objective node capture functions that consist of various objectives: dominating nodes, node participation, cutting rank, dominant rank, highest key contribution, crossing edges, and lowest cost of capturing to determine optimal node. The proposed models manipulate various vulnerable network pinpoints to create a matrix-based attack model. We operate multiple functions to mention the performance of our attack model. Results demonstrate that matrix-based optimization reduces execution time, reduces the number of attacking rounds, improves the attacking performance, and saves energy costs.