Survivable strategy set design for malicious attack propagation in NEMO scenario

Large-scale failures triggered by undesirable events such as natural disasters, massive power malfunction, and malicious attacks are attracting serious concerns in communication network infrastructure perspective. However, there have been few survivability strategy analyses in network mobility (NEMO) scenarios. To properly address this issue, this paper proposes two novel survivability strategies to handle malicious attack propagation in NEMO scenario. We use fraction of active users (FAU) to illustrate the NEMO survivability performance based on continuous-time Markov chain (CTMC) and find the relationship between survivability performance and survivable strategy when facing malicious attack in NEMO scenario. The performance analysis is helpful for us to choose the right survivable strategy in the proper time.