Abstract

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.

Highlights

  • In the previous years, the Internet has a significant impact on all aspects of modern life

  • 2 System model In this paper, our objective is to quantify the survivability performance of malicious attack propagation in network mobility scenario; the definition of survivability framework presented by ANSI T1A1.2 committee has been adopted [12]

  • We evaluate the network survivability performance of MoSN from attack arriving, attack propagation, and through to the process of repairment finished

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Summary

Introduction

The Internet has a significant impact on all aspects of modern life. It is essential to continuously provide the required data when facing natural disasters (e.g., typhoon, floods, earthquake) and intentional attacks (Distributed Denial-of-Service (DDoS) attack, power outages, worm virus) [1], especially in mobile scenarios [2]. The network survivability has become a significant element for network design and performance evaluation of network systems. The survivability has greatly threatened by the network attack. According to the 2015 DDoS threat report [3], compiled by network security firm NSFOCUS, which has stated trends and methodologies of network attack in the last year, the number of DDoS attack is 179,298 in China. The total flows of network attack go to 276,531,562 TB. The propagation of network attack has increased significantly in mobile network communication

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