Maximization of Network Survivability with Secret Sharing and Defense Resource Allocation Against Intelligent Attacks and Natural Disasters

Nowadays, more and more transactions and services are provided on internet, thanks to the development of the Internet and information technologies. There are many enterprises provide businesses and services on internet. Therefore, service continuity and data storage reliability are very important to both companies and customers. However, attackers like hackers have being more and more powerful and skillful on cyber-attacks. For example, collaborative attack is a powerful attack method that enables a group of attackers working together and every attacker can cooperate with each other. Therefore, attackers can group together and make more powerful attack on their target network because of collaborative attack. Moreover, enterprise network may be impacted by serious natural disasters. For example, the earthquake on September 21, 1999 in Taiwan and the one on March 11, 2011 in Japan which was followed by a large tsunami. They both caused tremendous damages in society.
Enterprises and organizations may face with varieties of threats such as cyber-attacks and natural disasters. These threats could cause serious impact on company network or system. It is important for system or network to improve its robustness by adopting Quality of Service (QoS) requirements on user service satisfaction and data storage, so that all categories of malicious assaults and natural disasters can be prevented.
Our goal is to help defender find out the trade-off balance and offer a guideline to allocate defense resources. Since the attacking process might be complicated and non-deterministic, we resort to the Monte Carlo simulation method to simulate a variety of feasible attack strategies. First, we look for a powerful and efficient attack method to attack target network. Then, we carry out an attack-defense simulation and gather information to evaluate the optimal method of allocating defense resources according to the topology and defending strategies.