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The power-law node degree distributions of peer-to-peer overlay networks make them extremely robust to random failures whereas highly vulnerable under intentional targeted attacks.To enhance attack survivability of these net- works,DeepCure,a novel heuristic immunization strategy,is proposed to conduct decentralized but targeted immunization. Different from existing strategies,DeepCure identifies immunization targets as not only the highly-connected nodes but also the nodes with high availability and/or high link load,with the aim of injecting immunization information into just right targets to cure.To better trade off the cost and the efficiency,DeepCure deliberately select these targets from 2-local neighborhood,as well as topologically-remote but semantically-close friends if needed.To remedy the weakness of existing strategies in case of sudden epidemic outbreak,DeepCure is also coupled with a local-hub oriented rate throttling mechanism to enforce proactive rate control.Extensive simulation results show that DeepCure outperforms its competitors,producing an arresting increase of the network attack tolerance,at a lower price of eliminating viruses or malicious attacks.
The power-law node degree distributions of peer-to-peer overlay networks make them very robust to random failures and highly vulnerable under intentional targeted attacks. To enhance attack survivability of these net works, DeepCure, a novel heuristic immunization strategy, is proposed Different from existing strategies, DeepCure aware immunization targets as not only the highly-connected nodes but also the nodes with high availability and / or high link load, with the aim of injecting immunization information into just right targets to cure.To better trade off the cost and the efficiency, DeepCure deliberately select these targets from 2-local neighborhood, as well as topologically-remote but semantically-close friends if needed.To remedy the weakness of existing strategies in case of sudden epidemic outbreak , DeepCure is also coupled with a local-hub oriented rate throttling mechanism to enforce proactive rate control. Extensive simulation results show that DeepCure outperforms its competitors, producing an arresting increase of the network attack tolerance, at a lower price of eliminating viruses or malicious attacks.