Autonomic Resilient Cloud Management (ARCM) Design and Evaluation

摘要: Cloud Computing is emerging as a new paradigm that aims delivering computing utility. For the cloud to be fully adopted and effectively used, it critical security mechanisms are robust resilient faults attacks. Securing systems extremely complex due many interdependent tasks such application layer firewalls, alert monitoring analysis, source code user identity management. It strongly believed we cannot build services immune Resiliency attacks becoming an important approach address cyber-attacks mitigate their impacts. for mission demanded higher. In this paper, present methodology develop Autonomic Resilient Management (ARCM) based on moving target defense, service Behavior Obfuscation (BO), autonomic computing. By continuously randomly changing execution environments platform types, will difficult especially insider attackers figure out current environment existing vulnerabilities, thus allowing system evade We show how apply ARCM one class of applications, Map/Reduce, evaluate its performance overhead.