As cloud computing services are becoming more practical and popular for the sake of its convenience and being more economical, its’ security vulnerability has been the continuous threat for both cloud service providers and clients. The more the financial benefits of these services became so attractive and the need for uninterrupted services grows, the distributed denial of services (DDoS) attacks that degrade and down its’ service availability has been the major security concern. While researchers try to address this security threat and come up with lasting solutions for early detection of DDoS attacks, the degree of these attacks is getting higher and very sophisticated. The changing and aggressive nature of the attacks make it very severe threat and difficult to easily find remedy. On this research paper, we are presenting the design and dataflow architectures for a solution model that could contribute in resolving one of the major cloud security threat, the early detection of DDoS attacks, using its hybrid approach.
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- The Design, Data Flow Architecture, and Methodologies for a Newly Researched Comprehensive Hybrid Model for the Detection of DDoS Attacks on Cloud Computing Environment
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