An Innovative Technique for DDoS Attack Recognition and Deterrence on M-Health Sensitive Data

Nowadays Mobile Health (also termed as m-Health) is an essential component of the healthcare sector. The m-healthcare uses different types of digitized devices (laptops, smart phones, tablets) to transfer patient runtime data very quickly among the different internetworking channels. The architecture of the m-health system is completely dependent on the centralized cloud computing system. Cloud computing architecture suffers from various attacks, which leads to the unavailability of data at runtime. The paper concentrates on the most vulnerable DDoS attack, which disrupts the network by unauthorized requests and breaks the reliability of the system. In the research paper, the authors have designed the four-layers m-healthcare architecture. An innovative DDoS recognition approach is proposed to easily identify the attacks in the system. The deterrence approaches are also analysed and experimented with the help of virtualized cloud-based software environment. The result section is progressed with the use of performance metrics, and analysis of maximum and mean value of DDoS attack success rate is also part of the research work.