  It is not been a long time since the advent of cloud-based technology.
However, in this short period of timeseveral advantages and disadvantages have
been emerged. This is a problem solving technology with some threats as well.
These threats and potential damages are not only limited to the cloud-based
technologies, but they have always been against computer network
infrastructures. One of these examples is Distributed Denial-of-Service (DDoS)
intrusion which is of course one of the most complex and the most dangerous
types of attacks. The impact of this type of attack, due to its powerful
nature, is much higher on cloud systems since in case of occurrence, the
service providers lose their services completely as well as their reputationand
loyal customers. This, apparently,can even lead to the collapse of the stock
and other destructive consequences. On the other hand, due to the properties of
cloud service providers including large-scale infrastructures, DDoS intrusion
detection algorithms need high sensitivity, innovation, and general
improvements. Traditional structures of DDoS attack detection algorithms are
designed for small-scale networks or at most for application camps. Lack of
efficient algorithm is seemingly apparentfor the large-scale networks.
Therefore, in this context we utilize standardmethods as well as a proposed
hybrid protocol which is more appropriate in connection with cloud structures
in order to detect DDoS attacks
