Abstract:
Cloud Computing is one of today’s most exciting technologies ,because it can
reduce the cost and complexity of applications. On the other hand, such complex and
distributed architectures become an attractive target for attacks .Flooding attacks
based DoS represent a serious danger which can deny the legitimate users access to
the service delivered by cloud. In this paper, we propose an algorithm, inspired by the
Hop Count Filtering(HCF) technique that changes the alert state of HCF to include all
the possible available Hop Count values ,and statistical analysis such as threshold for
classifying every IP packet in the black list when its number is greater than the
threshold during a slot-time, but we must removing an IP from the blacklist if it has
not sent a spoofed packet in X amount of time. Compared to the original HCF method
and its variants, our proposed method performs better than HCF algorithm and its
variants, which achieves high detection accuracy (92%) with fewer false alarms
