  Denial of Service (DOS) attack is one of the most attack that attract the
cyber criminals which aims to reduce the network performance from doing its
intended functions. Moreover, DOS Attacks can cause a huge damage on the data
Confidentiality, Integrity and Availability. This paper introduced a system
that detects the network traffic and varies the DOS attacks from normal traffic
based on an adopted dataset. The results had shown that the adopted algorithms
with the ICMP variables achieved a high accuracy percentage with approximately
99.6 in detecting ICMP Echo attack, HTTP Flood Attack, and Slowloris attack.
Moreover, the designed model succeeded with a rate of 100 in varying normal
traffic from various DOS attacks.
