  Cloud Computing is a recent computing model provides consistent access to
wide area distributed resources. It revolutionized the IT world with its
services provision infrastructure, less maintenance cost, data and service
availability assurance, rapid accessibility and scalability. Grid and Cloud
Computing Intrusion Detection System detects encrypted node communication and
find the hidden attack trial which inspects and detects those attacks that
network based and host based cant identify. It incorporates Knowledge and
behavior analysis to identify specific intrusions. Signature based IDS monitor
the packets in the network and identifies those threats by matching with
database but It fails to detect those attacks that are not included in
database. Signature based IDS will perform poor capturing in large volume of
anomalies. Another problem is that Cloud Service Provider hides the attack that
is caused by intruder, due to distributed nature cloud environment has high
possibility for vulnerable resources. By impersonating legitimate users, the
intruders can use a services abundant resources maliciously. In Proposed System
we combine few concepts which are available with new intrusion detection
techniques. Here to merge Entropy based System with Anomaly detection System
for providing multilevel Distributed Denial of Service. This is done in two
steps: First, Users are allowed to pass through router in network site in that
it incorporates Detection Algorithm and detects for legitimate user. Second,
again it pass through router placed in cloud site in that it incorporates
confirmation Algorithm and checks for threshold value, if its beyond the
threshold value it considered as legitimate user, else its an intruder found in
environment.
