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Scalable Distributed Service Integrity Attestation for
Software-as-a-Service Clouds
Abstract
Software-as-a-Service (SaaS) cloud systems enable application service providers to deliver their
applications via massive cloud computing infrastructures. However, due to their sharing nature,
SaaS clouds are vulnerable to malicious attacks. In this paper, we present IntTest, a scalable and
effective service integrity attestation framework for SaaS clouds. IntTest provides a novel
integrated attestation graph analysis scheme that can provide stronger attacker pinpointing power
than previous schemes. Moreover, IntTest can automatically enhance result quality by replacing
bad results produced by malicious attackers with good results produced by benign service
providers. We have implemented a prototype of the IntTest system and tested it on a production
cloud computing infrastructure using IBM System S stream processing applications. Our
experimental results show that IntTest can achieve higher attacker pinpointing accuracy than
existing approaches. IntTest does not require any special hardware or secure kernel support and
imposes little performance impact to the application, which makes it practical for largescale
cloud systems.

2. Existing system
Software-as-a-Service (SaaS) cloud systems enable application service providers to deliver their
applications via massive cloud computing infrastructures. However, due to their sharing nature,
SaaS clouds are vulnerable to malicious attacks.
Proposed system
In this paper, we present IntTest, a scalable and effective service integrity attestation framework
for SaaS clouds. IntTest provides a novel integrated attestation graph analysis scheme that can
provide stronger attacker pinpointing power than previous schemes. Moreover, IntTest can
automatically enhance result quality by replacing bad results produced by malicious attackers
with good results produced by benign service providers. We have implemented a prototype of
the IntTest system and tested it on a production cloud computing infrastructure using IBM
System S stream processing applications. Our experimental results show that IntTest can achieve
higher attacker pinpointing accuracy than existing approaches. IntTest does not require any
special hardware or secure kernel support and imposes little performance impact to the
application, which makes it practical for largescale cloud systems.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA

3. SOFTWARE CONFIGURATION:-
 Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.