IEEE 2014 JAVA CLOUD COMPUTING PROJECTS Scalable distributed service integrity attestation for software as-a-service clouds

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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.

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

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

This document proposes IntTest, a scalable and effective service integrity attestation framework for software-as-a-service clouds. IntTest provides stronger attacker pinpointing than previous schemes through an integrated attestation graph analysis. It can also automatically enhance result quality by replacing results from malicious attackers with results from benign providers. The authors implemented IntTest on a production cloud computing infrastructure and found it achieved higher attacker pinpointing accuracy than existing approaches with little performance impact.

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IntTest is a scalable distributed service integrity attestation framework for software-as-a-service clouds. It provides a novel integrated attestation graph analysis scheme that can pinpoint malicious attackers more accurately than previous schemes. IntTest examines both per-function consistency graphs and a global inconsistency graph to identify attackers even if they control some service functions. It also performs result autocorrection to replace corrupted results with good results from benign providers. Experimental results on a production cloud show IntTest achieves higher attacker pinpointing accuracy than existing approaches with low performance overhead.

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This document presents IntTest, a framework for scalable and effective integrity attestation of services in software-as-a-service clouds. IntTest uses an integrated attestation graph analysis approach to more accurately pinpoint malicious attackers compared to previous methods. It examines both per-function consistency graphs and a global inconsistency graph to limit the scope of damage from colluding attackers. Experimental results on a production cloud system show IntTest achieves higher attacker pinpointing accuracy than existing approaches with minimal performance overhead.

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