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Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds 
Scalable Distributed Service Integrity Attestation for Software-as-a-Service 
Clouds 
Contact: 9703109334, 9533694296 
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in 
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 large-scale 
cloud systems. 
EXISTING SYSTEM: 
Which enable application service providers (ASPs) to deliver their applications via the massive 
cloud computing infrastructure. In particular, our work focuses on data stream processing 
services that are considered to be one class of killer applications for clouds with many real-world 
applications in security surveillance, scientific computing, and business intelligence. However, 
cloud computing infrastructures are often shared by ASPs from different security domains, 
which make them vulnerable to malicious attacks. For example, attackers can pretend to be 
legitimate service providers to provide fake service components, and the service components 
provided by benign service providers may include security holes that can be exploited by 
attackers. 
DISADVANTAGES OF EXISTING SYSTEM:
Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds 
 Those techniques often require special trusted hardware or secure kernel support. 
 Which makes them difficult to be deployed on large-scale cloud computing 
infrastructures. 
In this paper, we present IntTest, a new integrated service integrity attestation framework for 
multitenant cloud systems. IntTest provides a practical service integrity attestation scheme that 
does not assume trusted entities on third-party service provisioning sites or require application 
modifications. IntTest builds upon our previous work RunTest and AdapTest but can provide 
stronger malicious attacker pinpointing power than RunTest and AdapTest. Specifically, both 
RunText and AdapTest as well as traditional majority voting schemes need to assume that benign 
service providers take majority in every service function. However, in large-scale multitenant 
cloud systems, multiple malicious attackers may launch colluding attacks on certain targeted 
service functions to invalidate the assumption. To address the challenge, IntTest takes a holistic 
approach by systematically examining both consistency and inconsistency relationships among 
different service providers within the entire cloud system. IntTest examines both per-function 
consistency graphs and the global. 
ADVANTAGES OF PROPOSED SYSTEM: 
 A scalable and efficient distributed service integrity attestation framework for large scale 
cloud computing infrastructures. 
 A novel integrated service integrity attestation scheme that can achieve higher 
pinpointing accuracy than previous techniques. 
Contact: 9703109334, 9533694296 
PROPOSED SYSTEM: 
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds 
 A result auto correction technique that can automatically correct the corrupted results 
produced by malicious attackers. 
 Both analytical study and experimental evaluation to quantify the accuracy and overhead 
of the integrated service integrity attestation scheme. 
SYSTEM ARCHITECTURE: 
SYSTEM REQUIREMENTS: 
HARDWARE REQUIREMENTS: 
 System : Pentium IV 2.4 GHz. 
 Hard Disk : 40 GB. 
 Floppy Drive : 1.44 Mb. 
 Monitor : 15 VGA Colour. 
 Mouse : Logitech. 
 Ram : 512 Mb. 
SOFTWARE REQUIREMENTS: 
 Operating system : Windows XP/7. 
 Coding Language : ASP.net, C#.net 
 Tool : Visual Studio 2010 
Contact: 9703109334, 9533694296 
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds 
 Database : SQL SERVER 2008 
Juan Du, Daniel J. Dean, Yongmin Tan, Xiaohui Gu, and Ting Yu “Scalable Distributed 
Service Integrity Attestation for Software-as-a-Service Clouds” IEEE TRANSACTIONS 
ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25, NO. 3, MARCH 2014 
Contact: 9703109334, 9533694296 
REFERENCE: 
Email id: academicliveprojects@gmail.com, www.logicsystems.org.in

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scalable distributed service integrity attestation for software-as-a-service clouds

  • 1. Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds Contact: 9703109334, 9533694296 Email id: academicliveprojects@gmail.com, www.logicsystems.org.in 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 large-scale cloud systems. EXISTING SYSTEM: Which enable application service providers (ASPs) to deliver their applications via the massive cloud computing infrastructure. In particular, our work focuses on data stream processing services that are considered to be one class of killer applications for clouds with many real-world applications in security surveillance, scientific computing, and business intelligence. However, cloud computing infrastructures are often shared by ASPs from different security domains, which make them vulnerable to malicious attacks. For example, attackers can pretend to be legitimate service providers to provide fake service components, and the service components provided by benign service providers may include security holes that can be exploited by attackers. DISADVANTAGES OF EXISTING SYSTEM:
  • 2. Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds  Those techniques often require special trusted hardware or secure kernel support.  Which makes them difficult to be deployed on large-scale cloud computing infrastructures. In this paper, we present IntTest, a new integrated service integrity attestation framework for multitenant cloud systems. IntTest provides a practical service integrity attestation scheme that does not assume trusted entities on third-party service provisioning sites or require application modifications. IntTest builds upon our previous work RunTest and AdapTest but can provide stronger malicious attacker pinpointing power than RunTest and AdapTest. Specifically, both RunText and AdapTest as well as traditional majority voting schemes need to assume that benign service providers take majority in every service function. However, in large-scale multitenant cloud systems, multiple malicious attackers may launch colluding attacks on certain targeted service functions to invalidate the assumption. To address the challenge, IntTest takes a holistic approach by systematically examining both consistency and inconsistency relationships among different service providers within the entire cloud system. IntTest examines both per-function consistency graphs and the global. ADVANTAGES OF PROPOSED SYSTEM:  A scalable and efficient distributed service integrity attestation framework for large scale cloud computing infrastructures.  A novel integrated service integrity attestation scheme that can achieve higher pinpointing accuracy than previous techniques. Contact: 9703109334, 9533694296 PROPOSED SYSTEM: Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
  • 3. Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds  A result auto correction technique that can automatically correct the corrupted results produced by malicious attackers.  Both analytical study and experimental evaluation to quantify the accuracy and overhead of the integrated service integrity attestation scheme. SYSTEM ARCHITECTURE: SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:  System : Pentium IV 2.4 GHz.  Hard Disk : 40 GB.  Floppy Drive : 1.44 Mb.  Monitor : 15 VGA Colour.  Mouse : Logitech.  Ram : 512 Mb. SOFTWARE REQUIREMENTS:  Operating system : Windows XP/7.  Coding Language : ASP.net, C#.net  Tool : Visual Studio 2010 Contact: 9703109334, 9533694296 Email id: academicliveprojects@gmail.com, www.logicsystems.org.in
  • 4. Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds  Database : SQL SERVER 2008 Juan Du, Daniel J. Dean, Yongmin Tan, Xiaohui Gu, and Ting Yu “Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds” IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 25, NO. 3, MARCH 2014 Contact: 9703109334, 9533694296 REFERENCE: Email id: academicliveprojects@gmail.com, www.logicsystems.org.in