Scalable Distributed Service Integrity Attestation for Software-as-a-Service Clouds

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 large-scale cloud systems.

Existing system:

cloud computing infrastructures are often shared by ASPs from different security domains, which make them vulnerable to malicious attacks .

Forexample, 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.

 Our work focuses on service integrity attacks that cause the user to receive untruthful data processing results.

Disadvantages:

those techniques often require special trusted hardware or secure kernel support, which makes them difficult to be deployed on large-scale cloud computing infrastructures

Proposed system:

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 [26] and AdapTest [27] but can provide stronger malicious attacker pinpointing power than RunTest and AdapTest. Specifically, both RunText and AdapTest

Advantages :

We present a novel integrated service integrity attestation scheme that can achieve higher pinpointing accuracy than previous techniques.

Result autocorrection 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 SPECIFICATION

Hardware Requirements:

•         System                                    :   Pentium IV 2.4 GHz.

•         Hard Disk                   :   40 GB.

•         Floppy Drive               :   1.44 Mb.

•         Monitor                       :   14’ Colour Monitor.

•         Mouse                         :   Optical Mouse.

•         Ram                             :   512 Mb.

Software Requirements:

•         Operating system        :   Windows7 32-bit Ultimate OS.

•         Coding Language       :   C#.Net

•          Data Base                    :   SQL Server 2008.

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 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:

·         Those techniques often require special trusted hardware or secure kernel support.

·         Which makes them difficult to be deployed on large-scale cloud computing infrastructures.

PROPOSED SYSTEM:

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.

·         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 : 44 Mb.

·         Monitor : 15 VGA Colour.

·         Ram : 512 Mb.

SOFTWARE REQUIREMENTS: 

·         Operating system : Windows XP/7.

·         Coding Language : net, C#.net

·         Tool : Visual Studio 2010

·         Database : SQL SERVER 2008

REFERENCE:

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