Cloud Computing. Strategies for Improving the Performance and Security

Table of Contents

Chapter 1. Introduction of Cloud Computing

1.1 Introduction

1.2 Concept of Cloud Computing

1.3 Cloud Architecture

1.4 Service/Delivery Model of Cloud Computing

1.4.1 SaaS(Software as a Service)

1.4.2 PaaS(Platform as a Service)

1.4.3 IaaS(Infrastructure as a service)

1.5 Layered Architecture Description

1.6 Deployment Model of Cloud Computing

1.6.1 General Division

1.6.2 Other Divisions

1.7 Characteristics of Cloud Computing

1.7.1 Rapid Elasticity

1.7.2 On demand

1.7.3 Broad network access

1.7.4 Multi Tenancy

1.7.5 Pay per use

1.7.6 Scalability

1.7.7 Resiliency

1.8 Categorization of Cloud Computing

1.8.1 Terminology of Cloud computing

1.8.2 Cloud Security Standards

1.8.3 Cloud Apps

1.9 Technologies Related with Cloud

1.9.1 Grid Computing

1.9.2 Utility Computing

1.9.3 Virtualization

1.9.4 Autonomic Computing

1.9.5 Cluster Computing

1.10 Benefits of Cloud Computing

1.10.1 Reduce Business Risk

1.10.2 Remove Complexity of Installing Software

1.10.3 New Research area

1.10.4 Easy Access

1.10.5 Provide service based on our needs

1.10.6 Scope for SME

1.10.7 Bigger software market

1.11 Problem with Cloud Computing

1.11.1 Loss of Governance

1.11.2 Data Loss

1.11.3 Account or Service Hijacking

1.11.4 Insecure Interfaces and Application Program Interfaces

1.11.5 Abuse and Nefarious use of Cloud Computing

1.12 Contribution of the Book

1.13 Conclusion

Chapter 2. Research Background

2.1 Survey of Existing Work

2.2 Definitions of Cloud Computing

2.3 Issues with Cloud Computing

2.4 Solution of Cloud Adoption Issue

2.4.1 Cloud security using Third Party Auditor

2.4.2 Cloud Computing Security Using Cryptographic Technique

2.5 Problem Yet To Be Solved

2.6 Problem Definitions

2.7 Objective

2.8 Conceptual Framework of Model

2.9 Conclusion

Chapter 3. Analysis of Cryptographic Mechanism

3.1 Introduction of Cryptography

3.2 Cryptography

3.2.1 Process of Cryptography

3.2.2 Encryption

3.2.3 Decryption

3.2.4 Cryptosystem

3.2.5 Symbolic Representation

3.3 Algorithms

3.3.1 Homomorphic Encryption

3.3.2 Fully Homomorphic

3.3.3 Partial Homomorphic

3.3.4 Hashing

3.4 Conclusion

Chapter 4. Data Security and Integrity in Cloud Computing based on RSA Partial Homomorphic and MD5 Algorithm

4.1 Introduction

4.2 Overview of Architecture

4.3 Model Description

4.3.1 Prerequisites

4.3.2 Secure Data Sharing

4.3.3 Secure Data Storage at Cloud Server

4.4 Algorithm Applied in Proposed Architecture

4.4.1 RSA Partial Homomorphic

4.4.2 Working of RSA Partial

4.4.3 MD5 Hashing Algorithm

4.4.4 Working of MD5

4.5 Implementation

4.6 Snapshot of Model

4.7 Pseudo Code of RSA Homomorphic Encryption Algorithm

4.8 Pseudo Code of MD5 Hashing Technique

4.9 Conclusion

Chapter 5. Experimental Study on Performance Evaluation of Proposed Architecture

5.1 Result Analysis

5.2 Triple DES (3 DES)

5.3 SHA (Secure Hash Algorithm)

5.4 Investigation and Analysis Based on Performance Parameters

5.4.1 Experimental Result

5.4.2 File Encryption Time

5.4.3 Graph of Encryption

5.4.4 File Decryption Time

5.4.5 Decryption Graph

5.5 Conclusion

Chapter 6. Conclusion & Future Work

6.1 Summary

6.2 Security Discussion

6.2.1 Confidentiality

6.2.2 Access control

6.2.3 Integrity

6.3 Final Thought

6.4 Future Work

Objectives and Core Topics

This work aims to enhance the security and integrity of data within cloud computing environments by proposing a new architectural model. The primary research goal is to address the diminishing adoption rates of cloud services due to security concerns, specifically focusing on data unauthorized access, potential data loss, and modification by untrusted parties. The authors investigate a framework that utilizes cryptographic techniques to maintain data control under the owner’s authority without relying exclusively on third-party auditors.

• The evaluation of existing cryptographic algorithms for cloud environments.
• Development of a security architecture using RSA Partial Homomorphic encryption.
• Implementation of data integrity verification mechanisms via MD5 hashing.
• Performance comparative analysis against standard Triple DES and SHA algorithms.
• Addressing the computational overheads associated with high-level cloud security measures.

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Summary of Chapters

Chapter 1. Introduction of Cloud Computing: Provides an overview of cloud computing evolution, service models (SaaS, PaaS, IaaS), and the fundamental challenges regarding security and data governance.

Chapter 2. Research Background: Reviews existing literature on cloud security, identifying common threats and analyzing previous research attempts to mitigate data privacy issues.

Chapter 3. Analysis of Cryptographic Mechanism: Explores the theoretical foundations of cryptography, specifically focusing on homomorphic encryption and hashing algorithms suitable for data protection.

Chapter 4. Data Security and Integrity in Cloud Computing based on RSA Partial Homomorphic and MD5 Algorithm: Details the proposed architecture, which integrates RSA partial homomorphic encryption and MD5 hashing to ensure data confidentiality and integrity.

Chapter 5. Experimental Study on Performance Evaluation of Proposed Architecture: Presents a comparative performance analysis of the proposed model versus the Triple DES and SHA combination in terms of encryption and decryption time.

Chapter 6. Conclusion & Future Work: Summarizes the thesis findings and suggests potential future improvements, such as the application of fully homomorphic algorithms.

Keywords

Cloud Computing, RSA Partial Homomorphic, MD5 Hashing, Data Integrity, Data Security, Cryptographic Mechanism, Cloud Architecture, Triple DES, SHA, Data Confidentiality, Access Control, Cloud Service Provider, Performance Evaluation, Cloud Adoption, Information Security

Frequently Asked Questions

What is the core focus of this research?

The research primarily focuses on improving the security and performance of data storage and access in cloud computing environments to foster higher adoption rates among users.

What are the primary security challenges addressed?

The work addresses critical concerns such as loss of data governance, unauthorized data access, potential data loss during transfer or storage, and the manipulation of data by untrusted cloud service providers.

What is the main research objective?

The objective is to design and implement a security architecture that provides robust data integrity and confidentiality without the heavy reliance on third-party auditors, ultimately reducing computational costs.

Which scientific methods are utilized in this approach?

The authors employ a combination of RSA Partial Homomorphic encryption for securing data and MD5 hashing algorithms to perform periodic integrity verification.

What is covered in the main part of the thesis?

The main part includes a thorough literature review, a detailed description of the proposed architectural model, the specific implementation details on the OpenShift platform using Java, and experimental results comparing the system with standard security protocols.

What are the key descriptors for this work?

Key terms include Cloud Computing, RSA Partial Homomorphic, MD5 Hashing, Data Integrity, and Performance Evaluation.

How is the proposed model verified for integrity?

Data verification is handled by calculating and comparing the hash values of the uploaded file on the cloud against a reference hash maintained by the data owner at their end.

How does this architecture handle access control?

Access control is managed by the data owner, who creates an access list specifying which users have "Read Only" or "Read and Write" permissions, ensuring only authorized individuals can decrypt the files using a provided private key.