Research Proposal in Cloud Computing

Research Proposal in Cloud Computing are done by us as per your university format. We have provided a comprehensive outline detailing how we will support scholars. Reach out to us for top-notch assistance. We help scholars worldwide; connect with us for personalized expert solutions. With over 700 projects successfully completed, we are equipped to provide expert guidance. Our team is proficient in all research methodologies to ensure your work is completed on time. Cloud computing is an extensive and emerging area which provides vast opportunities for researchers and scholars in carrying out their research. In the area of cloud computing, an organized framework and instance of a research proposal is clearly discussed by us:

Research Proposal Outline

1. Title
2. Abstract
3. Introduction
4. Literature Review
5. Research Objectives
6. Research Questions
7. Methodology
8. Expected Outcomes
9. Timeline
10. References

Example Research Proposal

Title

“Enhancing Security in Multi-Cloud Environments Using Blockchain Technology”

Abstract

In order to improve safety in multi-cloud platforms, our study mainly focuses on investigating the synthesization of blockchain mechanisms. This research aims to solve main security problems like illicit access, data violations and data reliability in multi-cloud configurations through deploying the block chain’s decentralized and constant features. For secure data distribution and access management, a compelling blockchain-oriented model can be designed by our study. Basically, this research involves assessing the capability of the model and offering crucial perspectives on performance metrics and real-time executions.

Introduction

Multi-cloud platforms are increased broadly due to the instant utilization of cloud computing. To improve durability and stability, most of the firms implement the cloud services from several cloud providers. Incorporating data reliability, unpermitted access and data violation problems, this technique presents critical security issues, apart from the benefits. To these kinds of concerns, blockchain mechanism effectively provides the best and hopeful solution with its decentralized and consistent nature. In multi-cloud platforms, our study intends to improve the security features by creating and assessing a blockchain-based model.

Literature Review

The following areas must be encompassed in literature review:

• Cloud Computing Security: In single and multi-cloud platforms, the exploration of existing security problems and feasible solutions.
• Blockchain Technology: Basic principles of blockchain and its advanced security characteristics. In cloud computing, its probable applications are meant to be discussed.
• Integration of Blockchain and Cloud Computing: On integrating blockchain with cloud services to improve safety, focus on current studies.
• Case Studies and Practical Implementations: Detailed analysis of real-time executions and their impacts in the current environment.

Research Objectives

• Especially in multi-cloud platforms, we aim to detect the major security problems.
• For secure data transmission and access control management in multi-cloud platforms, concentrate on creating a blockchain-based model.
• In improving safety features, we intend to assess the sufficient capability of the proposed model.
• Regarding the realistic executions and performance enhancement, offering suggestions can be the key goal of our studies.

Research Questions

1. What are the real-world concerns and possible problems in executing this model?
2. What is the capability of the designed blockchain-based model in improving safety?
3. What are the main security problems encountered by firms in deploying multi-cloud platforms?
4. In what way blockchain technology can be utilized in solving these security problems?

Methodology

• Literature Review: On cloud security and blockchain synthesization, an extensive review of current studies should be carried out efficiently.
• Framework Development: Specifically for secure data transmission and access management in multi-cloud platforms, a blockchain-oriented model needs to be developed.
• Simulation and Testing: By means of tools like CloudSim for cloud simulation and Hyperledger Fabric for blockchain, we should execute the model in an effective manner on a simulated multi-cloud platform.
• Evaluation Metrics: Through applying metrics like system performance, data breach events and illicit access approaches, the capacity of the model is meant to be assessed.
• Data Analysis: Based on security and functionality, we need to specify the implications of the model by evaluating the findings.
• Validation: With the aid of case works and professional’s meetings, verify the results carefully.

What are the algorithms used in cloud security?

There are several compelling algorithms which are broadly used for enhancing the security features in the cloud. We offer a list of effective algorithms along with explanations, use case and specific characteristics:

1. Encryption Algorithms
2. Advanced Encryption Standard (AES)

• Explanation: For protecting data, AES is a broadly used symmetric encryption algorithm. Sizes of 128, 192 and 256 bits can be assisted efficiently.
• Application: To ensure secrecy, the data can be encrypted by this method in active as well as inactive state.
• Significant Characteristics: AES is highly deployed in cloud platforms with its outstanding functionalities and powerful security.

1. Rivest-Shamir-Adleman (RSA)

• Explanation: Considering the secure data sharing, RSA is used which is an asymmetric encryption algorithm. A pair of keys like a private key for decryption and a public key for encryption is involved.
• Application: Used for key transmission, digital signatures and secure data transfer.
• Significant Characteristics: Commonly, RSA is applied for key management and secure communications due to its high security.

1. Elliptic Curve Cryptography (ECC)

• Explanation: On the basis of elliptic curve concept, ECC is performed which is also an asymmetric encryption algorithm. When compared to RSA, it includes small key sizes and offers a safe degree of security.
• Application: Digital signatures, encryption and secure key transmission.
• Significant Characteristics: Impactful security, effective functionalities and smaller key sizes.

1. Blowfish

• Explanation: Blowfish is well recognized for its capability and speed and it is a symmetric encryption algorithm. Ranging from 32 to 448 bits, it employs variable-length keys.
• Application: As reflecting on specific cloud applications, it is used to encrypt the inactive data.
• Significant Characteristics: Adaptability in key length, high security and maximum speed.

2. Hashing Algorithms
3. Secure Hash Algorithm (SHA)

• Explanation: In offering data integrity, SHA is modeled and regarded as a family of cryptographic hash functions. Generally applicable variants are SHA-3 and SHA-56.
• Application: Assuring the password hashing, data reliability and digital signatures.
• Significant Characteristics: Particularly in security protocols, SHA is used for its collision resistance features.

1. Message Digest Algorithm 5 (MD5)

• Explanation: MD5 is capable of offering a 128-bit hash value and it is a highly utilized cryptographic hash function. As compared to SHA, this algorithm is more vulnerable. Instead of safety purposes, it is widely deployed for checksums.
• Application: It can be applied for examining the data reliability and checksums.
• Significant Characteristics: Speed computation. Because of risks, it is not suggested for security-critical applications.

3. Digital Signature Algorithms
4. Digital Signature Algorithms (DSA)

• Explanation: Particularly for digital signatures, DSA is considered as the significant model of federal information processing.
• Application: The fairness and credibility of a digital report, software or image could be validated through this method.
• Significant Characteristics: DSE is frequently applied in government and financial areas, as it assures non-repudiation principle.

1. Elliptic Curve Digital Signature Algorithm (ECDSA)

• Explanation: ECDSA is a version of DSA in which the elliptic curve cryptography is utilized extensively.
• Application: For confirming the reliability and accuracy of data, it can be executed in digital signatures.
• Significant Characteristics: Powerful security, smaller key sizes and productive performance.

4. Key Exchange Algorithms
5. Diffie-Hellman Key Exchange (DH)

• Explanation: Across a public channel, this technique is used for transferring the cryptographic keys in a protective manner.
• Application: In determining the distributed secrets and securing the key transfer, DH can be used proficiently.
• Significant Characteristics: It protects from undetectable assaults, as it is a base for most of the encryption protocols.

1. Elliptic Curve Diffie-Hellman (ECDH)
   • Explanation: This algorithm is the important version of DH (Diffie-Hellman) which uses elliptic curve cryptography to transfer keys.

• Application: Especially in resource-limited platforms, ECDH is used for protecting the key transmission.
• Significant Characteristics: Intense security, small sizes and long-lasting performance.

5. Access Control and Authentication Algorithms
6. Kerberos

• Explanation: It is a network authorization protocol. To offer reliable authentication across an unprotected network, this method deploys secret-key cryptography.
• Application: SSO (Secure Single sign-on) and authorization in enterprise platforms.
• Significant Characteristics: As a means to secure against eavesdropping and repeating assaults, it includes mutual authentication.

2. OAuth 2.0

• Explanation: OAuth 2.0 algorithm is generally implemented for token-based authorization and authentication and is a clear standard for access deputation.
• Application: Excluding the distribution of documents, this approach enables third party access with regard to user materials and API security to protect the data from attacks.
• Significant Characteristics: This method is broadly employed in web and mobile applications and enables tokens and scopes.

6. Homomorphic Encryption

• Explanation: Without decrypting early, this encryption policy accesses the computations effectively to be conducted on encrypted data.
• Application: Secrecy-preserving computations and secure data processing are the critical usage of homomorphic encryption.
• Significant Characteristics: It is resource-intensive and accesses secure transferring of computations.

7. Secure Multi-Party Computation (SMPC)

• Explanation: In maintaining those inputs confidentially, we are able to access participants to collectively compute a function through this group of cryptographic protocols.
• Application: It is widely used for integrative data analysis and secrecy-preserving computations.
• Significant Characteristics: Capable of assisting complicated computations and assuring data secrecy.

8. Quantum-Safe Cryptography

• Explanation: As opposed to possible threats caused by quantum computers, cryptographic algorithms are well-modeled specifically to protect the data.
• Application: For assuring prolonged safety, take advantage of future-proofing cryptographic systems.
• Significant Characteristics: Encompassing algorithms such as lattice-based cryptography, it efficiently solves quantum assaults.

In this article, a simple model of research proposal on the subject of cloud computing is provided by us with thorough specifications. Moreover, we suggest some crucial algorithms for cloud security that are categorized by specific details.

Thesis Proposal in Cloud Computing

Thesis Proposals in Cloud Computing list, backed by our team of domain experts boasting over 12 years of research experience in which we carried out the research work are shared below. Reach out to us for top-notch project assistance. Below, you’ll find a variety of topics suitable for scholars at all levels. Equipped with the necessary tools and resources, we ensure your work is completed promptly. Discover innovative project ideas and paper writing support from our knowledgeable experts.

1. A vision on the Information and Communication Technologies (ICT) using cloud computing environment
2. Load Balancing in Cloud Computing: A Survey on comparison of two algorithms PSO and SJF-MMBF
3. Analysis of future marine information system based on cloud computing
4. Adaptive Intellectual Decision Support System for Assessing Changes in Information States of Objects in Cloud Computing Environments
5. Situation Awareness Based Resource Requirement in Cloud Computing Environment
6. Design of Big Data Compatible Storage System Based on Cloud Computing Environment
7. Modeling and Evaluating of Resource Allocation in Openstack Cloud Computing Platform
8. A Load Balancing Algorithm in Cloud Computing Based on Modified Particle Swarm Optimization and Game Theory
9. Service-Oriented Maintainability Modeling and Analysis for a Cloud Computing
10. Cloud computing credibility evaluation based on grey clustering and entropy
11. Practice on the Data Service of University Scientific Research Management Based on Cloud Computing
12. Plan recognition algorithm of data extraction in cloud computing environment
13. Research on the Resource Joint Scheduling in Optical Networks for Cloud Computing
14. Strategy of Digital Education Resources Construction in Cloud-Computing Environment
15. Simulation of the cloud computing network security intrusion detection model based on the data mining technology
16. Dynamic Task-Scheduling Algorithm in CNC System Based on Cloud Computing
17. Positioning error detection method of Beidou navigation system in Internet of things based on Cloud Computing
18. Performance evaluation of Heuristic and Metaheuristic Algorithms for Independent and Static Task Scheduling in Cloud Computing
19. The evolution of user service based on cloud computing in the university digital library
20. Analysis of a Joint Data Security Architecture Integrating Artificial Intelligence and Cloud Computing in the Era of Big Data