IEEE Projects Based on Cloud Computing are shared below, we have all the research methodologies to give scholars best Cloud security project help. Contact academiccollegeprojects.com we will help you by giving end to end support. Get your research paper writing done by us, we also help in paper publishing on the targeted journal.  As a means to develop a project in cloud computing, an appropriate topic must be selected based on individual knowledge, requirements, and available resources. By including various topics such as cloud security, IoT incorporation, machine learning, data handling, and others, we recommend some compelling projects:

  1. Secure Cloud Storage System with Homomorphic Encryption
  • Explanation: To enable operations on encrypted data excluding decryption, a cloud storage framework must be created, which specifically utilizes homomorphic encryption.
  • Major Characteristics: Access control, user authentication, homomorphic operations, and data encryption.
  • IEEE Standards: IEEE P1363 (public key cryptography) and IEEE 802.11 (wireless communications).
  1. AI-Based Intrusion Detection System (IDS) in Cloud Environments
  • Explanation: In cloud platforms, we aim to identify and react to security hazards by applying an AI-related IDS.
  • Major Characteristics: Machine learning models, actual-time threat identification, automated response, and anomaly identification.
  • IEEE Standards: IEEE 802.11i (wireless LAN security) and IEEE 802.1X (network access control).
  1. IoT Device Management and Data Analytics in the Cloud
  • Explanation: To handle IoT devices, an environment has to be developed with cloud services. From these devices, the gathered data should be examined.
  • Major Characteristics: Data aggregation, actual-time analytics, device connectivity, and visualization.
  • IEEE Standards: IEEE 2413 (IoT architecture) and IEEE 802.15.4 (low-rate wireless personal area networks).
  1. Energy-Efficient Resource Allocation in Cloud Data Centers
  • Explanation: As a means to reduce energy usage in cloud data centers, facilitate effective resource allocation by creating algorithms.
  • Major Characteristics: Performance enhancement, energy handling, load balancing, and dynamic resource allocation.
  • IEEE Standards: IEEE 802.11 (wireless LAN) and IEEE 802.3 (Ethernet).
  1. Blockchain-Based Access Control for Cloud Services
  • Explanation: To improve reliability and security in cloud services, a blockchain-related access control framework must be deployed.
  • Major Characteristics: User authentication, audit trails, smart contracts, and decentralized access control.
  • IEEE Standards: IEEE 802.11 (wireless communications) and IEEE P2418.1 (blockchain in IoT).
  1. Serverless Computing for Scalable Web Applications
  • Explanation: For establishing and scaling web applications, a serverless framework has to be created with cloud services.
  • Major Characteristics: Monitoring, auto-scaling, API Gateway incorporation, and Function as a Service (FaaS).
  • IEEE Standards:  IEEE 802.1Q (VLAN) and IEEE 802.11 (wireless LAN).
  1. Cloud-Based Big Data Analytics Platform
  • Explanation: Specifically for processing and examining big data, we intend to deploy a cloud-related environment with distributed computing architectures.
  • Major Characteristics: Data ingestion, actual-time analytics, ETL operations, and data visualization.
  • IEEE Standards: IEEE 802.11 (wireless LAN) and IEEE 802.3 (Ethernet).
  1. Multi-Cloud Deployment and Management Framework
  • Explanation: Among several cloud providers, implement and handle applications by developing an efficient framework.
  • Major Characteristics: Security strategies, cost improvement, workload migration, and unified management interface.
  • IEEE Standards: IEEE 802.11 (wireless LAN) and IEEE 802.1Q (VLAN).
  1. Edge Computing for Real-Time Data Processing
  • Explanation: For actual-time data processing, an edge computing approach should be created, which is combined with cloud services.
  • Major Characteristics: Data offloading, actual-time analytics, seamless cloud incorporation, and less-latency processing.
  • IEEE Standards: IEEE 2413 (IoT architecture) and IEEE 802.15.4 (low-rate wireless personal area networks).
  1. Cloud-Based Disaster Recovery System
  • Explanation: To assure data morality and business endurance, a cloud-related disaster recovery framework must be deployed.
  • Major Characteristics: Failover techniques, automated backups, greater availability, and recovery testing.
  • IEEE Standards: IEEE 802.11 (wireless LAN) and IEEE 802.3 (Ethernet).
  1. Privacy-Preserving Data Sharing in Cloud Environments
  • Explanation: In cloud platforms, accomplish privacy-preserving data exchange and collaboration through creating robust methods.
  • Major Characteristics: Audit trails, access control, secure data exchange protocols, and data anonymization.
  • IEEE Standards: IEEE P1363 (public key cryptography) and IEEE 802.11 (wireless LAN).
  1. Cloud-Based Machine Learning Model Deployment
  • Explanation: Particularly in the cloud, we plan to implement and handle machine learning models through developing a platform.
  • Major Characteristics: Training of model, implementation, tracking, and versioning.
  • IEEE Standards: IEEE 802.11 (wireless LAN) and IEEE 802.3 (Ethernet).
  1. Cloud Security Posture Management (CSPM)
  • Explanation: In cloud platforms, track and handle security setups in a constant manner by creating a CSPM tool.
  • Major Characteristics: Setup evaluation, risk identification, and remediation suggestions.
  • IEEE Standards: IEEE 802.11i (wireless LAN security) and IEEE 802.1X (network access control).
  1. Hybrid Cloud Storage Management
  • Explanation: Among hybrid cloud platforms, the storage has to be handled and improved by deploying a framework.
  • Major Characteristics: Security strategies, storage tiering, cost enhancement, and data synchronization.
  • IEEE Standards: IEEE 802.11 (wireless LAN) and IEEE 802.3 (Ethernet).
  1. Real-Time Collaboration Platform Using Cloud Services
  • Explanation: For actual-time collaboration, a cloud-related environment should be created. It could encompass project handling, document editing, and video conferencing.
  • Major Characteristics: Mission monitoring, video calls, chat, and actual-time editing.
  • IEEE Standards: IEEE 802.1Q (VLAN) and IEEE 802.11 (wireless LAN).

What are the major topics in cloud computing?

In the field of cloud computing, numerous topics and ideas have evolved in a gradual manner, which are suitable for developing projects. Related to cloud computing, we list out a few topics which are intriguing as well as significant:

  1. Cloud Service Models
  • Infrastructure as a Service (IaaS): Across the internet, this model offers virtualized computing resources.
  • Platform as a Service (PaaS): For the creation of applications, this model is generally utilized. Across the internet, it provides software and hardware tools.
  • Software as a Service (SaaS): Through the internet, this model transfers software applications by subscription.
  1. Cloud Deployment Models
  • Public Cloud: In public cloud, services are distributed over the firms by supplying through the public internet.
  • Private Cloud: A single firm utilizes cloud services entirely.
  • Hybrid Cloud: Private and public clouds are integrated in this hybrid cloud. Among these clouds, it enables the distribution of data and applications.
  • Community Cloud: For a particular community with general interests, it is a distributed infrastructure.
  1. Cloud Security
  • Data Security and Encryption: By means of encryption methods, data has to be secured in both active and inactive states.
  • Identity and Access Management (IAM): It focuses on assuring that cloud resources can be accessed only by the legal users.
  • Threat Detection and Mitigation: In cloud platforms, we plan to detect and react to security hazards.
  • Compliance and Regulatory Issues: Important rules and principles should be followed by cloud services, and assuring this aspect is crucial.
  1. Cloud Architecture and Infrastructure
  • Virtualization: Virtual samples of physical resources have to be developed. It could encompass networks, storage, and servers.
  • Containers and Microservices: For application placement, lightweight containers must be utilized. Then, microservices frameworks have to be handled.
  • Serverless Computing: Excluding the handling of server framework, the applications should be executed.
  1. Cloud Storage and Data Management
  • Data Storage Solutions: Concentrate on various kinds of cloud storage. It could include file storage, block storage, and object storage.
  • Data Management and Governance: For handling data lifecycle, data confidentiality, and data quality, we focus on strategies and approaches.
  • Big Data Analytics: With the aid of cloud-related tools and services, the extensive datasets must be processed and examined.
  1. Cloud Networking
  • Software-Defined Networking (SDN): In order to enhance adaptability and control, the network management should be virtualized.
  • Network Function Virtualization (NFV): Over standard servers, link several kinds of network equipment by means of IT virtualization.
  • Cloud Connectivity Solutions: Among users and cloud resources, we aim to assure seamless and safer linkages.
  1. Cloud Application Development
  • Development Platforms: For developing, examining, and implementing applications, the platforms and tools have to be considered, which are offered by PaaS.
  • DevOps in the Cloud: To automate the software development lifecycle, the creation and operations techniques must be combined with cloud services.
  • APIs and Integration: With other frameworks and applications, combine cloud services through APIs.
  1. Cloud Performance and Scalability
  • Load Balancing: To assure credibility and accessibility, workloads have to be shared among several computing resources.
  • Auto-scaling: On the basis of the existing requirements, the number of active servers has to be adapted in an automatic manner.
  • Performance Monitoring: For tracking and improving cloud functionality, we intend to use suitable methods and tools.
  1. Cloud Cost Management
  • Cost Optimization: In cloud platforms, handle and minimize costs by means of efficient policies.
  • Billing and Pricing Models: Consider different cloud service providers and interpret their pricing models. Then, the process of handling billing should be clarified.
  • Financial Governance: With business budgets and financial objectives, the cloud expense must be matched, and assuring this aspect is important.
  1. Cloud Compliance and Legal Issues
  • Data Privacy Laws: Adherence to data security rules should be assured. Some of the potential rules are CCPA, HIPAA, and GDPR.
  • Contractual Agreements: Focus on cloud service contracts such as SLAs, and interpret their terms and requirements.
  • Intellectual Property: In cloud platforms, intellectual property rights have to be secured.
  1. Emerging Technologies in Cloud Computing
  • Artificial Intelligence and Machine Learning: For diverse applications, we plan to utilize cloud-related AI and ML services.
  • Blockchain in Cloud: Specifically for improved security and reliability, the blockchain mechanism has to be applied in cloud platforms.
  • Quantum Computing: Consider cloud services and quantum computing, and investigate its possible incorporation.
  1. Edge and Fog Computing
  • Edge Computing: To minimize latency, the data must be processed nearer to the sources (for instance: IoT devices).
  • Fog Computing: For facilitating further distributed processing, the cloud computing should be expanded to the network edge.
  1. Cloud Migration and Integration
  • Migration Strategies: To transfer data and applications to the cloud, focus on efficient methods.
  • Integration Solutions: For combining cloud services with other cloud environments and on-site frameworks, the ideal tools and approaches have to be employed.
  1. Cloud-Based DevOps and Continuous Delivery
  • Continuous Integration/Continuous Deployment (CI/CD): Combination and placement of code changes must be automated.
  • Infrastructure as Code (IaC): Using machine-legible scripts, the computing infrastructure has to be handled and assigned.
  1. Disaster Recovery and Business Continuity
  • Disaster Recovery Planning: At the time of a disaster, assure service endurance and data security by using robust policies.
  • Backup Solutions: For data retrieval, employ cloud-related backup plans and services.

Emphasizing a vast array of topics, we suggested several fascinating projects, along with concise explanations, major characteristics, and IEEE standards. In addition to that, numerous important topics are proposed by us, which are relevant to cloud computing.

IEEE Projects Topics in Cloud Computing

IEEE project topics in Cloud Computing are listed below. Our developers can handle your code and implementation. For writing research methodology in cloud security, we offer a clear and detailed guideline. We have experience with all the topics mentioned below and can also provide customized topics based on your interests. For the best support, please stay in contact with us.

  1. Ubiquitous mobile personal health system based on cloud computing
  2. The strategy of cryptography for the proposed model of security in cloud computing
  3. Data Deduplication with Encrypted Big Data Management in Cloud Computing
  4. Integrate Military with Distributed Cloud Computing and Secure Virtualization
  5. Secured cloud computing service: A case study of large Scale Lyapunov Equation
  6. Scheduling Multiple Workflows with Time Constraints onto Cloud Computing Resources
  7. Load Similarity based Virtual Machine Placement in Cloud Computing Environment
  8. Elasticity Debt Analytics Exploitation for Green Mobile Cloud Computing: An Equilibrium Model
  9. Methodological Methods to Improve the Efficiency of Cloud Storage by applying De-duplication Techniques in Cloud Computing
  10. Towards a Service Lifecycle Based Methodology for Risk Assessment in Cloud Computing
  11. DICB: Dynamic Intelligent Customizable Benign Pricing Strategy for Cloud Computing
  12. A Trustworthiness Evaluation Framework in Cloud Computing for Service Selection
  13. Hierarchical Edge-Cloud Computing for Mobile Blockchain Mining Game
  14. Research on the active defense security system based on cloud computing of wisdom campus network
  15. Using Ant Colony System to Consolidate VMs for Green Cloud Computing
  16. Challenges and opportunities of resource allocation in cloud computing: A survey
  17. Multi-Objective Emperor Penguin Optimizer for Tuning the Quality-of-Service in Cloud Computing
  18. Optimization: data-driven management using deep learning in cloud computing
  19. A Review on Optimisation Strategies for Cloud Computing Technologies
  20. Fault tolerance techniques and architectures in cloud computing – a comparative analysis