Cloud Computing Based Project Ideas for Final Year with simulation and algorithm support are provided by us. All the trending ideas in this domain are updated by us. Cloud Computing is a rapidly evolving domain that provides a wide range of opportunities to conduct research and develop projects. Appropriate for final-year students, we suggest a few project plans that are related to cloud computing:

  1. Online Storage System (Cloud Drive)
  • Explanation: To enable users to upload, handle, and download files in a safer manner, a cloud storage service has to be created.
  • Major Characteristics: Version control, sharing options, file encryption, and user authentication.
  • Mechanisms: REST APIs, Azure Blob Storage, Google Cloud Storage, and AWS S3.
  1. Cloud-Based E-Learning Platform
  • Explanation: An e-learning environment should be developed, which facilitates communication among students and mentors in actual-time, and presents quizzes, videos, and courses.
  • Major Characteristics: Progress monitoring, discussion forums, live streaming, and content handling.
  • Mechanisms: WebRTC, Firebase, Google Cloud Platform, and AWS Educate.
  1. IoT-Based Smart Home Management System
  • Explanation: To track and regulate home devices in a remote way, we intend to create a cloud-related application.
  • Major Characteristics: Automation strategies, actual-time notifications, data analytics, and device connectivity.
  • Mechanisms: Node-RED, MQTT, Google Cloud IoT, and AWS IoT Core.
  1. Cloud-Based Healthcare System
  • Explanation: For telemedicine, patient logs, and appointments, a cloud-oriented healthcare management framework has to be deployed.
  • Major Characteristics: Data protection, video discussions, appointment planning, and electronic health records (EHR).
  • Mechanisms: FHIR standards, Google Cloud Healthcare API, and AWS HealthLake.
  1. Cloud Performance Monitoring and Management Tool
  • Explanation: In order to observe the cloud services’ functionality, a robust tool must be developed. Then, resource utilization has to be refined.
  • Major Characteristics: Cost handling, resource refinement, actual-time tracking, and alerting.
  • Mechanisms: Prometheus, Grafana, Google Stackdriver, and AWS CloudWatch.
  1. Serverless Application Development
  • Explanation: To manage backend logic, an application should be developed with a serverless framework.
  • Major Characteristics: Database incorporation, API Gateway, and event-driven functions.
  • Mechanisms: API Gateway, Google Cloud Functions, Azure Functions, and AWS Lambda.
  1. Cloud-Based Disaster Recovery System
  • Explanation: Through copying and backing up data in the cloud, the business endurance has to be assured. For that, we aim to create a disaster recovery approach.
  • Major Characteristics: Recovery testing, data replication, failover techniques, and automatic backups.
  • Mechanisms: Azure Site Recovery, Google Cloud Disaster Recovery, and AWS Backup.
  1. Cloud-Powered Big Data Analytics
  • Explanation: To process and examine extensive datasets, a big data analytics environment must be deployed on the cloud.
  • Major Characteristics: Machine learning incorporation, data ingestion, data visualization, and processing pipelines.
  • Mechanisms: Apache Spark, Azure HDInsight, Google BigQuery, and AWS EMR.
  1. Cloud-Based Chatbot for Customer Support
  • Explanation: A chatbot should be developed, which can support user interaction and natural language processing by utilizing cloud services.
  • Major Characteristics: Multi-channel support, interactive AI, reporting, and analytics.
  • Mechanisms: NLP libraries, Azure Bot Service, Google Dialogflow, and AWS Lex.
  1. Cloud-Based DevOps Platform
  • Explanation: The software development lifecycle has to be automated. For that, a DevOps environment must be created with cloud resources.
  • Major Characteristics: Infrastructure as code, automated testing, and continuous integration/continuous deployment (CI/CD).
  • Mechanisms: Jenkins, Azure DevOps, Google Cloud Build, and AWS CodePipeline.
  1. Cloud Security Management System
  • Explanation: In cloud platforms, we plan to handle and apply security strategies by deploying a framework.
  • Major Characteristics: Compliance tracking, threat identification, and identity and access management.
  • Mechanisms: Azure Security Center, Google Cloud Security Command Center, and AWS Security Hub.
  1. Blockchain-Based Cloud Storage System
  • Explanation: For improved security and reliability, a decentralized cloud storage approach should be developed by means of blockchain mechanisms.
  • Major Characteristics: User authentication, smart contracts, encryption, and decentralized storage.
  • Mechanisms: AWS Blockchain, IPFS, Hyperledger, and Ethereum.
  1. Cloud-Based Real-Time Collaboration Tool
  • Explanation: Particularly for project handling, video conferencing, and document editing, an actual-time collaboration environment has to be created.
  • Major Characteristics: Actual-time editing, mission monitoring, video calls, and chat.
  • Mechanisms: Firebase, WebRTC, Microsoft Teams, and Google Docs API.
  1. Cloud-Based Image and Video Processing System
  • Explanation: For processing and examining videos and images, a cloud-related solution must be applied.
  • Major Characteristics: Actual-time analytics, video transcoding, and image recognition.
  • Mechanisms: Azure Media Services, Google Cloud Vision, and AWS Rekognition.
  1. Cloud-Based Financial Analysis Tool
  • Explanation: To facilitate data storage and computation, a financial analysis and prediction tool should be developed with cloud resources.
  • Major Characteristics: Visualization dashboards, predictive analytics, and data aggregation.
  • Mechanisms: Azure Power BI, Google Data Studio, and AWS QuickSight.

What are the Research issues in cloud security?

In the field of cloud security, several problems exist, which should be solved in an efficient manner. Relevant to cloud security, we list out numerous major research problems that have to be addressed by utilizing appropriate techniques:

  1. Data Security and Privacy
  • Data Encryption: By means of robust encryption methods, the data privacy must be assured.
  • Data Integrity: In storage or transmission, the data should not be modified. To assure this aspect, explore efficient methods.
  • Data Access Control: To assure that data can be accessed only by legal users, focus on fine-grained access control techniques.
  • Data Leakage Prevention: As a means to identify and obstruct illicit data exfiltration, consider policies.
  1. Identity and Access Management (IAM)
  • Authentication: Efficient multi-factor authentication techniques have to be created.
  • Authorization: Plan to adapt attribute-based and role-based access control frameworks.
  • Identity Federation: Among several cloud environments and services, we aim to handle identities.
  1. Cloud Infrastructure Security
  • Virtualization Security: In virtual machines and hypervisors, focus on solving potential risks.
  • Container Security: It is important to secure orchestration settings such as Kubernetes and containerized settings.
  • Network Security: With the aid of intrusion detection systems, firewalls, and segmentation, we intend to secure from network-related assaults.
  1. Incident Response and Forensics
  • Automated Threat Detection: For actual-time detection and response to hazards, use AI and machine learning techniques.
  • Cloud Forensics: In cloud platforms, carry out efficient forensic analysis by creating tools and approaches.
  1. Compliance and Legal Issues
  • Regulatory Compliance: Some rules and principles such as HIPAA, GDPR, and others have to be followed by cloud services, and assuring this aspect is significant.
  • Data Residency: To adhere to local regulations, the geographic region of data must be handled.
  • Legal Accountability: In cloud service contracts, it is crucial to interpret judicial obligations and duties.
  1. Trust and Assurance
  • Third-Party Audits: To assure security measure and compliance, the security inspections should be frequently conducted by external entities.
  • Transparency: Regarding security activities and approaches, thorough perceptions and reports have to be offered to consumers.
  1. Security Management and Policy Enforcement
  • Policy Management: In cloud platforms, extensive security strategies should be developed and applied.
  • Security Monitoring: To identify and reduce hazards, we plan to observe cloud frameworks in a consistent manner.
  1. Secure Cloud Migration
  • Migration Strategies: Data and applications must be transferred to the cloud in a safer manner, and assuring this factor is important.
  • Hybrid Cloud Security: Based on the integration of on-site framework with private and public clouds, consider platforms and handle security.
  1. Cloud Security Automation
  • DevSecOps: To automate security reviews and balances, the security approaches have to be combined into the DevOps pipeline.
  • Automated Compliance Checks: In an automatic manner, adherence to security principles has to be checked by utilizing tools and frameworks.
  1. Emerging Technologies and Threats
  • Quantum Computing: Focus on quantum computing and plan for its security aspects.
  • AI/ML Security: In the cloud setting, we aim to secure machine learning and AI frameworks.
  • Zero Trust Architecture: As a means to improve security, the zero trust standards must be applied.

Emphasizing the domain of cloud computing, we recommended numerous interesting project plans, along with brief explanations, major characteristics, and mechanisms. Related to cloud security, several research problems are specified by us in an explicit way.

Cloud Computing Based Projects for Final Year Topics & Ideas

Cloud Computing Based Projects for Final Year Topics & Ideas which are worked by us are listed below, you can approach us by sending all your project details by mail. Prompt response will be given by our technical team. Get customized project guidance from academiccollegeprojects.com.

  1. Cloud Computing for Healthcare Services: Technology, Application and Architecture
  2. ProTrust: A Probabilistic Trust Framework for Volunteer Cloud Computing
  3. Intelligent optimal lifecycle planning in agricultural products supply chains using cloud computing and RFID data
  4. Public Key Encryption in the Cloud Computing Environments: Trust and untrust
  5. An improved SJF scheduling algorithm in cloud computing environment
  6. Cloud computing in higher education: A snapshot of software as a service
  7. An user behavior credibility authentication model in cloud computing environment
  8. Intelligent System Development and Integration for Cloud Computing
  9. Priority Based Delay Time Scheduling for Quality of Service in Cloud Computing Networks
  10. Performance Analysis and Comparison Among Different Task Scheduling Algorithms in Cloud Computing
  11. A Load Balancing with Fault Tolerance Algorithm for Cloud Computing
  12. Analysis on Resource Allocation for parallel processing and Scheduling in Cloud Computing
  13. Cloud computing & multi-agent systems: A new promising approach for distributed data mining
  14. DDoS Attack Detection using Optimized Back Propagation Neural Network with Artificial Plant Optimization in Cloud Computing
  15. Research on building of electronic community based on cloud computing
  16. Optimization of Property Information Management Model Based on Cloud Computing in Big Data Era
  17. Research on the wisdom education platform of cloud computing architecture
  18. Tamper-resistant autonomous agents-based mobile-cloud computing
  19. Decision-Making for Placing Unmanned Aerial Vehicles to Implementation of Analyzing Cloud Computing Cooperation Applied to Information Processing
  20. Cloud Computing Business Case Framework: Introducing a Mixed-Model Business Case Framework for Small and Medium Enterprises to Determine the Value of Cloud Computing