Topics and Mini Project Ideas in Cloud Computing are listed in this page get your dissertation done by us on time in high quality. We assist scholars globally connect with us to get one to one expert’s solution. In order to develop a cloud security dissertation, an ideal topic should be chosen on the basis of accessible resources, necessities, and personal skills. For a cloud security dissertation, we recommend a few topics that are both relevant and compelling:

  1. Data Encryption Techniques in Cloud Computing
  • Topic Outline: Appropriate for cloud platforms, different data encryption techniques have to be explored. Then, their realistic application issues, functionality, and efficiency must be assessed.
  • Potential Areas of Interest: End-to-end encryption, homomorphic encryption, performance trade-offs, and encryption key management.
  1. Identity and Access Management (IAM) in Cloud Environments
  • Topic Outline: To assure safer access to cloud resources, the IAM systems and methods should be investigated. It is important to consider ideal approaches and problems.
  • Potential Areas of Interest: Federated identity management, attribute-based access control (ABAC), role-based access control (RBAC), and multi-factor authentication.
  1. Intrusion Detection and Prevention Systems (IDPS) in Cloud Computing
  • Topic Outline: Suitable for cloud platforms, we intend to create and assess IDPS approaches. Then, different cyber hazard identification and prevention must be examined.
  • Potential Areas of Interest: Automated response techniques, actual-time tracking, machine learning for threat identification, and anomaly identification.
  1. Compliance and Regulatory Challenges in Cloud Security
  • Topic Outline: In cloud computing, the regulatory and compliance needs have to be examined. For cloud security policies, their impacts should be studied.
  • Potential Areas of Interest: Data residency and sovereignty, effects of regulations on cloud service providers, compliance automation, HIPAA, and GDPR.
  1. Zero Trust Security Models in Cloud Computing
  • Topic Outline: Particularly in cloud platforms, the efficiency and application of zero trust security models must be explored.
  • Potential Areas of Interest: Case studies of zero trust application, policy implementation, reliable authentication and authorization, and micro-segmentation.
  1. Blockchain Technology for Enhancing Cloud Security
  • Topic Outline: To improve reliability and security in cloud services, the application of blockchain mechanism has to be investigated.
  • Potential Areas of Interest: Smart contracts for security automation, blockchain-related identity management, safer data exchange, and decentralized access control.
  1. Secure Cloud Migration Strategies
  • Topic Outline: For transferring data and applications to the cloud in a safer manner, we plan to build ideal approaches and policies.
  • Potential Areas of Interest: Hybrid cloud security, secure cloud framework, data encryption while transmission, and risk evaluation.
  1. Privacy-Preserving Techniques in Cloud Computing
  • Topic Outline: In cloud computing, protect user confidentiality by exploring methods. To stabilize confidentiality and usage, consider ideal techniques.
  • Potential Areas of Interest: Privacy-preserving data analytics, data anonymization, secure multi-party computation, and differential privacy.
  1. Artificial Intelligence for Cloud Security
  • Topic Outline: To improve cloud security, the application of machine learning and AI methods must be analyzed. In this project, threat identification and response has to be emphasized.
  • Potential Areas of Interest: AI-based security policy management, automated incident response, predictive analytics for threat prevention, and AI-related intrusion detection.
  1. Securing Serverless Architectures in Cloud Computing
  • Topic Outline: In the cloud, the security issues and solutions have to be analyzed, which are relevant to serverless computing models.
  • Potential Areas of Interest: Access control, function isolation, data protection, and tracking and logging in serverless platforms.
  1. Secure Data Sharing and Collaboration in Cloud Environments
  • Topic Outline: For exchange of data and collaboration between cloud users, the secure techniques should be created and assessed.
  • Potential Areas of Interest: User authentication, secure collaboration tools, encryption, and access control techniques.
  1. Cloud Security Posture Management (CSPM)
  • Topic Outline: In cloud platforms, we aim to track and handle security setups in a constant manner by exploring CSPM tools and approaches.
  • Potential Areas of Interest: Case studies of CSPM applications, security policy implementation, automated compliance reviews, and risk evaluation.
  1. Threat Modeling and Risk Assessment in Cloud Computing
  • Topic Outline: Specifically in cloud platforms, security risks have to be detected and reduced. For that, focus on creating threat models and carrying out risk evaluations.
  • Potential Areas of Interest: Case studies, threat modeling frameworks, risk evaluation approaches, and mitigation policies.
  1. Disaster Recovery and Business Continuity in Cloud Environments
  • Topic Outline: For assuring business endurance and disaster recovery in cloud computing, efficient policies have to be investigated.
  • Potential Areas of Interest: Case studies of disaster recovery, business endurance strategy, failover techniques, and backup and recovery solutions.
  1. IoT Security in Cloud-Based Systems
  • Topic Outline: In order to combine IoT devices with cloud computing, the security problems and solutions must be explored.
  • Potential Areas of Interest: Case studies of IoT-cloud incorporation, cloud-related IoT handling, secure data transmission, and IoT device authentication.

What are the mini projects for cloud computing?

Cloud computing is an interesting domain that provides a wide range of scopes for students and scholars to create effective projects. Relevant to cloud computing, we list out several mini project plans which are intriguing as well as significant:

  1. Personal Cloud Storage System
  • Explanation: To allow users to upload, handle, and download their files, a personal cloud storage framework has to be developed.
  • Mechanisms: REST APIs, Python/Node.js, and AWS S3 or Google Cloud Storage.
  • Major Characteristics: File upload/download, simple file handling (rename, delete), and user authentication.
  1. Cloud-Based Todo List Application
  • Explanation: For handling a todo list, a basic web application must be created, where a cloud platform is utilized to store the missions.
  • Mechanisms: Node.js, JavaScript (React/Vue.js), and Firebase or AWS DynamoDB.
  • Major Characteristics: Actual-time updates, CRUD processes for missions, and user authentication.
  1. Serverless Image Processing
  • Explanation: An application should be deployed, which utilizes serverless functions to process images (for instance: filtering, resizing).
  • Mechanisms: Python, S3/Google Cloud Storage, and AWS Lambda or Google Cloud Functions.
  • Major Characteristics: Image uploading, image processing by means of a serverless function, and storage and recovery of processed images.
  1. Chat Application Using WebSockets
  • Explanation: Based on the cloud platform, we plan to create an actual-time chat application.
  • Mechanisms: JavaScript (React/Vue.js), WebSockets, and Firebase Realtime Database.
  • Major Characteristics: User authentication, actual-time communication, and communication persistence.
  1. Cloud-Based Weather Monitoring Dashboard
  • Explanation: An efficient dashboard has to be developed, which employs a cloud-based API to retrieve and exhibit weather data.
  • Mechanisms: JavaScript (React/Vue.js), public weather API, and AWS Lambda or Google Cloud Functions.
  • Major Characteristics: Latest weather data must be retrieved and exhibited. Make use of charts to visualize weather data.
  1. IoT Device Data Logger
  • Explanation: In order to record and visualize data from IoT devices, an application should be created with cloud services.
  • Mechanisms: Python/Node.js, DynamoDB, and AWS IoT Core.
  • Major Characteristics: IoT device connection, sensor data recording, and a dashboard for data visualization.
  1. Expense Tracker Application
  • Explanation: To handle and examine individual finances, a basic expense tracker must be deployed. In this project, the cloud has to be utilized for data storage.
  • Mechanisms: Node.js, JavaScript (React/Vue.js), and Firebase or AWS DynamoDB.
  • Major Characteristics: CRUD processes for expenses, user authentication, and data visualization with charts.
  1. Cloud-Based URL Shortener
  • Explanation: As a means to store concise URLs in the cloud, we aim to develop a URL shortening service.
  • Mechanisms: Python/Node.js, AWS Lambda, and DynamoDB.
  • Major Characteristics: Development of concise URLs, analytics for URL utilization, and redirection to actual URLs.
  1. Virtual Machine Setup and Management
  • Explanation: For different missions, a virtual machine (VM) should be configured and handled in the cloud (for instance: database server, web server).
  • Mechanisms: Apache/Nginx, Linux, and AWS EC2 or Google Compute Engine.
  • Major Characteristics: Development of VM, fundamental tracking, and configuration of web server/database.
  1. Deploy a Web Application using Docker and Kubernetes
  • Explanation: A basic web application must be configured. Make use of Kubernetes to implement this application.
  • Mechanisms: Google Kubernetes Engine or AWS EKS, Kubernetes, and Docker.
  • Major Characteristics: Plan to dockerize application. Kubernetes placement has to be developed. Then, focus on the scaling management.
  1. Sentiment Analysis on Social Media Posts
  • Explanation: From social media posts, sentiment should be examined. By means of cloud services, visualize the outcomes.
  • Mechanisms: Twitter API, Python, and Google Cloud Natural Language or AWS Comprehend.
  • Major Characteristics: Social media posts have to be retrieved. Concentrate on conducting the sentiment analysis process. Then, outcomes must be visualized.
  1. Basic E-commerce Website with Cloud Backend
  • Explanation: For product and order handling, a basic e-commerce website has to be created, along with a cloud-related backend.
  • Mechanisms: Node.js, JavaScript (React/Vue.js), and Firebase or AWS Amplify.
  • Major Characteristics: Product catalog, order handling, shopping cart, and user authentication.
  1. Cloud-Based Reminder Service
  • Explanation: To transmit reminders for major activities, we intend to build a service. Focus on transmitting reminders through SMS or email.
  • Mechanisms: DynamoDB/Firebase, Node.js/Python, and AWS SNS or Twilio.
  • Major Characteristics: Reminder data handling, reminder scheduling, and transmission of notifications.
  1. Deploy a Machine Learning Model using Cloud Services
  • Explanation: A pre-trained machine learning model must be implemented. For inference, plan to develop an API.
  • Mechanisms: Flask, Python, Google AI Platform or AWS SageMaker.
  • Major Characteristics: Simple web interface for input, REST API for forecasting, and model implementation.
  1. Implement a Cloud-Based CI/CD Pipeline
  • Explanation: For a basic application, a CI/CD pipeline (continuous integration and continuous deployment) should be developed.
  • Mechanisms: Docker, AWS CodePipeline, and GitHub Actions or Jenkins.
  • Major Characteristics: Development, implementation of code changes, and automated testing.

Appropriate for a cloud security dissertation, we proposed several important topics, along with concise outlines and potential areas of interest. Highlighting the cloud computing field, numerous mini project plans are suggested by us, including major characteristics and mechanisms.

Topics In Cloud Security Dissertation

Topics In Cloud Security Dissertation for your research needs are listed below, ensuring timely and high-quality completion. We support scholars worldwide; connect with us for personalized expert solutions. We recommend the topics listed below and are prepared to undertake projects on any of them. Additionally, we can provide customized topics based on your specific interests for optimal assistance. Stay in contact with us for further support.

  1. Protection of Personal Information in the South African Cloud Computing environment: A framework for Cloud Computing adoption
  2. Creating Elasticity with Enhanced Weighted Optimization Load Balancing Algorithm in Cloud Computing
  3. SEDoS-7: A proactive mitigation approach against EDoS attacks in cloud computing
  4. Adaptive Resource Allocation of Multiple Servers for Service-Based Systems in Cloud Computing
  5. New Private Information Retrieval Protocol Using Social Bees Lifstyle over Cloud Computing
  6. Review of Live Virtual Machine Migration Techniques in Cloud Computing
  7. Enforcing scalable and dynamic hierarchical access control in cloud computing
  8. A heuristic for security prioritized resource provisioning in cloud computing
  9. Service Component Architecture for Geographic Information System in Cloud Computing Infrastructure
  10. Design and Implementation of Test System for Power 5G Communication Module Base on Cloud Computing Architecture
  11. Advertising System Based on Cloud Computing and Audio Watermarking
  12. An intelligent ECG interactive processing system based on Android and cloud computing platform
  13. Implementation of re-encryption based security mechanism to authenticate shared access in cloud computing
  14. Opportunities and Major Risks of Implementing Cloud – computing and IOT in Public Healthcare
  15. Research on Data Storage Security in Cloud Computing Environment
  16. Design of college student employment service platform based on cloud computing
  17. Cloud Computing and Affective Computer Approach on development programming skills
  18. A new data processing mechanism based on Co-DDM and Co-TS in cloud computing
  19. Load balancing in cloud computing environment based on an improved particle swarm optimization
  20. A novel approach towards improving performance of load balancing using Genetic Algorithm in cloud computing