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2020 – 2021 IEEE DOTNET PROJECTS

About IEEE DotNet Projects

At 1 Crore Project Centre Chennai, we are committed to nurturing your talent and providing you with the skills and knowledge needed to excel in the competitive tech world. Our 2020-2021 IEEE DotNet projects are carefully curated to address the most pressing challenges and opportunities in the field. Whether you’re a student aspiring to build a strong foundation or a professional looking to upskill, our projects offer a perfect blend of theory and hands-on experience. Join us on this journey towards success and innovation.

1 Crore Project Centre Chennai is your trusted partner in the world of technology, offering a wide range of 2020-2021 IEEE DotNet projects designed to propel you to the forefront of the industry. In an era where technology is constantly evolving, it’s essential to stay ahead of the curve, and our projects provide the ideal platform for that.

Our team of experienced professionals is dedicated to guiding you through every step of your project, from conceptualization to implementation. We understand the importance of real-world experience, and our projects are crafted to ensure that you not only gain theoretical knowledge but also develop practical skills that are highly sought after by employers.

1 Crore Project Centre Chennai is synonymous with quality, expertise, and innovation in the field of 2020-2021 IEEE DotNet projects. As the tech industry continues to evolve at a rapid pace, it’s crucial to align your skills with the latest trends and technologies. Our center offers you the opportunity to do just that.

Cloud Computing

  • Energy-Aware Load Balancing and Application Scaling for the Cloud Ecosystem
  • kBF: Towards Approximate and Bloom Filter based Key-Value Storage for Cloud Computing Systems
  • TEES: An Efficient Search Scheme over Encrypted Data on Mobile Cloud
  • Resource provisioning for task-batch based workflows with deadlines in public clouds
  • Cost Optimization for Dynamic Replication and Migration of Data in Cloud Data Centers
  • A Lightweight Secure Data Sharing Scheme for Mobile Cloud Computing

Information Forensics and Security

  • Image Origin Classification Based on Social Network Provenance
  • Person Identification by Keystroke Dynamics Using Pairwise User Coupling
  • Efficiently Promoting Product Online Outcome: An Iterative Rating Attack Utilizing Product and Market Property
  • A Cross Tenant Access Control (CTAC) Model for Cloud Computing: Formal Specification and Verification

Internet of Things

  • LoDPD: A Location Difference-based Proximity Detection Protocol for Fog Computing
  • Resource Allocation in Vehicular Cloud Computing Systems with Heterogeneous Vehicles and Roadside Units
  • Security-Aware Waveforms for Enhancing Wireless Communications Privacy in Cyber-Physical Systems via Multipath Receptions

Intelligent Transportation Systems

  • EAAP: Efficient Anonymous Authentication With Conditional Privacy-Preserving Scheme for Vehicular Ad Hoc Networks
  • A Multi-Agent Advanced Traveler Information System for Optimal Trip Planning in a Co-Modal Framework

Parallel and Distributed Systems

  • EAFR: An Energy-Efficient Adaptive File Replication System in Data-Intensive Clusters
  • ExCCC-DCN: A Highly Scalable, Cost-Effective and Energy-Efficient Data Center Structure
  • Privacy-Aware Scheduling SaaS in High Performance Computing Environments

Dependable and Secure Computing

  • TAFC: Time and Attribute Factors Combined Access Control for Time-Sensitive Data in Public Cloud
  • My Privacy My Decision: Control of Photo Sharing on Online Social Networks
  • Privacy-Preserving Aggregate Queries for Optimal Location Selection
  • FastGeo: Efficient Geometric Range Queries on Encrypted Spatial Data
  • MMBcloud -Tree: Authenticated Index for Verifiable Cloud Service Selection

Knowledge and Data Engineering

  • Personal Web Revisitation by Context and Content Keywords with Relevance Feedback
  • User Vitality Ranking and Prediction in Social Networking Service: a Dynamic Network Perspective
  • Energy-efficient Query Processing in Web Search Engines
  • Search Rank Fraud and Malware Detection in Google Play
  • SAP: Improving Continuous Top-K Queries over Streaming Data
  • Online Multi-task Learning Framework for Ensemble Forecasting

Services Computing

  • Pattern Based Design and Verification of Secure Service Compositions
  • TAFC: Time and Attribute Factors Combined Access Control for Time-Sensitive Data in Public Cloud
  • DLTSR: A Deep Learning Framework for Recommendation of Long-tail Web Services

Sustainable Computing

  • Optimal Task Dispatching on Multiple Heterogeneous Multiserver Systems with Dynamic Speed and Power Management
  • Energy Theft Detection in Multi-Tenant Data Centers with Digital Protective Relay Deployment
  • Graph Encryption for Top-K Nearest Keyword Search Queries on Cloud

Networking

  • An Efficient Cloud Market Mechanism for Computing Jobs With Soft Deadlines

Security & Privacy

  • Cloud Data Auditing Techniques with a Focus on Privacy and Security

Big Data

  • Service Rating Prediction by Exploring Social Mobile User’s Geographical Locations
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