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2018 – 2019 IEEE DOTNET PROJECTS

About IEEE DotNet Projects

Welcome to 1 Crore Project Centre Chennai, your gateway to the future of technology and innovation. We specialize in offering a wide range of 2018-2019 IEEE Dotnet Projects that are designed to empower aspiring engineers and computer science enthusiasts. Our projects are meticulously crafted to align with the dynamic landscape of technology, ensuring that you gain hands-on experience with the latest trends in the field of Dotnet development.

At 1 Crore Project Centre Chennai, we understand the importance of staying updated with the latest industry standards. Our 2018-2019 IEEE Dotnet Projects are carefully selected to cover a broad spectrum of domains, including artificial intelligence, machine learning, IoT, cloud computing, and more. Whether you are a student looking to enhance your academic portfolio or a professional seeking to upskill, our projects offer a unique opportunity to work on real-world challenges and gain practical knowledge.

Join us on a journey of innovation and excellence as you explore the world of 2018-2019 IEEE Dotnet Projects. Our team of experienced mentors and industry experts is committed to providing you with guidance and support throughout your project journey. Discover the limitless possibilities of Dotnet development, and take your career to new heights with 1 Crore Project Centre Chennai. Embrace the future today!

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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