IEEE DotNet Projects 2022 – 2023

DLK Career Development Centre in Chennai is your destination for cutting-edge IEEE DotNet projects for the year 2022-2023. Our expert team specializes in providing the latest and most innovative DotNet solutions to help you excel in the world of technology. Whether you’re a student, professional, or enthusiast, our projects cater to various skill levels. Join us today to harness the power of IEEE DotNet and propel your career or academic journey to new heights.

Our IEEE DotNet projects are designed to provide hands-on experience, foster critical thinking, and develop problem-solving skills. We emphasize real-world application, ensuring you are well-prepared for the challenges and opportunities in the technology sector. With DLK Chennai, you have the support and expertise needed to excel in IEEE DotNet projects for 2022-2023. Enroll now and embark on a journey towards a successful and rewarding future in technology.

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IEEE DotNet Title List


 A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data

 Catch You if You Misbehave: Ranked Keyword Search Results Verification in Cloud Computing

 Circuit Ciphertext-Policy Attribute-Based Hybrid Encryption with Verifiable Delegation in Cloud Computing

Conjunctive Keyword Search with Designated Tester and Timing Enabled Proxy Re-Encryption Function for E-Health Clouds

 Dynamic and Public Auditing with Fair Arbitration for Cloud Data

 Dynamic-Hash-Table Based Public Auditing for Secure Cloud Storage

Enabling Cloud Storage Auditing with Verifiable Outsourcing of Key Updates

 Fine-Grained Two-Factor Access Control for Web-Based Cloud Computing Services

 Identity-Based Proxy-Oriented Data Uploading and Remote Data Integrity Checking in Public Cloud

 KSF-OABE: Outsourced Attribute-Based Encryption with Keyword Search Function for Cloud Storage

 Leveraging Data Deduplication to Improve the Performance of Primary Storage Systems in the Cloud

MMB cloud-tree: Authenticated Index for Verifiable Cloud Service Selection

 Trust-but-Verify: Verifying Result Correctness of Outsourced Frequent Itemset Mining in Data-Mining-As-a-Service Paradigm


 A Mixed Generative-Discriminative Based Hashing Method

Personalized Travel Sequence Recommendation on Multi-Source Big social media

 Practical Approximate k Nearest Neighbor Queries with Location and Query Privacy

 Text Mining the Contributors to Rail Accidents

 User-Service Rating Prediction by Exploring Social Users’ Rating Behaviors


 Content-Adaptive Steganography by Minimizing Statistical Detectability

 Secure Reversible Image Data Hiding Over Encrypted Domain via Key Modulation

 Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data

 Privacy-Preserving-Outsourced Association Rule Mining on Vertically Partitioned Databases
 EPLQ: Efficient Privacy-Preserving Location-Based Query Over Outsourced Encrypted Data

 A Joint Time Synchronization and Localization Design for Mobile Underwater Sensor Networks

 Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps

 DaGCM: A Concurrent Data Uploading Framework for Mobile Data Gathering in Wireless Sensor Networks

 Traffic Decorrelation Techniques for Countering a Global Eavesdropper in WSNs

 WORAL: A Witness Oriented Secure Location Provenance Framework for Mobile Devices


 Efficient Certificateless Access Control for Wireless Body Area Networks

 Finding Nonequivalent Classifiers in Boolean Space to Reduce TCAM Usage

 Geographic and Opportunistic Routing for Underwater Sensor Networks

 Optimizing Cost for Online Social Networks on Geo-Distributed Clouds

 Secure and Efficient data communication protocol for Wireless Body Area Networks


 Authenticated Key Exchange Protocols for Parallel Network File Systems

 Real-Time Semantic Search Using Approximate Methodology for Large-Scale Storage Systems


 Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining

 ID2S Password-Authenticated Key Exchange Protocols

 Publicly Verifiable Inner Product Evaluation over Outsourced Data Streams under Multiple Keys