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IEEE 16-2017 JAVA PROJECTS
IEEE CLOUD COMPUTING
1. KSF-OABE: Outsourced Attribute-Based Encryption with Keyword Search Function for Cloud Storage
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2. Fog Computing May Help to Save Energy in Cloud Computing
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3. CloudArmor: Supporting Reputation-based Trust Management for Cloud Services
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4. A Cloud Trust Evaluation System using Hierarchical Fuzzy Inference System for Service Selection
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5. Fine-Grained Two-Factor Access Control for Web-Based Cloud Computing Services
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IEEE NETWORKING
1. Modified AODV Routing Protocol to Improve Security and Performance against Black Hole Attack
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2. Privacy-Preserving Location Sharing Services for Social Networks
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3. An Enhanced Available Bandwidth Estimation Technique for an End-to-End Network Path
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4. Software Defined Networking with Pseudonym Systems for Secure Vehicular Clouds
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5. JOKER: A Novel Opportunistic Routing Protocol
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IEEE IMAGE PROCESSING
1. PassBYOP: Bring Your Own Picture for Securing Graphical Passwords
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2. Reversible Data Hiding in Encrypted Image with Distributed Source Encoding
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3. Single Sample Face Recognition Based on LPP Feature Transfer
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4. A Shoulder Surfing Resistant Graphical Authentication System
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5. Reversible Data Hiding in Encrypted Images Based on Progressive Recovery
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IEEE DATA MINING OR WEB MINING
1. SmartCrawler: A Two-stage Crawler for Efficiently Harvesting Deep-Web Interfaces
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2. Machine Learning Approach to Forecasting Urban Pollution
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3. FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce
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4. Practical Approximate k Nearest Neighbor Queries with Location and Query Privacy
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5. FRAppE: Detecting Malicious Facebook Applications
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IEEE WEB SECURITY
1. PRISM: PRivacy-aware Interest Sharing and Matching in Mobile Social Networks
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2. An Exploration of Geographic Authentication Schemes
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3. Dummy-Based User Location Anonymization Under Real-World Constraints
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IEEE BIG DATA
1. Phoenix: A MapReduce Implementation With New Enhancements
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2. The SP Theory of Intelligence: Distinctive Features and Advantages
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3. Protection of Big Data Privacy
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4. On Traffic-Aware Partition and Aggregation in MapReduce for Big Data Applications
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