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Data Security And User Privacy In Digital Library Environment : Emerging Issues, Challenges And Strategies
In Today's Times When The Conventional Libraries Are Being Replaced By Digitally Connected Service Environments, The Increase Of Collection, Processing, Storage, Analysis And Sharing Of User Information Has Expanded Beyond Imagination. Acce...
A Privacy-Preserving Federated Learning Framework With Dual Explainability For Hybrid CNN–LSTM Based Anomaly Detection In IoT Network Traffic
Intrusion Detection Systems (IDS) For The Internet Of Things Face A Three-way Tension: Deep Models Detect Attacks Accurately But Behave As Opaque Black Boxes, Centralised Training Pipelines Require Raw Traffic To Be Exported From Every Devi...
Regulating Deepfakes In India: Balancing Technological Innovation, Privacy Rights And Freedom Of Expression
Deepfake Technology Powered By Artificial Intelligence Has Emerged As One Of The Most Influential Developments In The Digital Age. By Creating Realistic But Manipulated Audio, Video And Image Content Deepfakes Have Opened New Possibilities...
PermissionShield: A Hybrid Static And Dynamic Analysis Approach For Android Permission Misuse Detection
The Rapid Growth Of Android Applications Has Increased Concerns Regarding Excessive And Unjustified Permission Usage, Which Can Lead To Privacy Breaches, Data Leakage, And Unauthorized Access To Sensitive Resources. Existing Android Securit...
Next-Gen ATM Security Combining Facial Recognition And User Consent Via Deep Learning
The Aim Of This Research Is To Improve The Security Of ATMs By Creating ATM Models That Make Use Of Convolutional Neural Networks (CNN) And Recurrent Neural Networks (RNN) For Facial Recognition Of Users And User Approval.Materials And Meth...
DIFFERENTIALLY PRIVATE SAFE BROWSING: AES-ENCRYPTED USER DATA FOR REAL-TIME PHISHING DETECTION
With The Rise In Internet Usage, The Dangers Brought About By Malicious URLs And Phishing Websites Have Also Escalated, Thus The Need For Internet Security Becoming Paramount. Existing Solutions To Detect Malicious URL/website Include The B...
AI-Driven Banking Security Monitoring System
Banking Environments Consistently Rank Among The Most Security-critical Operational Domains, Where Institutions Must Safeguard Financial Assets, Sensitive Customer Information, And Personnel Against Theft, Fraud, And Unauthorized Access. Em...
A PROXY RE-ENCRYPTION APPROACH TO SECURE DATA SHARING IN THE INTERNET OF THINGS BASED ON BLOCKCHAIN
The Rapid Evolution Of The Internet Of Things (IoT) Has Enabled Massive Data Generation And Sharing Across Cloud Platforms. However, Data Security Remains A Critical Challenge, As Unauthorized Access Or Misuse Can Lead To Severe Consequence...
DPDP Compliance Tool
This Project Presents The Design And Development Of A DPDP Compliance Tool Aimed At Helping Organizations Manage Personal Data In Accordance With The Digital Personal Data Protection Act, 2023. With Increasing Concerns Over Data Privacy, Or...
Privacy-Preserving Multiple Payment Fraud Detection Using LSTM-based Federated Learning.
This Paper Presents A Privacy-preserving Framework For Multiple Payment Fraud Detection Using Long Short-Term Memory (LSTM) And Federated Learning. The Model Captures Temporal Patterns In Transaction Data To Identify Fraudulent Activities E...
A PRIVACY-ENHANCED CRYPTO-BIOMETRIC AUTHENTICATION FRAMEWORK
Airport Authority Systems Demand The Highest Levels Of Security For Controlling Access To Restricted Zones, Yet Traditional Authentication Mechanisms Based On Identity Cards, PINs, And Passwords Remain Inherently Susceptible To Theft, Forge...
From Centralization To Decentralization: Blockchain's Role In Transforming Social Media Platform Page
The Growing Dependence On Social Media Platforms For Day-to-day Communication Has Made Digital Privacy A Serious Concern. Platforms Such As Instagram, Twitter, And Facebook Host Vast Amounts Of User-generated Content, Including Images, Text...
Enhancing Data Warehouse Queries Through Intelligent Keyword Search With Privacy & Access Control
Traditional Data Warehouse Systems Require Users To Write Structured SQL Queries To Retrieve Information, Which Is Difficult For Non-technical Users. Moreover, Sensitive Organizational Data Stored In Warehouses Demands Controlled Access And...
Secure Image Publishing System Using Facial Identity Verification
With The Rapid Growth Of Social Media Platforms, Unauthorized Sharing And Misuse Of Personal Images Has Become A Major Privacy Concern. Many Users Upload Photos Containing Other Individuals Without Their Permission, Which May Lead To Privac...
A Deep Learning Based Privacy Preservation Mechanism For IoT And IoMT Applications
Batch Processing In Deep Learning Has Been Explored Extensively To Secure IoMT Networks. Devices Such As Multimedia Sensor Nodes (MSNs) In The IoMT Are Able To Produce Both Multimedia And Non-multimedia Data. The Generated Data Are Sent Fro...