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Voice Based Secure Transaction System With Deepfake Detection
The Development And Growth Of Digital Payment Systems Have Created A Need For Secure Authentication Mechanisms. The Use Of Passwords, PINs And One-time Passwords Is No Longer Secure Against Cyber Attacks And Identity Theft. The Paper Sugges...
Intelligent Network Traffic Prediction Using Graph Neural Networks
The Widespread Deployment Of Wireless Communication Technology Has Made The Wi-Fi Network More Susceptible To Sophisticated Cyber-attacks, Which Include De-authentication Attacks, Rogue Access Points, Traffic Flooding, And Protocol Misuse....
Blockchain-Based Multi-User Dynamic Verifiable Searchable Encryption For Secure Data Storage And Query On Malicious Cloud Server
Cloud Computing Has Become The Dominant Platform For Scalable Data Storage And Distributed Services. Despite Its Advantages, Outsourcing Sensitive Data To Untrusted Cloud Servers Introduces Confidentiality And Integrity Risks. Dynamic Searc...
FIM Intelligent File Integrity Monitoring System With Ransomware Detection
File Integrity Monitoring Has Become An Essential Component Of Modern Cybersecurity Systems As Organizations Increasingly Rely On Digital Infrastructure To Store And Process Critical Data. Unauthorized Modification Of Files And Ransomware A...
AI-DRIVEN SECURE NETWORK AUTHENTICATION WITH SPATIAL TRUST VALIDATION
This Paper Presents An AI-Driven Secure Network Authentication System With Spatial Trust Validation To Enhance Traditional Login Security Using Machine Learning And Generative AI Techniques. During Registration, The System Stores Baseline A...
Shadows Of Self : Attachment Insecurity As A Predictor Of Identity Disturbances In Young Adults
This Study Investigates How Attachment Insecurity Predicts Identity Problems In Young People. Identity Building Is An Important Developmental Job In Emerging Adulthood, Yet Many People Experience Instability In Their Self-concept And Emotio...
ONLINE BANKING FRAUD DETECTION USING MACHINE LEARNING TECHNIQUES
The Rapid Growth Of Online Banking Has Significantly Increased Fraudulent Activities Such As Unauthorized Transactions, Phishing Attacks, Identity Theft, And Account Takeovers. Traditional Rule-based Systems Fail To Detect Evolving Fraud Pa...
Anomaly Detection In Blockchain Networks In UPI Transactions
Blockchain Technology Has Revolutionized Distributed Systems Through Its Decentralized, Immutable, And Transparent Architecture. However, The Increasing Adoption Of Blockchain Networks Has Attracted Malicious Actors Exploiting Vulnerabiliti...
ENHANCING STOCK PRICE FORECASTING ACCURACY USING COMPOSITIONAL RNN
Predicting Stock Prices Accurately Is Essential For Making Well-informed Decisions In Erratic Financial Markets. This Paper Introduces A Compositional Deep Learning Framework For Multivariate Time-series Forecasting That Integrates Three RN...
Deep Learning Approach For Detecting Fake Job Posting In Online Recruitment Platform
The Rapid Growth Of Online Job Portals Has Changedhow People Find Work, Making The Process Much Easier. However, This Easy Access Has Also Led To A Massive Increase In Fake Job Postings And Employment Scams. Scammers Use These Platforms To...
The Breast Cancer Recurrence Prediction
Breast Cancer Recurrence Remains One Of The Most Critical Challenges In Long-term Oncology Care, Posing Significant Risks Even After Successful Primary Treatment. While Advances In Early Diagnosis And Therapeutic Interventions Have Improved...
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 Cloud-Based AI-Powered Threat Deception Platform
Modern Web Applications Are Increasingly Targeted By Automated Bots And Sophisticated Attackers Using Advanced Exploitation Techniques Such As Injection Attacks, Credential Stuffing, And Reconnaissance-based Probing. Traditional Intrusion D...
A Machine Learning-Based Intelligent Web Application Firewall For Real-Time Protection Against SQL Injection And XSS Attacks
The Rapid Growth Of Web Applications Has Led To An Increased Attack Surface For Cyberattacks Such As Structured Query Language (SQL) Injection, Cross-Site Scripting (XSS), And Other Application-layer Exploits. Traditional Web Application Fi...
Study On Artificial Intelligence In Cybersecurity
The Cyber Security Scenario Has Become A Matter Of Serious Concern In This Digital World, Where Organizations And Individuals Rely On Technology For Every Activity Ranging From Communication And Commerce To Data Storage. With The Ever-incre...