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Papers tagged with "Anomaly Detection"
ProcureAi: An AI-Driven Procurement Spend Intelligence Platform For Automated Anomaly Detection, Supplier Optimisation And Predictive Expenditure Forecasting
- Enterprises Routinely Lose Between Three And Eight Percent Of Addressable Procurement Spend To Fragmentation, Duplicate Payments, Maverick Buying, Contract Price Leakage, And Unmanaged Tail Spend. This Paper Presents ProcureAI, A Full-sta...
ML-Based Anomaly Detection In Healthcare Systems Using ESP32 Microcontroller
Continuous Monitoring Of Patient Vital Signs Through Wireless Body Area Networks (WBANs) Is Increasingly Central To Modern Healthcare, Yet Validating Anomaly-detection Pipelines On Real Hospital Networks Is Costly, Ethically Constrained, An...
AI-POWERED INTELLIGENT FRAMEWORK FOR DETECTION AND PREVENTION OF CYBERSECURITY ATTACKS USING MACHINE LEARNING ALGORITHMS
This Paper Proposes An AI-powered Cybersecurity Framework Integrating Machine Learning, Deep Neural Networks, Real-time Network Monitoring, Automated Alerting, And Dashboard-driven Response For Enterprise Threat Detection And Prevention. Th...
CardioGuard: A Real-Time Health Monitoring And Emergency Alert System Using WebSocket And Persistence-Based Anomaly Detection
The Increasing Prevalence Of Cardiovascular And Respiratory Conditions Demands Continuous, Reliable, And Intel-ligent Health Monitoring Systems Capable Of Operating Beyond Clinical Settings. Existing Threshold-based Monitoring Systems Suffe...
REAL –TIME AI INTRUSION DETECTION SYSTEM USING MACHINE LEARNING
The Relentless Escalation Of Cyber Threats In Contemporary Network Environments Has Necessitated A Fundamental Rethinking Of Intrusion Detection Methodologies. Traditional Signature-based Systems, While Once Sufficient, Have Proven Structur...
Intelligence Agent For Network Service And Resource Management
Silent Performance Degradation In Network Systems Is A Critical Operational Challenge Where Servers Gradually Lose Efficiency Without Explicit Failures Or Alarms, Leading To Reduced Reliability, Increased Downtime Risk, And Higher Maintenan...
HYBRID MACHINE LEARNING AND DEEP LEARNING-BASED VPN NETWORK TRAFFIC ANOMALY DETECTION SYSTEM
The Rapid Growth Of Internet Usage And The Widespread Adoption Of Virtual Private Networks (VPNs) Have Significantly Enhanced Secure Communication, But Have Also Introduced New Challenges In Detecting Cyber Threats Hidden Within Encrypted T...
Digital Twin Driven Hybrid LSTM And Isolation Forest Framework For Predictive Failure Detection And Autonomous Self Healing In Servers
Cloud Server Infrastructures Form The Foundation For Technical Services, Where The Services Will Be Highly Available, Critical For Business Continuity And User Satisfaction. Traditional Systems Notify The User After The Failures Had Occurre...
A MACHINE LEARNING BASED CLASSIFICATION AND PREDICTION TECHNIQUES FOR DDOS ATTACKS
Distributed Denial-of-Service (DDoS) Attacks Represent A Significant Threat In Contemporary Network Security, Compromising The Availability And Integrity Of Services Across Diverse Platforms. These Attacks Overwhelm Target Networks With Sub...
Cyber Threat Intelligence System Using CNN-LSTM Deep Learning Model
Cyber Threat IntelligenceThe Rapid Evolution Of Cyber Threats, Including Malware, Phishing Attacks, Distributed Denial Of Service (DDoS), And Advanced Persistent Threats, Has Made Traditional Security Mechanisms Less Effective. Conventional...
Detection Of Screen Shadowing-Based Visual Data Exfiltration Attacks In VNC Systems
With The Increasing Adoption Of Remote Desktop Technologies In Enterprise Environments, The Security Of Visual Network Computing (VNC) Systems Has Become A Critical Concern. Screen Shadowing Attacks Represent A Significant Threat Vector Whe...
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...
IoT-Enabled Unified Gas Safety Management System
Gas Leaks Are A Real Threat—one That Puts Lives, Property, And Industries At Constant Risk. Fires, Explosions, Toxic Exposure, Even Simple Kitchen Accidents Trace Back To Leaks That Go Unnoticed For Just A Few Minutes. The Old Ways Of Handl...
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...
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...