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Papers tagged with "Detection System"
AI-Powered Intelligent Framework For Detection And Prevention Of Cybersecurity Attacks Using Machine Learning Algorithms
The Rapid Growth Of Digital Technologies Has Substantially Increased Exposure To Cybersecurity Threats Including Malware, Phishing, Ransomware, And Unauthorized Network Intrusions. Traditional Signature-based Security Systems Are Inherently...
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...
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...
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...
TRANSGUARD-RT: A REAL-TIME TRANSFORMER-DRIVEN INTRUSION DETECTION SYSTEM USING LIVE NETWORK TRAFFIC ANALYTICS
The Rapid Expansion Of Internet-based Communication And Interconnected Digital Infrastructures Has Significantly Increased Exposure To Advanced Cyber Threats, Including Malware Infiltration, Phishing Attempts, Denial-of-service Attacks, And...
Smart Cybersecurity Intrusion Detection & Prevention System Using AI (SecurityHub)
This Project Examines The Combination Of Network-level Security And Physical Biometric Verification Within A Unified, Hardware-accelerated Edge Environment. Conventional Security Setups Frequently Struggle With Operational Slowdowns, Primar...
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....
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...
Advanced Gas Thermal Sensing System
The Advanced Gas Thermal Sensing System (AGTSS) Is An IoT-enabled Industrial Safety Monitoring Platform Designed To Detect Hazardous Gases And Thermal Anomalies In Real Time. Industrial Environments Such As Chemical Plants, Manufacturing Fa...
Machine Learning Approaches For Intelligent Intrusion Detection Systems In Cloud Networks
Cloud Computing Has Become A Fundamental Platform For Storing Data And Running Applications Due To Its Scalability, Flexibility, And Cost Efficiency. However, The Rapid Growth Of Cloud Environments Has Also Increased Security Threats Such A...
Cyber Intrusion Detection Using Machine Learning Techniques
Cyber Intrusions Are Becoming Increasingly Complex And Sophisticated, Making Them Difficult To Detect Using Conventional Rule-based And Signature-driven Security Mechanisms. The Rapid Growth Of Network Traffic And Evolving Attack Patterns D...
Development Of An Adaptive Machine Learning Framework For Real-Time Anomaly Detection In Cybersecurity
The Exponential Growth Of Digital Infrastructures And The Increasing Sophistication Of Cyber-attacks Necessitate The Development Of Intelligent, Adaptive, And Real-time Defense Mechanisms. Traditional Signature-based Intrusion Detection Sys...
Early Detection And Management Of Forest Fires Caused By Natural Events
Forests Are An Essential And Integral Part Of Our Ecosystem. It Plays A Crucial Role In Maintaining The Ecological Equilibrium. They Are The Habitat To Various Species Of Animals. Being The Major Producers Of Oxygen, The Very Existence Of A...
DDOS DETECTION IN SOFTWARE DEFINED NETWORK USING FEDERATED LEARNING
Distributed Denial Of Service Attacks Have Become A Great Concern For Security In Software Defined Networking(SDN), As They Mostly Overload Centralized Security Mechanisms. In This Work, A Federated Learning-Based Intrusion Detection System...
AI BASED CYBER DEFENCE SYSTEM
With The Increasing Complexity And Volume Of Cyber Threats, Traditional Cybersecurity Systems Are Struggling To Keep Up With The Pace Of Emerging Attacks. This Paper Proposes An Artificial Intelligence (AI)-based Cybersecurity System Design...