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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...
ARP Spoofing Detection And Network Trust Monitor
ARP (Address Resolution Protocol) Spoofing Is A Very Common And Dangerous Network Attack. In This Attack, A Hacker Sends Fake ARP Messages Over A Local Area Network To Link Their Own MAC Address With The IP Address Of A Legitimate Device, U...
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...
Wifi Deauthendication Detector
This Paper Presents A Low-cost Wi-Fi Security Monitoring System Designed To Detect Deauthentication Attacks In Real Time Using The ESP8266 NodeMCU Microcontroller. The Increasing Reliance On Wireless Networks Has Made Network Security An Ur...
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...
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...
A Structured Framework For Identifying Network Vulnerability Using NMAP
Network Security Has Become A Critical Concern For Educational Institutions Managing Complex IT Infrastructure With Hundreds Of Interconnected Devices. Manual Auditing Of Network Ports And Services Is Time-consuming, Error-prone, And Often...
Mali Basundi Centre – A Smart Dairy Management And E-Commerce System
Mali Basundi Centre Is A Digital Transformation Initiative For Traditional Dairy Businesses Focusing On Promoting And Selling Local Dairy Products, Especially Basundi, Through An Integrated E-commerce Platform. The System Is Developed Using...
Integration Of SIEM And SOAR For Advanced Threat Defense
The Growing Sophistication Of Cybersecurity Threats Requires A Proactive And Automated Security Strategy. This Paper Discusses The Convergence Of Security Information And Event Management (SIEM) And Security Orchestration, Automation, And R...
Security Web Application For Nexus Shield Solutions Pvt Ltd Pandharpur
"WebSecureity," The Security Web Application, Is A Thorough Cybersecurity Solution Designed To Provide Friendly, Secure Products Including Vulnerability Assessments, Penetration Testing, Safe Web Development, And Ethical Hacking Instruction...
INTRUSION DETECTION OF IMBALANCED NETWORK TRAFFIC BASED ON MACHINE LEARNING AND DEEP LEARNING
The Dynamic Issues In Cyber Security Are Examined Via The Lens Of Intrusion Detection, Using The ADT-SVM (Adaptive Decision Tree-Support Vector Machine) Method. In The Context Of A Fast Evolving Cyber Threat Scenario Assisted By The Interne...
NETGUARD: A RANDOM FOREST APPROACH TO NETWORK INTRUSION DETECTION USING FLASK
NetGuard Is A Novel System Designed For Network Intrusion Detection, Leveraging The Random Forest Algorithm Within A Flask-based Web Interface. This System Aims To Enhance The Security Posture Of Networks By Identifying Malicious Activities...
DETECTION OF VIRTUAL PRIVATE NETWORK TRAFFIC USING MACHINE LEARNING
With The Increasing Prevalence Of Privacy Concerns, Cyber Security Threats, And The Need For Secure Online Communications, The Utilization Of Virtual Private Networks (VPNs) Has Become A Common Practice Among Individuals And Organizations....
INTRUSION DETECTION USING BLOCKCHAIN
Intrusion Detection Systems That Have Emerged In Recent Decades Can Identify A Variety Of Malicious Attacks That Target Networks By Employing Several Detection Approaches. However, The Current Approaches Have Challenges In Detecting Intrusi...
CRYPTOGRAPHY IN NETWORK SECURITY
The Main Aim Of This Paper To Provide The Information Of Cryptography And We All So Describe Uses Of Cryptography And Define The Major Point Of Network Security Basically Cryptography Use For Protecting Over Network And Data Connection And...