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Secure And Efficient Cloud Data Storage Using Deduplication And Blockchain Technology
This Paper Presents A Secure And Efficient Cloud Data Storage Using Deduplication And Blockchain Technology To Reduce Storage Requirements And Enhance Data Security.Cloud Computing Has Become A Fundamental Backbone For Modern Organizations,...
Intelligent Sql Injection Detection Using CSSGL
SQL Injection Remains One Of The Most Critical Security Threats To Web Applications, Enabling Attackers To Manipulate Database Queries And Gain Unauthorized Access To Sensitive Information. Traditional Detection Methods Often Fail To Identi...
Blockchain Framework For Secure And Efficient Maritime Supply Chain
The Maritime Supply Chain Is One Of The Most Complex And Globally Distributed Networks In The World, Involving Multiple Stakeholders Such As Shipping Companies, Port Authorities, Freight Forwarders, Customs Agencies, Insurance Providers, An...
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...
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...
Dual Authentication Door Lock System Using ESP32
This Paper Presents A Dual Authentication Door Lock System Based On The ESP32 Microcontroller Aimed At Enhancing Security In Modern Access Control Applications. The System Employs Two Levels Of Authentication, Such As RFID, Password, Or Bio...
Portable SOC Log Analyzer For Isolated Networks (Offline SIEM Lite)
The Growing Complexity Of Cyber Threats Has Increased The Importance Of Continuous Monitoring And Analysis Of System Logs. Analyzing System Logs Reveals Patterns Of Activity That Help Uncover Unusual Behaviour And Possible Security Issues....
Digital Asset Discovery For Organization
The Rapid Expansion Of Cloud Computing, APIs, And Third-party Services Has Significantly Increased The Digital Attack Surface Of Modern Organizations. Many Cyber Incidents Occur Due To Unmanaged Or Forgotten Assets Such As Test Servers, Mis...
DESIGN OF VLSI-BASED HARDWARE DETECTION SYSTEM AGAINST POWER SIDE-CHANNEL ATTACKS
The Rapid Growth Of System-on-Chip (SoC) Technologies Has Increased Their Vulnerability To Advanced Physical And Power Side-channel Attacks, Which Can Compromise The Security Of Integrated Circuits. Conventional Countermeasures Often Involv...
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...
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...
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...
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...
A Novel Steganographic Approach To Strengthen Enhanced MFA And Attack Prevention For Credential Transmission
Digital Banking Infrastructure Faces Escalating And Sophisticated Threats Including Phishing, Man-in-the-Middle (MITM) Interceptions, Session Hijacking, Replay Attacks, Credential Stuffing, And Denial-of-service (DoS) Campaigns. Conventiona...