Impact Factor
Publish Your Paper
Submit your research manuscript for fast peer review and publication.
Submit Paper
Papers tagged with "Attack"
A Novel Token-Wise Asymmetric Contrastive Learning For Robust Face Presentation Attack Detection
Face Recognition Systems Have Become A Fundamental Component Of Modern Biometric Authentication. However, These Systems Remain Vulnerable To Presentation Attacks Such As Printed Photographs, Replay Videos, Masks, And AI-generated Deepfakes....
AI Trust & Performance Evaluation Platform (AI-TPEP)
AI-TPEP (AI Trust & Performance Evaluation Platform) Is A Modular And Reproducible Framework For Comprehensive Evaluation Of Machine Learning Systems Across Key Trust Dimensions, Including Predictive Performance, Calibration, Fairness, Robu...
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...
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...
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...
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....
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...
Psychological Attack Surface Modeling Through Artificial Intelligence
Artificial Intelligence (AI) Has Emerged As A Crucial Element In Contemporary Cyber Security Frameworks, Facilitating Automated Threat Detection, Predictive Analytics, And Adaptive Defense Strategies. Nonetheless, The Deployment Of AI-drive...
Opaline Attachment Defense System For Proactive Detection And Sanitization Of Malicious Email Files
Email Attachments Remain A Primary Vector For Phishing And Malware Attacks, With Traditional Signature-based Defences Struggling Against Zero-day Threats. This Paper Introduces Opaline, A Proactive Defence System That Leverages Deep Learnin...
Geopolymer Concrete By Using Flyash And Ggbs As A Replacement Cement
Concrete Has Occupied An Important Place In Construction Industry In The Past Few Decades And It Is Used Widely In All Types Of Constructions Ranging From Small Buildings To Large Infrastructural Dams Or Reservoirs. Cement Is Major Ingredie...
DDOS ATTACKS RECOGNITION AND FORECASTING USING MACHINE LEARNING ALGORITHMS
Distributed Network Disruptions, Often Termed Distributed Denial Of Service (DDoS) Attacks, Exploit Vulnerabilities In System Infrastructures, Such As Web Servers Of Legitimate Organizations. Traditional Research Has Predominantly Utilized...
A Review On Machine Learning Based Models For Identifying Potential Adversarial And Poisoning Attacks
Machine Learning (ML) Has Revolutionized Data-driven Decision-making Across Sectors Such As Healthcare, Finance, Defense, And Cybersecurity. However, As Its Influence Grows, So Does Its Vulnerability To Adversarial And Poisoning Attacks. Ad...
ENHANCING SECURE COMMUNICATION IN THE CLOUD THROUGH BLOCKCHAIN ASSISTED -CP-DABE
As Cloud Computing Becomes Increasingly Integral To Modern Data Management And Communication, Ensuring Secure And Fine-grained Access Control Remains A Pressing Challenge. This Paper Proposes A Novel Framework That Enhances Cloud Communicat...