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Papers tagged with "Dos"
Explainable AI (XAI) Multimodal Artificial Intelligence For Ayurvedic Prakriti Assessment Using Questionnaire, Tongue Images, And Facial Features
Ayurveda Classifies People Into Vata, Pitta, And Kapha Types. This Is Called Prakriti. Manual Assessment Relies On Physician Judgment. It Can Be Subjective And Hard To Repeat. This Paper Proposes A Multimodal AI System. It Uses Questionnair...
ENHANCED GASTROINTESTINAL DISEASE DETECTION USING RESNET50: A COMPARATIVE STUDY OF DEEP LEARNING ARCHITECTURES FOR MEDICAL IMAGE CLASSIFICATION
Gastrointestinal (GI) Diseases Such As Polyps, Ulcers, And Tumors Require Early Detection For Effective Treatment. Traditional Manual Inspection Of Endoscopy Images Is Timeconsuming And Prone To Human Error. This Project Proposes An AIbased...
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...
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...
Developing An ML-Based Solution To Refine CAPTCHA For UIDAI
Traditional CAPTCHA Systems, While Effective In Deterring Basic Automated Threats, Often Create A Cumbersome User Experience And Are Increasingly Susceptible To Modern AI- Driven Attacks. This Paper Presents A Machine Learning (ML)- Driven...
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...
A brief review on a fixed dose combination
A Combination Drug Or A Fixed-dose Combination Is A Medicine That Includes Two Or More Active Ingredients Combined In A Single Dosage Form. A Combination Drug Or A Fixed-dose Combination (FDC) Is A Medicine That Includes Two Or More Active...
Detecting Slow DDoS Attacks on SDN
SDN Is A Paradigm That Em- Powers Network Administrators With Unprecedented Levels Of Control, Flexibility, And Agility In The Face Of Today’s Dynamic And Data-intensive Digital Environ- Ments. The Flow Table Is A Fundamental Concept In The...
EXPLORING THE ROLE OF MACHINE LEARNING IN ENHANCING CLOUD SECURITY
The Popularity And Usage Of Cloud Computing Is Increasing Rapidly. Several Companies Are Investing In This Field Either For Their Own Use Or To Provide It As A Service For Others. One Of The Results Of Cloud Development Is The Emergence Of...
IOT BASED ANESTHESIA CONTROL AND MONITORING SYSTEM
This Paper Introduces An Integrated IoT-based Anesthesia Control System, Incorporating Raspberry Pi Pico Microcontroller And Vital Sign Sensors, Alongside A Cloud Server Component For Remote Monitoring And Dosage Adjustment. The System Enab...
ENHANCING DDOS ATTACK DETECTION IN SDN ENVIRONMENTS USING GRU
Distributed Denial Of Service (DDOS) Attacks Continue To Pose A Serious Threat To Internet Security, Aiming To Render Specific Systems Or Networks Inaccessible. Detecting Diverse Types Of DDOS Cyber Attackss With Improved Algorithms While M...
A COMPREHENSIVE REVIEW ON THE CLASSIFICATION, PREPARATION METHODS, EVALUATION AND APPLICATIONS OF CREAM
Origin, Way Of Life, Age, And Health Are All Reflected In The Skin. Cosmetics Are Described As Beauty Products That, Due To Their Components, Have Desired Physiological Actions, Such As The Ability To Heal, Sm...
REVIEW ON NOVEL ANTICANCER AGENT OF DOSTARLIMAB
One Of The Most Deadly Illnesses Of The 20th Century, Cancer Has Alarmingly Increased In The 21st, To The Point Where It Now Affects Every 4 People. Accordimg To GLOBOCAN 2020, There Were 19 Million New Cases Of Malignancy And Roughly 10 Mi...
A COMPARATIVE STUDY OF DDOS DETECTION TECHNIQUES IN CLOUD COMPUTING
Cloud Computing Has Become Increasingly Popular As It Is Cost-effective, Scalable, Flexible, And Supports Virtualization. Nonetheless, Its Susceptibility To A Plethora Of Threats And Attacks Is Evident. Among These, Distributed Denial Of Se...