A machine learning based approach for DDos attack detection

A machine learning based approach for DDos attack detection

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Manylion Llyfryddiaeth
Prif Awduron:	Tahrim, Tasmiah, Sharan, MD Asif, Monsur, Meshaq, Hasan, MD Abid, Azad, Tanzina Binte
Awduron Eraill:	Shakil, Arif
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2024
Pynciau:	DDoS attack Cyber-security Machine learning Random forest classifier HTTP based protocol Transport layer Application layer Computer security HTTP (Computer network protocol)
Mynediad Ar-lein:	http://hdl.handle.net/10361/23575

Eitemau Tebyg

Real time performance analysis on DDoS attack detection using machine learning
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Cyhoeddwyd: (2021)

Analysis on IOT Botnet and DDOS attack
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Mitigating DDoS attacks using a resource sharing network
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Cyhoeddwyd: (2022)

Real-time DDoS detection in software-defined networks using machine learning
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Impact of black-hole and jellyfish attacks in MANET using HTTP traffic
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Botnet detection In IoT devices using machine learning
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Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
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SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
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Multi-layer security analysis and implementation of smartphone based ATM
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Analysis of cybersecurity threats to financial and accounting data: implications for organizational risk management
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Fortifying federated learning: security against model poisoning attacks
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Boundary layer theory.
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Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
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Rating detection by reviews using ML and NLP towards mobile phone recommendation
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Detecting online recruitment fraud by using machine learning
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Cyber threats and scams in FinTech organizations: a brief overview of financial fraud cases, future challenges, and recommended solutions in Bangladesh
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Learning a deep neural network for predicting phishing website
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Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
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Identification of fake news using machine learning in distributed system
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FakeDetect: Bangla fake news detection model based on different machine learning classifiers
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PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
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An in depth analysis of neural network with application in finance
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Skin disease detection and classification using deep learning
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Environmental monitoring with the help of Internet of Things (loT) and machine learning
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Intrusion detection system for various IoT attacks on MQTT protocol
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A counseling system to predict the study path for freshmen
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Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
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Development of IoT based network for monitoring appliances
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ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android
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Demystifying machine learning models for IOT attack detection with explainable AI
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Heart disease prediction using machine learning algorithms
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A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
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Parking data analysis
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Role of cyber security in ensuring safety and security of data in financial institutions
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Performance of geographic routing protocol in mobile ad-hoc networks
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Computer vision based skin disease detection using machine learning
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Public vehicle ETA system using machine learning
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