Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection

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

Xehetasun bibliografikoak
Egile Nagusiak:	Rahman, Masroor, Navid, Reshad Karim, Hossain Bhuyain, Md Muballigh, Hasan, Farnaz Fawad, Nup, Naima Ahmed
Beste egile batzuk:	Hossain, Dr. Muhammad Iqbal
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Machine learning Explainable Artificial Intelligence (XAI) ToN-IoT Windows OS Data analysis Intrusion detection Neural networks (Computer science) Artificial intelligence
Sarrera elektronikoa:	http://hdl.handle.net/10361/19351

Antzeko izenburuak

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Heart attack prediction using machine learning and XAI
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A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
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Implementation of diffusion model in realistic face generation
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Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
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Argitaratua: (2023)

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PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
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Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples
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Impact of machine learning and deep learning on biomedical applications and healthcare industry
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Argitaratua: (2024)

Exploring Alzheimer's disease prediction with XAI in various neural network models
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Argitaratua: (2022)

Yoga posture recognition using the deep learning process
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Argitaratua: (2023)

A machine learning approach to credit default prediction and Individual credit scoring
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Argitaratua: (2018)

Comparison of machine learning techniques to predict cardiovascular disease
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A deep learning approach for prediction of ADHD using brain structure
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Argitaratua: (2024)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
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Argitaratua: (2021)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
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Argitaratua: (2023)

Detecting propagandistic poster title: a machine learning approach
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Argitaratua: (2024)

The impact of artificial intelligence on the financial sector
nork: Siddiqui, Ria
Argitaratua: (2024)

An artificial intelligence-enabled crop recommendation system
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Argitaratua: (2023)

Conversational AI for companionship
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Argitaratua: (2022)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
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An interpretable transformer based approach to classify Malaria from blood cell images
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Argitaratua: (2023)

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