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.

Bibliografiske detaljer
Main Authors:	Rahman, Masroor, Navid, Reshad Karim, Hossain Bhuyain, Md Muballigh, Hasan, Farnaz Fawad, Nup, Naima Ahmed
Andre forfattere:	Hossain, Dr. Muhammad Iqbal
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	Machine learning Explainable Artificial Intelligence (XAI) ToN-IoT Windows OS Data analysis Intrusion detection Neural networks (Computer science) Artificial intelligence
Online adgang:	http://hdl.handle.net/10361/19351

Lignende værker

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Machine learning approach for improving decision support in ICU
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Multimodal human detection in disaster situations using deep learning & artificial intelligence
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Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
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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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Predicting climate induced floods using machine learning
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Application of machine learning in credit risk assessment: a prelude to smart banking
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Udgivet: (2019)

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

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
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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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Explainable artificial intelligence and model calibration for water quality prediction
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Start up business solution using machine learning
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Udgivet: (2018)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
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Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
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NLP-based AI robot for intelligent interaction
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A review on the role of artificial intelligence in healthcare transformation
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Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
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Performance comparison of transformer-based models for multi-reasoning in machine reading comprehension
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Investigation assistant with suspect anticipating intelligence
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Udgivet: (2019)

Machine learning approach for ECG analysis and predicting different heart diseases
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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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Exploring Alzheimer's disease prediction with XAI in various neural network models
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Udgivet: (2022)

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

A machine learning approach to credit default prediction and Individual credit scoring
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Udgivet: (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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Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
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Udgivet: (2021)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
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Detecting propagandistic poster title: a machine learning approach
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The impact of artificial intelligence on the financial sector
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An artificial intelligence-enabled crop recommendation system
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Conversational AI for companionship
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MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
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Udgivet: (2024)

An interpretable transformer based approach to classify Malaria from blood cell images
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Udgivet: (2023)

Making AI intelligible :
af: Cappelen, Herman

Artificial Intelligence : a new synthesis /
af: Nilsson, Nils J., 1933-
Udgivet: (1998)