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.

Библиографические подробности
Главные авторы:	Rahman, Masroor, Navid, Reshad Karim, Hossain Bhuyain, Md Muballigh, Hasan, Farnaz Fawad, Nup, Naima Ahmed
Другие авторы:	Hossain, Dr. Muhammad Iqbal
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	Machine learning Explainable Artificial Intelligence (XAI) ToN-IoT Windows OS Data analysis Intrusion detection Neural networks (Computer science) Artificial intelligence
Online-ссылка:	http://hdl.handle.net/10361/19351

Схожие документы

Bank loan prediction using machine learning
по: Mahottam, Parthosarothi, и др.
Опубликовано: (2023)

Machine learning approach for improving decision support in ICU
по: Siddiquee, Mohib Billah, и др.
Опубликовано: (2019)

Alumni opportunities using machine learning
по: Siaum, Arshif Sharlimin, и др.
Опубликовано: (2019)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
по: Rafat, Md. Tasbi, и др.
Опубликовано: (2023)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
по: Ifty, Md. Hasin Sarwar, и др.
Опубликовано: (2024)

Heart attack prediction using machine learning and XAI
по: Ahsan, Mumtahina
Опубликовано: (2023)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
по: Mubin, Kazi Ehsanul, и др.
Опубликовано: (2022)

Predicting climate induced floods using machine learning
по: Saleh, Chowdhury Nafis, и др.
Опубликовано: (2022)

Application of machine learning in credit risk assessment: a prelude to smart banking
по: Dhruba, Mir Ishrak Maheer, и др.
Опубликовано: (2019)

Real time performance analysis on DDoS attack detection using machine learning
по: Suvra, Debashis Kar, и др.
Опубликовано: (2021)

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
по: Marvin, Ggaliwango
Опубликовано: (2022)

Implementation of diffusion model in realistic face generation
по: Rahman, Abidur, и др.
Опубликовано: (2024)

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
по: Khan, Labib Hasan, и др.
Опубликовано: (2023)

Explainable artificial intelligence and model calibration for water quality prediction
по: Hellen, Nakayiza
Опубликовано: (2022)

Start up business solution using machine learning
по: Sohan, Saad Ahmed, и др.
Опубликовано: (2018)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
по: Rahman, Tahsinur, и др.
Опубликовано: (2023)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
по: Radiah, Faiza, и др.
Опубликовано: (2024)

NLP-based AI robot for intelligent interaction
по: Dastagir, Golam, и др.
Опубликовано: (2024)

A review on the role of artificial intelligence in healthcare transformation
по: Brishti, Iffat Ara
Опубликовано: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
по: Ferdous, Md.Rubaiat, и др.
Опубликовано: (2024)

Performance comparison of transformer-based models for multi-reasoning in machine reading comprehension
по: Sayma, Sadika, и др.
Опубликовано: (2024)

Investigation assistant with suspect anticipating intelligence
по: Abdullah, Saqueeb, и др.
Опубликовано: (2019)

Machine learning approach for ECG analysis and predicting different heart diseases
по: Tithi, Sushmita Roy, и др.
Опубликовано: (2019)

Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples
по: Zahir, Shafkat, и др.
Опубликовано: (2023)

Impact of machine learning and deep learning on biomedical applications and healthcare industry
по: Kabir, Md Saif, и др.
Опубликовано: (2024)

Exploring Alzheimer's disease prediction with XAI in various neural network models
по: Rahman, Quazi Ashikur, и др.
Опубликовано: (2022)

Yoga posture recognition using the deep learning process
по: Islam, Abidul, и др.
Опубликовано: (2023)

A machine learning approach to credit default prediction and Individual credit scoring
по: Rahman, Md. Jaber, и др.
Опубликовано: (2018)

Comparison of machine learning techniques to predict cardiovascular disease
по: Jaber, Mir Mohammad, и др.
Опубликовано: (2019)

A deep learning approach for prediction of ADHD using brain structure
по: Siam, Shafin Ahad, и др.
Опубликовано: (2024)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
по: Sharma, Tanmoyee, и др.
Опубликовано: (2021)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
по: Shakil, Mahmudul Hasan
Опубликовано: (2023)

Detecting propagandistic poster title: a machine learning approach
по: Mahmood, Riaz, и др.
Опубликовано: (2024)

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

An artificial intelligence-enabled crop recommendation system
по: Uddin, Raiyan, и др.
Опубликовано: (2023)

Conversational AI for companionship
по: Khan, Zakaria, и др.
Опубликовано: (2022)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
по: Haque, Abid Hossain, и др.
Опубликовано: (2024)

An interpretable transformer based approach to classify Malaria from blood cell images
по: Islam, Mehafuza, и др.
Опубликовано: (2023)

Making AI intelligible :
по: Cappelen, Herman

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