MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Bibliografische gegevens
Hoofdauteurs:	Haque, Abid Hossain, Jahin, Labiba Ifrit, Katib, Sheikh Yasir Hossain, Tuhee, Saiwara Mahmud, Tasnia, Maisoon
Andere auteurs:	Hossain, Muhammad Iqbal
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2024
Onderwerpen:	Explainable artificial intelligence (XAI) Convolutional neural network (CNN) DenseNet Inception ResNet V2 VGG16 Comparative analysis Neural networks (Computer science) Artificial intelligence
Online toegang:	http://hdl.handle.net/10361/22824

Gelijkaardige items

Exploring Alzheimer's disease prediction with XAI in various neural network models
door: Rahman, Quazi Ashikur, et al.
Gepubliceerd in: (2022)

Bank loan prediction using machine learning
door: Mahottam, Parthosarothi, et al.
Gepubliceerd in: (2023)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
door: Rahman, Masroor, et al.
Gepubliceerd in: (2023)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
door: Rahman, Tahsinur, et al.
Gepubliceerd in: (2023)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
door: Farhan, Rafid, et al.
Gepubliceerd in: (2024)

Heart attack prediction using machine learning and XAI
door: Ahsan, Mumtahina
Gepubliceerd in: (2023)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
door: Ishrak, Gazi Hasin, et al.
Gepubliceerd in: (2022)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
door: Ifty, Md. Hasin Sarwar, et al.
Gepubliceerd in: (2024)

Fundamentals of artificial neural networks /
door: Hassoun, Mohamad H.
Gepubliceerd in: (1995)

Blurring of inappropriate scenes in a video using image processing
door: Islam, Rahat Shahriar, et al.
Gepubliceerd in: (2019)

EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
door: Mim, Ankhi Akter, et al.
Gepubliceerd in: (2024)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
door: Mubin, Kazi Ehsanul, et al.
Gepubliceerd in: (2022)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
door: Ismail, Sayem Mohammad, et al.
Gepubliceerd in: (2021)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
door: Rahman, Afridi Ibn, et al.
Gepubliceerd in: (2022)

Interpretable MOOC dropout prediction using different Ensemble Methods and XAI
door: Khan, Labib Hasan, et al.
Gepubliceerd in: (2023)

Personalization in federated recommendation system using SVD++ with explainability
door: Patwary, Kabbya Kantam, et al.
Gepubliceerd in: (2022)

A deep neural network approach for intelligent crop selection and yield prediction based on 46 parameters for agricultural zone-28 in Bangladesh
door: Islam, Tanhim, et al.
Gepubliceerd in: (2018)

An efficient approach to detect melanoma skin cancer using a custom CNN model
door: Rahman, K.M Saidur, et al.
Gepubliceerd in: (2023)

Making AI intelligible :
door: Cappelen, Herman

Artificial Intelligence : a new synthesis /
door: Nilsson, Nils J., 1933-
Gepubliceerd in: (1998)

Artificial intelligence /
door: Rich, Elaine
Gepubliceerd in: (1991)

Artificial intelligence : a modern approach /
door: Russell, Stuart J. (Stuart Jonathan)
Gepubliceerd in: (2003)

Introduction to artificial intelligence /
door: Charniak, Eugene
Gepubliceerd in: (1985)

Principles of artificial intelligence /
door: Nilsson, Nils J., 1933-
Gepubliceerd in: (1980)

Artificial intelligence /
door: Winston, Patrick Henry
Gepubliceerd in: (1992)

Artificial intelligence at MIT : expanding frontiers /
Gepubliceerd in: (1990)

Introduction to artificial intelligence /
door: Jackson, Philip C., 1949-
Gepubliceerd in: (1985)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
door: Radiah, Faiza, et al.
Gepubliceerd in: (2024)

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
door: Marvin, Ggaliwango
Gepubliceerd in: (2022)

Implementing A.I based solutions to understand & predict consumer sentiment
door: Bin Ahmed, Omar
Gepubliceerd in: (2023)

Statistical mechanics of learning /
door: Engel, A. (Andreas), 1957-
Gepubliceerd in: (2001)

A deep learning approach for prediction of ADHD using brain structure
door: Siam, Shafin Ahad, et al.
Gepubliceerd in: (2024)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
door: Ferdous, Md.Rubaiat, et al.
Gepubliceerd in: (2024)

Introduction to AI robotics /
door: Murphy, Robin, 1957-
Gepubliceerd in: (2000)

Intelligent systems and robotics /
Gepubliceerd in: (2000)

Artificial intelligence : a modern approach /
door: Russell, Stuart J. (Stuart Jonathan)
Gepubliceerd in: (2016)

XOPSIS: an explainable AI method based on the order of preference by similarity to ideal solution
door: Rahman, Anika
Gepubliceerd in: (2024)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
door: Sharma, Tanmoyee, et al.
Gepubliceerd in: (2021)

An Analysis on Bengali handwritten conjunct character recognition and prediction
door: Munawar, Maazin, et al.
Gepubliceerd in: (2021)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
door: Akhter, Nasrin
Gepubliceerd in: (2023)