Performance analysis of machine learning classi ers for detecting PE malware

Performance analysis of machine learning classi ers for detecting PE malware

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Azmee, ABM.Adnan, Choudhury, Pranto Protim, Alam, Md.Aosaful, Dutta, Orko
Άλλοι συγγραφείς:	Hossain, Muhammad Iqbal
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2020
Θέματα:	Malware detection Machine learning Data protection XGBoost Support Vector Machine Extra Tree Classi er Client- Server Model Neural networks
Διαθέσιμο Online:	http://hdl.handle.net/10361/13837

Παρόμοια τεκμήρια

Automated online exam proctoring system using computer vision and hybrid ML classi er
ανά: Hossain, Zarin Tahia, κ.ά.
Έκδοση: (2022)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
ανά: Karim, Shabab, κ.ά.
Έκδοση: (2018)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
ανά: Shawan, Naveed Rahman, κ.ά.
Έκδοση: (2019)

Analysing Facebook user risk using machine learning algorithm
ανά: Barua, Arnab, κ.ά.
Έκδοση: (2021)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
ανά: Rayhan, Mohammad, κ.ά.
Έκδοση: (2020)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
ανά: Ahmed, Md. Sabbir, κ.ά.
Έκδοση: (2021)

ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android
ανά: Ahmed, Md Faisal, κ.ά.
Έκδοση: (2021)

A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
ανά: Kabir, Solaiman, κ.ά.
Έκδοση: (2021)

Performance analysis of machine learning algorithms for Malware classification
ανά: Bushra, Raisa Hasan, κ.ά.
Έκδοση: (2023)

Heart disease prediction using machine learning algorithms
ανά: Ali, Musfiq, κ.ά.
Έκδοση: (2019)

Classi cation of magnetic configurations using machine learning algorithms
ανά: Bokul, Saffat, κ.ά.
Έκδοση: (2019)

Detection of amyotrophic lateral sclerosis using signal processing and machine learning
ανά: Ali, Zohair Mehtab
Έκδοση: (2020)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
ανά: Tasnim, Anika, κ.ά.
Έκδοση: (2022)

Public vehicle ETA system using machine learning
ανά: Kabir, Md. Miraz, κ.ά.
Έκδοση: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
ανά: Choudhury, Ahnaf Atef, κ.ά.
Έκδοση: (2019)

A comparative study of deep learning methods for automating road condition characterization
ανά: Ruhi, Zurana Mehrin, κ.ά.
Έκδοση: (2021)

Flight fare prediction using machine learning
ανά: Noyon, Md. Shaim Hosan, κ.ά.
Έκδοση: (2024)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
ανά: Bhattacharjee, Ruposri, κ.ά.
Έκδοση: (2024)

Analysis of the impact of online education using EEG signals and machine learning algorithms
ανά: Hoque, Ehsanul, κ.ά.
Έκδοση: (2021)

Alumni opportunities using machine learning
ανά: Siaum, Arshif Sharlimin, κ.ά.
Έκδοση: (2019)

Machine learning as an indicator for breast cancer prediction
ανά: Shadman, Tahsin Mohammed, κ.ά.
Έκδοση: (2019)

Analysis of malware prediction based on infection rate using machine learning techniques
ανά: Zawad, Safir, κ.ά.
Έκδοση: (2020)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
ανά: Toufique, S.M, κ.ά.
Έκδοση: (2024)

A machine learning approach to predict young voter enthusiasm based on non-political factors
ανά: Rahman, Md. Nowroz Junaed, κ.ά.
Έκδοση: (2021)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
ανά: Ahmed, Sajjad
Έκδοση: (2019)

Observing mega cities to grow from space and predicting its growth using machine learning techniques
ανά: Chakma, Mitesh, κ.ά.
Έκδοση: (2018)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
ανά: Alhossen, Md., κ.ά.
Έκδοση: (2021)

A study of malware classification using deep learning
ανά: Rahman, Mohammad Muhibur, κ.ά.
Έκδοση: (2024)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
ανά: Rahman, Tahsinur, κ.ά.
Έκδοση: (2023)

A machine learning approach to detect depression and anxiety using supervised learning
ανά: Ullas, Md Tahmidur Rahman, κ.ά.
Έκδοση: (2019)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
ανά: Islam, Roman, κ.ά.
Έκδοση: (2024)

Bank loan prediction using machine learning
ανά: Mahottam, Parthosarothi, κ.ά.
Έκδοση: (2023)

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
ανά: Chowdhury, Himadri, κ.ά.
Έκδοση: (2019)

Predicting climate induced floods using machine learning
ανά: Saleh, Chowdhury Nafis, κ.ά.
Έκδοση: (2022)

Crop prediction based on geographical and climatic data using machine learning and deep learning
ανά: Alif, Al Amin, κ.ά.
Έκδοση: (2019)

Application of machine learning in credit risk assessment: a prelude to smart banking
ανά: Dhruba, Mir Ishrak Maheer, κ.ά.
Έκδοση: (2019)

The influence of neuromarketing: machine learning based empirical analysis
ανά: Muktadir, MD. Abdullah Al, κ.ά.
Έκδοση: (2024)

Malware detection in blockchain using CNN
ανά: Alam, Afreen, κ.ά.
Έκδοση: (2021)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
ανά: Fahim, Kaji Mehedi Hasan, κ.ά.
Έκδοση: (2024)

A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
ανά: Raizan, Syed Ahsan, κ.ά.
Έκδοση: (2021)