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.

书目详细资料
Main Authors:	Azmee, ABM.Adnan, Choudhury, Pranto Protim, Alam, Md.Aosaful, Dutta, Orko
其他作者:	Hossain, Muhammad Iqbal
格式:	Thesis
语言:	English
出版:	Brac University 2020
主题:	Malware detection Machine learning Data protection XGBoost Support Vector Machine Extra Tree Classi er Client- Server Model Neural networks
在线阅读:	http://hdl.handle.net/10361/13837

相似书籍

Automated online exam proctoring system using computer vision and hybrid ML classi er
由: Hossain, Zarin Tahia, et al.
出版: (2022)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
由: Karim, Shabab, et al.
出版: (2018)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
由: Shawan, Naveed Rahman, et al.
出版: (2019)

Analysing Facebook user risk using machine learning algorithm
由: Barua, Arnab, et al.
出版: (2021)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
由: Rayhan, Mohammad, et al.
出版: (2020)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
由: Ahmed, Md. Sabbir, et al.
出版: (2021)

ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android
由: Ahmed, Md Faisal, et al.
出版: (2021)

A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
由: Kabir, Solaiman, et al.
出版: (2021)

Performance analysis of machine learning algorithms for Malware classification
由: Bushra, Raisa Hasan, et al.
出版: (2023)

Heart disease prediction using machine learning algorithms
由: Ali, Musfiq, et al.
出版: (2019)

Classi cation of magnetic configurations using machine learning algorithms
由: Bokul, Saffat, et al.
出版: (2019)

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

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
由: Tasnim, Anika, et al.
出版: (2022)

Public vehicle ETA system using machine learning
由: Kabir, Md. Miraz, et al.
出版: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
由: Choudhury, Ahnaf Atef, et al.
出版: (2019)

A comparative study of deep learning methods for automating road condition characterization
由: Ruhi, Zurana Mehrin, et al.
出版: (2021)

Flight fare prediction using machine learning
由: Noyon, Md. Shaim Hosan, et al.
出版: (2024)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
由: Bhattacharjee, Ruposri, et al.
出版: (2024)

Analysis of the impact of online education using EEG signals and machine learning algorithms
由: Hoque, Ehsanul, et al.
出版: (2021)

Alumni opportunities using machine learning
由: Siaum, Arshif Sharlimin, et al.
出版: (2019)

Machine learning as an indicator for breast cancer prediction
由: Shadman, Tahsin Mohammed, et al.
出版: (2019)

Analysis of malware prediction based on infection rate using machine learning techniques
由: Zawad, Safir, et al.
出版: (2020)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
由: Toufique, S.M, et al.
出版: (2024)

A machine learning approach to predict young voter enthusiasm based on non-political factors
由: Rahman, Md. Nowroz Junaed, et al.
出版: (2021)

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

Observing mega cities to grow from space and predicting its growth using machine learning techniques
由: Chakma, Mitesh, et al.
出版: (2018)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
由: Alhossen, Md., et al.
出版: (2021)

A study of malware classification using deep learning
由: Rahman, Mohammad Muhibur, et al.
出版: (2024)

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

A machine learning approach to detect depression and anxiety using supervised learning
由: Ullas, Md Tahmidur Rahman, et al.
出版: (2019)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
由: Islam, Roman, et al.
出版: (2024)

Bank loan prediction using machine learning
由: Mahottam, Parthosarothi, et al.
出版: (2023)

Detection of acute Lymphocytic Leukemia (ALL) and its type by image processing and machine learning
由: Chowdhury, Himadri, et al.
出版: (2019)

Predicting climate induced floods using machine learning
由: Saleh, Chowdhury Nafis, et al.
出版: (2022)

Crop prediction based on geographical and climatic data using machine learning and deep learning
由: Alif, Al Amin, et al.
出版: (2019)

Application of machine learning in credit risk assessment: a prelude to smart banking
由: Dhruba, Mir Ishrak Maheer, et al.
出版: (2019)

The influence of neuromarketing: machine learning based empirical analysis
由: Muktadir, MD. Abdullah Al, et al.
出版: (2024)

Malware detection in blockchain using CNN
由: Alam, Afreen, et al.
出版: (2021)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
由: Fahim, Kaji Mehedi Hasan, et al.
出版: (2024)

A Study of gainful employment of learners receiving skills training in the informal sector using Machine Learning
由: Raizan, Syed Ahsan, et al.
出版: (2021)