Cover Image

Memory Forensics-Based Malware Detection Using Computer Vision and Machine Learning

Malware has recently grown exponentially in recent years and poses a serious threat to individual users, corporations, banks, and government agencies. This can be seen from the growth of Advanced Persistent Threats (APTs) that make use of advance and sophisticated malware. With the wide availability...

Full description

Saved in:

Bibliographic Details
Main Authors:	Shah S.S.H., Ahmad A.R., Jamil N., Khan A.U.R.
Other Authors:	57878344500
Format:	Article
Published:	MDPI 2023
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Memory Visualization-Based Malware Detection Technique
by: Shah S.S.H., et al.
Published: (2023)

Performance comparison of visualization-based malware detection and classification techniques
by: Shah S.S.H., et al.
Published: (2023)

Malware detection through machine learning techniques
by: Amer, Ahmed, et al.
Published: (2019)

Metamorphic malware detection using machine learning
by: Ahmed Ali, Mohammed Hasan Ali
Published: (2020)

Detecting Malware with Classification Machine Learning Techniques
by: Mohd Yusof, Mohd Azahari, et al.
Published: (2023)

Detecting Malware with Classification Machine Learning Techniques
by: Mohd Yusof, Mohd Azahari, et al.
Published: (2023)

Feature selection and machine learning classification for malware detection
by: Khammas, Ban Mohammed, et al.
Published: (2015)

Malware detection system using cloud sandbox, machine learning
by: Mail, Mohd Azuwan Efendy, et al.
Published: (2022)

Permissions-based detection of android malware using machine learning
by: Akbar, Fahad, et al.
Published: (2022)

Empirical study on intelligent android malware detection based on supervised machine learning
by: Abdullah, Talal A.A., et al.
Published: (2020)

BFEDroid: A Feature Selection Technique to Detect Malware in Android Apps Using Machine Learning
by: Chimeleze C., et al.
Published: (2023)

Machine Learning Algorithm for Malware Detection: Taxonomy, Current Challenges, and Future Directions
by: Gorment N.Z., et al.
Published: (2024)

Malware forensic analytics framework using big data platform
by: Chuprat, S., et al.
Published: (2019)

Metamorphic malware detection based on support vector machine classification of malware sub-signatures
by: Khammas, Ban Mohammed, et al.
Published: (2016)

Malware visualizer: A web apps malware family classification with machine learning
by: Mohd Zamri, Osman, et al.
Published: (2021)

Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection
by: Akintola, A.G., et al.
Published: (2022)

Machine learning algorithm for malware detection: taxonomy, current challenges, and future directions.
by: Gorment, Nor Zakiah, et al.
Published: (2023)

Investigation of bypassing malware defences and malware detections
by: Daryabar, Farid, et al.
Published: (2011)

Malware Detection Using Deep Learning and Correlation-Based Feature Selection
by: Alomari E.S., et al.
Published: (2024)

Workspace Ergonomics and Posture Effectiveness Detection using Computer Vision with Machine Learning Approach
by: Faizal Hisham, Muhammad Haris Fahmi
Published: (2022)

Comparison of detection model using machine learning on android malware / Muhammad Ikmal Ihsan
by: Ihsan, Muhammad Ikmal
Published: (2022)

Comparing malware attack detection using machine learning techniques in iot network traffic.
by: Yee, Zi Wei, et al.
Published: (2023)

A score based malware classification approach for mobile forensic analysis
by: Gobi, Ramyaa
Published: (2019)

A Recent Research on Malware Detection Using Machine Learning Algorithm: Current Challenges and Future Works
by: Gorment N.Z., et al.
Published: (2023)

Evaluating the effectiveness of machine learning and computer vision techniques for the early detection of maize plant disease
by: Njazi, Shaun Tatenda, et al.
Published: (2023)

A comprehensive review of vehicle detection using computer vision
by: Abbas, A. F., et al.
Published: (2021)

Polymorphic malware detection based on dynamic analysis and supervised machine learning / Nur Syuhada Selamat
by: Selamat, Nur Syuhada
Published: (2021)

Android mobile malware detection model based on permission features using machine learning approach
by: Sharfah Ratibah, Tuan Mat
Published: (2022)

Comparison of malware detection model using supervised machine learning algorithms / Syamir Mohd Shahirudin
by: Mohd Shahirudin, Syamir
Published: (2022)

Human Fall Detection with Computer Vision and Deep Learning
by: Muhammad Abid bin Amer
Published: (2023)

Obfuscated Malware Detection: Impacts on Detection Methods
by: Gorment N.Z., et al.
Published: (2024)

Study of machine learning in computer vision using Raspberry Pi
by: Chong, Kah Luo
Published: (2024)

Investigation of malware redline stealer using static and dynamic analysis method forensic
by: Widiyasono, Nur, et al.
Published: (2025)

Graph-based simulated annealingand support vector machine in malware detection
by: Sirageldin, Abubakr, et al.
Published: (2011)

An improved malware detection framework
by: Aswami Fadillah, Ahmad Naim Irfan
Published: (2020)

A recent research on malware detection using machine learning algorithm: Current challenges and future works
by: Gorment, Nor Zakiah, et al.
Published: (2021)

Comparison of supervised machine learning algorithms for malware detection / Mohd Faris Mohd Fuzi ... [et al.]
by: Mohd Fuzi, Mohd Faris, et al.
Published: (2023)

A deep Learning Approach to Malware detection in android platform
by: Corrine, Francis
Published: (2018)

A Deep Learning Approach to Malware Detection in Android Platform
by: Abdulrazak Yahya, Saleh, et al.
Published: (2019)

Convolutional neural network model in machine learning methods and computer vision for image recognition: a review
by: R. M. Q. R., Jaapar, et al.
Published: (2018)