Maldroid- attribute selection analysis for malware classification

QR Code

Maldroid- attribute selection analysis for malware classification

Android is the most dominant operating system in the mobile market and the number of Android users is increasing year by year. Malware authors use android market as a hub for malicious apps and spread malware to users with the intention to threaten privacy; and this has remained undetected due to th...

Full description

Bibliographic Details
Main Authors:	Rahiwan Nazar, Romli, Mohamad Fadli, Zolkipli, Mohd Zamri, Osman
Format:	Article
Language:	English
Published:	JATIT 2019
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/38094/ http://umpir.ump.edu.my/id/eprint/38094/1/Maldroid-%20attribute%20selection%20analysis%20for%20malware%20classification.pdf

Similar Items

Efficient feature selection analysis for accuracy malware classification
by: Rahiwan Nazar, Romli, et al.
Published: (2021)

Android: S-Based Technique in Mobile Malware Detection
by: Rahiwan Nazar, Romli, et al.
Published: (2018)

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

Understanding the root of attack in android malware
by: Rahiwan Nazar, Romli, et al.
Published: (2018)

A framework for malware identification based on behavior
by: Mohamad Fadli, Zolkipli
Published: (2012)

The Rise of “malware”: Bibliometric Analysis of Malware Study
by: Mohd Faizal, Ab Razak, et al.
Published: (2016)

Malware Analysis with Multiple Features
by: Ahmad Zabidi, Muhammad Najmi, et al.
Published: (2012)

Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation)
by: Rosmalissa, Jusoh, et al.
Published: (2021)

Deep learning based hybrid analysis of malware detection and classification: A recent review
by: Hussain, Syed Shuja, et al.
Published: (2023)

Malware classification based on target location
by: Nasuha, Noor Baha
Published: (2014)

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

A review : Static analysis of android malware and detection technique
by: Juliza, Mohamad Arif, et al.
Published: (2021)

Android mobile malware detection using Fuzzy AHP
by: Juliza, Mohamad Arif, et al.
Published: (2021)

A malware analysis and detection system for mobile devices / Ali Feizollah
by: Ali, Feizollah
Published: (2017)

A static analysis approach for android permission-based malware detection systems
by: Juliza, Mohamad Arif, et al.
Published: (2021)

Study of graphical authentication system based on persuasive rotation, resizing and cued click point (GUAS)
by: Zolkipli, Mohamad Fadli
Published: (2014)

On soft partition attribute selection
by: Rabiei, Mamat, et al.
Published: (2012)

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

Malware detection using n-gram with TF-IDF weighting
by: Natasha, Zainal
Published: (2018)

Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF)
by: Mazlan, Nurul Hidayah
Published: (2019)

Review of firewall optimization techniques
by: Shakirah, Saidin, et al.
Published: (2018)

Bio-Inspired Computational Paradigm for Feature Investigation and Malware Detection: Interactive Analytics
by: Ahmad, Firdaus, et al.
Published: (2017)

Intrusion-Detection System Based on Fast Learning Network in Cloud Computing
by: Mohammed Hasan, Ali, et al.
Published: (2018)

Determining the best weightage feature in parameterization process of GCCD model for clone detection in C-based applications
by: Nurul Syafiqah, Zaidi, et al.
Published: (2023)

Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
by: Adebayo, Olawale Surajudeen, et al.
Published: (2014)

A Survey on Balancing Data Loss Prevention (DLP) with User Privacy in a Data-Driven World
by: Nurhafizah, Ahmad Zaini, et al.
Published: (2024)

A novel efficient substitution-box design based on firefly algorithm and discrete chaotic map
by: A. Ahmed, Hussam, et al.
Published: (2018)

A Study On AI-Driven Solutions for Cloud Security Platform
by: Menaga, Segar, et al.
Published: (2024)

Data Security Issues In Cloud Computing: Review
by: Ahmed, Hussam Alddin Shihab, et al.
Published: (2016)

Soft set approach for decision attribute selection in data clustering
by: Lok, Leh Leong
Published: (2013)

Gene subset selection for lung cancer classification using a multi-objective strategy
by: Mohamad, Mohd. Saberi, et al.
Published: (2008)

Automated feature selection using boruta algorithm to detect mobile malware
by: Che Akmal, Che Yahaya, et al.
Published: (2020)

Feature selection method based on sparse representation classification for face recognition
by: Boon, Yinn Xi *, et al.
Published: (2014)

The rise of deep learning in cyber security: Bibliometric analysis of deep learning and malware
by: Nur Khairani, Kamarudin, et al.
Published: (2024)

Assessing Website Usability Attributes
by: Nur Sukinah, Aziz, et al.
Published: (2014)

Cloud of Word vs DroidKungfu: Performance evaluation in detecting root exploit malware with deep learning approach
by: Che Akmal, Che Yahaya, et al.
Published: (2023)

A review of feature selection on text classification
by: Nur Syafiqah, Mohd Nafis, et al.
Published: (2018)

Static code analysis of permission-based features for android malware classification using apriori algorithm with particle swarm optimization
by: Adebayo, Olawale Surajudeen, et al.
Published: (2015)

Performance Comparison of Transmission Control Protocol and User Datagram Protocol over Wireless Networks
by: Mohammed Hasan, Ali, et al.
Published: (2015)

Design a Technique for Minimizing Unnecessary Handoff in Mobile Wireless Networks
by: Rahman, Md. Arafatur, et al.
Published: (2015)