Android mobile malware detection system using fuzzy AHP
This research proposed a multi-criteria decision making based (MCDM) mobile malware detection system using a risk-based fuzzy analytical hierarchy process (AHP) approach to evaluate the Android mobile application. This study focuses on static analysis, that uses permission-based features to assess t...
| Main Authors: | Juliza, Mohamad Arif, Mohd Faizal, Ab Razak, Sharfah Ratibah, Tuan Mat |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2021
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/34507/ http://umpir.ump.edu.my/id/eprint/34507/1/Android%20mobile%20malware%20detection%20system%20using%20fuzzy%20ahp.CITREX2021..pdf |
Similar Items
Android mobile malware detection using Fuzzy AHP
by: Juliza, Mohamad Arif, et al.
Published: (2021)
by: Juliza, Mohamad Arif, et al.
Published: (2021)
A Bayesian probability model for Android malware detection
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
Android mobile malware detection model based on permission features using machine learning approach
by: Sharfah Ratibah, Tuan Mat
Published: (2022)
by: Sharfah Ratibah, Tuan Mat
Published: (2022)
Applying Bayesian probability for Android malware detection using permission features
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
A review : Static analysis of android malware and detection technique
by: Juliza, Mohamad Arif, et al.
Published: (2021)
by: Juliza, Mohamad Arif, et al.
Published: (2021)
A static analysis approach for android permission-based malware detection systems
by: Juliza, Mohamad Arif, et al.
Published: (2021)
by: Juliza, Mohamad Arif, et al.
Published: (2021)
Fuzzy analytical hierarchy process based risk assessment for malware detection in android mobile system
by: Juliza, Mohamad Arif
Published: (2022)
by: Juliza, Mohamad Arif
Published: (2022)
Android: S-Based Technique in Mobile Malware Detection
by: Rahiwan Nazar, Romli, et al.
Published: (2018)
by: Rahiwan Nazar, Romli, et al.
Published: (2018)
Towards a systematic description of the field using bibliometric analysis: malware evolution
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
Android malware detection using PMCC heatmap and Fuzzy Unordered Rule Induction Algorithm (FURIA)
by: Nur Khairani, Kamarudin, et al.
Published: (2023)
by: Nur Khairani, Kamarudin, et al.
Published: (2023)
Machine Learning Malware Detection For Android
by: Amir Muhammad Hafiz, Othman
Published: (2022)
by: Amir Muhammad Hafiz, Othman
Published: (2022)
Malware Detection In Android Using Machine Learning
by: Muhammad Hazriq Akmal, Zairol
Published: (2023)
by: Muhammad Hazriq Akmal, Zairol
Published: (2023)
Techniques for analysing android malware
by: Adebayo, Olawale Surajudeen, et al.
Published: (2014)
by: Adebayo, Olawale Surajudeen, et al.
Published: (2014)
Understanding the root of attack in android malware
by: Rahiwan Nazar, Romli, et al.
Published: (2018)
by: Rahiwan Nazar, Romli, et al.
Published: (2018)
Discovering optimal features using static analysis and a genetic search based method for Android malware detection
by: Ahmad Firdaus, Zainal Abidin, et al.
Published: (2018)
by: Ahmad Firdaus, Zainal Abidin, et al.
Published: (2018)
Malware detection using static analysis in android: A review of FeCO (features, classification, and obfuscation)
by: Rosmalissa, Jusoh, et al.
Published: (2021)
by: Rosmalissa, Jusoh, et al.
Published: (2021)
Automated feature selection using boruta algorithm to detect mobile malware
by: Che Akmal, Che Yahaya, et al.
Published: (2020)
by: Che Akmal, Che Yahaya, et al.
Published: (2020)
The trend of mobile malwares and effective detection techniques
by: Abdul Aziz, Normaziah, et al.
Published: (2015)
by: Abdul Aziz, Normaziah, et al.
Published: (2015)
Permission extraction framework for android malware detection
by: Ghasempour, Ali
Published: (2019)
by: Ghasempour, Ali
Published: (2019)
Android malware detection with ensemble of androidmanifest features
by: Mohammad Salehi, .
Published: (2019)
by: Mohammad Salehi, .
Published: (2019)
A malware risk analysis and detection system for mobile devices using permission-based features / Mohd Faizal Ab Razak
by: Mohd Faizal , Ab Razak
Published: (2018)
by: Mohd Faizal , Ab Razak
Published: (2018)
Bio-inspired for Features Optimization and Malware Detection
by: Mohd Faizal, Ab Razak, et al.
Published: (2018)
by: Mohd Faizal, Ab Razak, et al.
Published: (2018)
The Rise of “malware”: Bibliometric Analysis of Malware Study
by: Mohd Faizal, Ab Razak, et al.
Published: (2016)
by: Mohd Faizal, Ab Razak, et al.
Published: (2016)
Malware detection system using cloud sandbox, machine learning
by: Mail, Mohd Azuwan Efendy, et al.
Published: (2022)
by: Mail, Mohd Azuwan Efendy, et al.
Published: (2022)
CAGDEEP : Mobile malware analysis using force atlas 2 with strong gravity call graph and deep learning
by: Nur Khairani, Kamarudin, et al.
Published: (2023)
by: Nur Khairani, Kamarudin, et al.
Published: (2023)
Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF)
by: Mazlan, Nurul Hidayah
Published: (2019)
by: Mazlan, Nurul Hidayah
Published: (2019)
Features, Analysis Techniques, and Detection Methods of Cryptojacking Malware: A Survey
by: Kadhum, Laith M., et al.
Published: (2024)
by: Kadhum, Laith M., et al.
Published: (2024)
A behaviour-based analytical malware detection framework for android smartphones
by: Damshenas, Mohsen
Published: (2014)
by: Damshenas, Mohsen
Published: (2014)
Android Malware classification using static code analysis and Apriori algorithm improved with particle swarm optimization
by: Adebayo, Olawale Surajudeen, et al.
Published: (2014)
by: Adebayo, Olawale Surajudeen, et al.
Published: (2014)
A malware analysis and detection system for mobile devices / Ali Feizollah
by: Ali, Feizollah
Published: (2017)
by: Ali, Feizollah
Published: (2017)
Malware detection through machine learning techniques
by: Amer, Ahmed, et al.
Published: (2019)
by: Amer, Ahmed, et al.
Published: (2019)
Malware visualizer: A web apps malware family classification with machine learning
by: Mohd Zamri, Osman, et al.
Published: (2021)
by: Mohd Zamri, Osman, et al.
Published: (2021)
Bio-Inspired Computational Paradigm for Feature Investigation and Malware Detection: Interactive Analytics
by: Ahmad, Firdaus, et al.
Published: (2017)
by: Ahmad, Firdaus, et al.
Published: (2017)
Towards a systematic description of the feld using bibliometric analysis
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021)
by: Sharfah Ratibah, Tuan Mat, 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)
by: Hussain, Syed Shuja, et al.
Published: (2023)
Evaluation of feature selection algorithm for android malware detection
by: Mazlan, Nurul Hidayah, et al.
Published: (2018)
by: Mazlan, Nurul Hidayah, et al.
Published: (2018)
Dawn Of The Mobile Malware: Reviewing Mobile Worms .
by: Sarwar, Usman, et al.
Published: (2007)
by: Sarwar, Usman, et al.
Published: (2007)
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)
by: Adebayo, Olawale Surajudeen, et al.
Published: (2015)
Malaysia Blood Bank Android Mobile Application
by: Lim, Yi Ci
Published: (2023)
by: Lim, Yi Ci
Published: (2023)
Ensemble based categorization and adaptive model for malware detection
by: Ahmad Zabidi, Muhammad Najmi, et al.
Published: (2011)
by: Ahmad Zabidi, Muhammad Najmi, et al.
Published: (2011)
Similar Items
-
Android mobile malware detection using Fuzzy AHP
by: Juliza, Mohamad Arif, et al.
Published: (2021) -
A Bayesian probability model for Android malware detection
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021) -
Android mobile malware detection model based on permission features using machine learning approach
by: Sharfah Ratibah, Tuan Mat
Published: (2022) -
Applying Bayesian probability for Android malware detection using permission features
by: Sharfah Ratibah, Tuan Mat, et al.
Published: (2021) -
A review : Static analysis of android malware and detection technique
by: Juliza, Mohamad Arif, et al.
Published: (2021)