Understanding the root of attack in android malware
With the rapid pace of development and change in mobile device technology and Android versions, Android malware has emerged and become a focus in current research. Subsequently, security and privacy have become one of the main issues in android malware. Therefore, it is essential to understand the b...
| Main Authors: | Rahiwan Nazar, Romli, Mohamad Fadli, Zolkipli, Al-Ma’arif, Ahmad, Muhammed Ramiza, Ramli, Mohamad Aizi, Salamat |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTHM
2018
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/29740/ http://umpir.ump.edu.my/id/eprint/29740/1/Understanding%20the%20root%20of%20attack%20in%20android%20Malware.pdf |
Similar Items
Understanding the root of attack in android malware
by: Romli, Rahiwan Nazar, et al.
Published: (2018)
by: Romli, Rahiwan Nazar, et al.
Published: (2018)
Android: S-Based Technique in Mobile Malware Detection
by: Rahiwan Nazar, Romli, et al.
Published: (2018)
by: Rahiwan Nazar, Romli, et al.
Published: (2018)
Maldroid- attribute selection analysis for malware classification
by: Rahiwan Nazar, Romli, et al.
Published: (2019)
by: Rahiwan Nazar, Romli, et al.
Published: (2019)
Efficient feature selection analysis for accuracy malware classification
by: Rahiwan Nazar, Romli, et al.
Published: (2021)
by: Rahiwan Nazar, Romli, et al.
Published: (2021)
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)
A framework for malware identification based on behavior
by: Mohamad Fadli, Zolkipli
Published: (2012)
by: Mohamad Fadli, Zolkipli
Published: (2012)
Techniques for analysing android malware
by: Adebayo, Olawale Surajudeen, et al.
Published: (2014)
by: Adebayo, Olawale Surajudeen, et al.
Published: (2014)
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)
Machine Learning Malware Detection For Android
by: Amir Muhammad Hafiz, Othman
Published: (2022)
by: Amir Muhammad Hafiz, Othman
Published: (2022)
Android mobile malware detection using Fuzzy AHP
by: Juliza, Mohamad Arif, et al.
Published: (2021)
by: Juliza, Mohamad Arif, et al.
Published: (2021)
Android mobile malware detection system using fuzzy AHP
by: Juliza, Mohamad Arif, et al.
Published: (2021)
by: Juliza, Mohamad Arif, 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)
Malware Detection In Android Using Machine Learning
by: Muhammad Hazriq Akmal, Zairol
Published: (2023)
by: Muhammad Hazriq Akmal, Zairol
Published: (2023)
Android malware detection with ensemble of androidmanifest features
by: Mohammad Salehi, .
Published: (2019)
by: Mohammad Salehi, .
Published: (2019)
Permission extraction framework for android malware detection
by: Ghasempour, Ali
Published: (2019)
by: Ghasempour, Ali
Published: (2019)
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)
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)
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)
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)
A New Malware Attack Pattern Generalization
by: Yusof, R., et al.
Published: (2011)
by: Yusof, R., et al.
Published: (2011)
Android malware detection using permission based static analysis
by: Mohd Ariffin, Noor Afiza, et al.
Published: (2024)
by: Mohd Ariffin, Noor Afiza, et al.
Published: (2024)
Android malware detection using permission based static analysis
by: Mohd Ariffin, Noor Afiza, et al.
Published: (2023)
by: Mohd Ariffin, Noor Afiza, et al.
Published: (2023)
Android Botnets: A Serious Threat to Android Devices
by: Shahid, Anwar, et al.
Published: (2018)
by: Shahid, Anwar, et al.
Published: (2018)
A behaviour-based analytical malware detection framework for android smartphones
by: Damshenas, Mohsen
Published: (2014)
by: Damshenas, Mohsen
Published: (2014)
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)
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)
Detection of vulnerability attack through wireless network on android platform
by: Muhamad Izhan Fakri, Imran
Published: (2014)
by: Muhamad Izhan Fakri, Imran
Published: (2014)
Traceback Model for Identifying Sources of Distributed
Attacks in Real Time
by: Ahmed, Abdulghani Ali, et al.
Published: (2016)
by: Ahmed, Abdulghani Ali, et al.
Published: (2016)
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)
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)
Methods for Preventing DDoS Attacks in Cloud Computing
by: Jaber, Aws Naser, et al.
Published: (2017)
by: Jaber, Aws Naser, et al.
Published: (2017)
Detecting malware attack in mobile phone using Intrusion Detection and Prevention System (IDPS)
by: Leow, Yu Hong
Published: (2024)
by: Leow, Yu Hong
Published: (2024)
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)
Host Based Intrusion Detection and Prevention Model Against DDoS Attack in Cloud Computing
by: Jaber, Aws Naser, et al.
Published: (2018)
by: Jaber, Aws Naser, 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)
Investigation of bypassing malware defences and malware detections
by: Daryabar, Farid, et al.
Published: (2011)
by: Daryabar, Farid, et al.
Published: (2011)
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)
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)
Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method
by: Abdul Razak, Aina Nabila
Published: (2019)
by: Abdul Razak, Aina Nabila
Published: (2019)
Security Scheme for Protecting Cloud Computing Services Against Bursty DDoS Attacks
by: Mazlina, Abdul Majid, et al.
Published: (2015)
by: Mazlina, Abdul Majid, et al.
Published: (2015)
Similar Items
-
Understanding the root of attack in android malware
by: Romli, Rahiwan Nazar, et al.
Published: (2018) -
Android: S-Based Technique in Mobile Malware Detection
by: Rahiwan Nazar, Romli, et al.
Published: (2018) -
Maldroid- attribute selection analysis for malware classification
by: Rahiwan Nazar, Romli, et al.
Published: (2019) -
Efficient feature selection analysis for accuracy malware classification
by: Rahiwan Nazar, Romli, et al.
Published: (2021) -
Malware visualizer: A web apps malware family classification with machine learning
by: Mohd Zamri, Osman, et al.
Published: (2021)