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A machine learning technique for Android malicious attacks detection based on API calls [PDF]

Decision Science Letters
Android malware is widespread and it is considered as one of the most threatening attacks recently. The threat is targeting to damage access data or information or leaking them; in general, malicious software consists of viruses, worms, and ...
Mousa AL-Akhras, Saud Alghamdi, Hani Omar, Hazzaa Alshareef   +3 more
doaj   +1 more source

Continuous Learning for Android Malware Detection

CoRR, 2023
Machine learning methods can detect Android malware with very high accuracy. However, these classifiers have an Achilles heel, concept drift: they rapidly become out of date and ineffective, due to the evolution of malware apps and benign apps. Our research finds that, after training an Android malware classifier on one year's worth of data, the F1 ...
Yizheng Chen 0001, Zhoujie Ding, David A. Wagner 0001   +2 more
openaire   +3 more sources

Improved chimp optimization algorithm (ICOA) feature selection and deep neural network framework for internet of things (IOT) based android malware detection

Measurement: Sensors, 2023
Internet of Things (IoT) is extensively implemented using Android applications thus detecting malicious Android apps is necessary. Malicious has been multiplying fast as a result of the growing usage of smartphones.
Tirumala Vasu G, Samreen Fiza, ATA. Kishore Kumar, V. Sowmya Devi, Ch Niranjan Kumar, Afreen Kubra   +5 more
doaj   +1 more source

vinayakumarr/Android-Malware-Detection v1

, 2019
Android malware detection using static and dynamic ...
Vinayakumar R
core   +1 more source

A review : Static analysis of android malware and detection technique

, 2021
Android malware has become more widespread in recent years due to the growing popularity of Android mobile. Android malware is installed without the user’s consent on a mobile device and exhibits significant risks to users, including personal information
Mohd Faizal, Ab Razak, Sharfah Ratibah, Tuan Mat, Ahmad Firdaus, Zainal Abidin, Juliza, Mohamad Arif, Suryanti, Awang, Nor Syahidatul Nadiah, Ismail   +5 more
core   +1 more source

Intelligent Approach for Android Malware Detection

KSII Transactions on Internet and Information Systems, 2015
As the Android operating system has become a key target for malware authors, Android protection has become a thriving research area. Beside the proved importance of system permissions for malware analysis, there is a lot of overlapping in permissions between malware apps and goodware apps.
Shubair Abdulla, Altyeb Altaher Altyeb
openaire   +1 more source

Malware Detection In Android Using Machine Learning [PDF]

, 2023
In an era that is increasingly fast with advanced technology, smartphones are a priority and a necessity for everyone. These gadgets are developing every day towards more advanced and appropriate ways of use.
Muhammad Hazriq Akmal, Zairol
core  

Machine Learning Malware Detection For Android [PDF]

, 2022
During this past year up until now, the total of malware that targets the Android operating system has increased compared to other operating systems. Therefore, an application that used the android operating system must be analyzed to detect the malware ...
Amir Muhammad Hafiz, Othman
core  

DroidDetectMW: A Hybrid Intelligent Model for Android Malware Detection

Applied Sciences, 2023
Malicious apps specifically aimed at the Android platform have increased in tandem with the proliferation of mobile devices. Malware is now so carefully written that it is difficult to detect.
Fatma Taher, Omar AlFandi, Mousa Al-kfairy, Hussam Al Hamadi, Saed Alrabaee   +4 more
doaj   +1 more source

REVISITING AND BOOSTING STATE-OF-THE-ART ML-BASED ANDROID MALWARE DETECTORS

, 2023
Android offers plenty of services to mobile users and has gained significant popularity worldwide. The success of Android has resulted in attracting more mobile users but also malware authors.
DAOUDI, Nadia
core