Results 21 to 30 of about 2,895 (224)

Smart malware detection on Android [PDF]

open access: yesSecurity and Communication Networks, 2015
AbstractNowadays, because of its increased popularity, Android is target to a growing number of attacks and malicious applications, with the purpose of stealing private information and consuming credit by subscribing to premium services. Most of the current commercial antivirus solutions use static signatures for malware detection, which may fail to ...
Laura Gheorghe   +6 more
openaire   +1 more source

Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection

open access: yesApplied Sciences, 2022
As a result of the rapid advancement of mobile and internet technology, a plethora of new mobile security risks has recently emerged. Many techniques have been developed to address the risks associated with Android malware.
Abimbola G. Akintola   +9 more
doaj   +1 more source

Guided Retraining to Enhance the Detection of Difficult Android Malware [PDF]

open access: yes, 2023
peer reviewedThe popularity of Android OS has made it an appealing target for malware developers. To evade detection, including by ML-based techniques, attackers invest in creating malware that closely resemble legitimate apps, challenging the state of ...
Allix, Kevin   +3 more
core   +1 more source

Android malware category detection using a novel feature vector-based machine learning model

open access: yesCybersecurity, 2023
Malware attacks on the Android platform are rapidly increasing due to the high consumer adoption of Android smartphones. Advanced technologies have motivated cyber-criminals to actively create and disseminate a wide range of malware on Android ...
Hashida Haidros Rahima Manzil   +1 more
doaj   +1 more source

A Systematic Overview of Android Malware Detection [PDF]

open access: yesApplied Artificial Intelligence, 2021
Due to the completely open-source nature of Android, the exploitable vulnerability of malware attacks is increasing. To stay ahead of other similar review work attempting to deal with the serious security problem of the Android environment, this work not only summarizes the approaches in the malware classification phase but also lays emphasis on the ...
Meijin Li   +7 more
openaire   +2 more sources

A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks

open access: yesInformation, 2023
Android platform security is an active area of research where malware detection techniques continuously evolve to identify novel malware and improve the timely and accurate detection of existing malware.
Parvez Faruki   +5 more
doaj   +1 more source

Feature Importance in Android Malware Detection [PDF]

open access: yes2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2020
The topic of mobile malware detection on the Android platform has attracted significant attention over the last several years. However, while much research has been conducted toward mobile malware detection techniques, little attention has been devoted to feature selection and feature importance. That is, which app feature matters more when it comes to
Vasileios Kouliaridis   +2 more
openaire   +1 more source

Gauss-Mapping Black Widow Optimization With Deep Extreme Learning Machine for Android Malware Classification Model

open access: yesIEEE Access, 2023
Nowadays, the malware on the Android platform is found to be increasing. With the prevalent use of code obfuscation technology, the precision of antivirus software and classical detection techniques is low.
Ghadah Aldehim   +7 more
doaj   +1 more source

Android Fragmentation in Malware Detection

open access: yesComputers & Security, 2019
Abstract Differences between Android versions affect not only application developers but also make the task of securing Android harder, as it is not easy to keep track of updates. In this paper, we first systematically analyze the Android framework, which includes APIs and enforced manifest permissions to realize the inconsistency currently exists in
Long Nguyen-Vu, Jinung Ahn, Souhwan Jung
openaire   +1 more source

An Android Malicious Code Detection Method Based on Improved DCA Algorithm

open access: yesEntropy, 2017
Recently, Android malicious code has increased dramatically and the technology of reinforcement is increasingly powerful. Due to the development of code obfuscation and polymorphic deformation technology, the current Android malicious code static ...
Chundong Wang   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy