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Combat Mobile Evasive Malware via Skip-Gram-Based Malware Detection [PDF]

open access: yesSecurity and Communication Networks, 2020
Android malware detection is an important research topic in the security area. There are a variety of existing malware detection models based on static and dynamic malware analysis. However, most of these models are not very successful when it comes to evasive malware detection.
Alper Egitmen   +5 more
openaire   +2 more sources

A Review of the Recent Trends in Mobile Malware Evolution, Detection, and Analysis

open access: yesIEEE Access
The rapid rise of smartphones and mobile applications has fostered an environment conducive to the advancement of mobile malware, presenting considerable obstacles for both detection and mitigation efforts.
Seetah Almarri   +2 more
doaj   +1 more source

A Monte Carlo method for the spread of mobile malware [PDF]

open access: yes, 2015
A new model for the spread of mobile malware based on proximity (i.e. Bluetooth, ad-hoc WiFi or NFC) is introduced. The spread of malware is analyzed using a Monte Carlo method and the results of the simulation are compared with those from mean field ...
Berretti, Alberto, Ciccarone, Simone
core  

A static analysis approach for Android permission-based malware detection systems.

open access: yesPLoS ONE, 2021
The evolution of malware is causing mobile devices to crash with increasing frequency. Therefore, adequate security evaluations that detect Android malware are crucial.
Juliza Mohamad Arif   +5 more
doaj   +1 more source

A Hybrid Approach for Android Malware Detection and Family Classification.

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence, 2021
With the increase in the popularity of mobile devices, malicious applications targeting Android platform have greatly increased. Malware is coded so prudently that it has become very complicated to identify.
Meghna Dhalaria, Ekta Gandotra
doaj   +1 more source

PlaceRaider: Virtual Theft in Physical Spaces with Smartphones [PDF]

open access: yes, 2012
As smartphones become more pervasive, they are increasingly targeted by malware. At the same time, each new generation of smartphone features increasingly powerful onboard sensor suites.
Crandall, David   +3 more
core  

ConXsense - Automated Context Classification for Context-Aware Access Control

open access: yes, 2014
We present ConXsense, the first framework for context-aware access control on mobile devices based on context classification. Previous context-aware access control systems often require users to laboriously specify detailed policies or they rely on pre ...
Alan B.   +16 more
core   +1 more source

A Review of State-of-the-Art Malware Attack Trends and Defense Mechanisms

open access: yesIEEE Access, 2023
The increasing sophistication of malware threats has led to growing concerns in the anti-malware community, as malware poses a significant danger to online users despite the availability of numerous defense solutions.
Jannatul Ferdous   +3 more
doaj   +1 more source

Procedures and tools for acquisition and analysis of volatile memory on android smartphones [PDF]

open access: yes, 2014
Mobile phone forensics have become more prominent since mobile phones have become ubiquitous both for personal and business practice. Android smartphones show tremendous growth in the global market share.
Heriyanto, Andri P
core   +1 more source

Review of Mobile Malware Forensic

open access: yesThe Journal of International Scientific Researches, 2019
Developments in the world of information technology have brought security needs, ethical and social responsibilities, risks and inconveniences. The dramatic increase and spread of smartphone usage, especially in line with advances in mobile technology, has led to an increase in IT crimes committed on smartphones.
Ahmet Efe, Ayşe Nur Dalmış
openaire   +2 more sources

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