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Malware detection is a growing problem particularly on the Android mobile platform due to its increasing popularity and accessibility to numerous third party app markets. This has also been made worse by the increasingly sophisticated…

Cryptography and Security · Computer Science 2016-07-28 BooJoong Kang , Suleiman Y. Yerima , Kieran McLaughlin , Sakir Sezer

Android malware is one of the most dangerous threats on the internet, and it's been on the rise for several years. Despite significant efforts in detecting and classifying android malware from innocuous android applications, there is still…

Cryptography and Security · Computer Science 2021-07-06 Ahmed Hashem El Fiky , Ayman El Shenawy , Mohamed Ashraf Madkour

The battle to mitigate Android malware has become more critical with the emergence of new strains incorporating increasingly sophisticated evasion techniques, in turn necessitating more advanced detection capabilities. Hence, in this paper…

Cryptography and Security · Computer Science 2016-07-28 Suleiman Y. Yerima , Sakir Sezer , Igor Muttik

Android is the predominant mobile operating system for the past few years. The prevalence of devices that can be powered by Android magnetized not merely application developers but also malware developers with criminal intention to design…

Cryptography and Security · Computer Science 2018-12-27 Abdelmonim Naway , Yuancheng LI

While the rapid adaptation of mobile devices changes our daily life more conveniently, the threat derived from malware is also increased. There are lots of research to detect malware to protect mobile devices, but most of them adopt only…

Cryptography and Security · Computer Science 2019-06-25 Hye Min Kim , Hyun Min Song , Jae Woo Seo , Huy Kang Kim

With the development in the field of smartphones and ever growing base of Internet, various softwares are left prone to many malicious activities like pharming, phishing, ransomware, spam, spoofing, spyware, eavesdropping, etc. These…

Cryptography and Security · Computer Science 2019-12-30 Soumya Sourav , Devashish Khulbe , Naman Kapoor

Since Google unveiled Android OS for smartphones, malware are thriving with 3Vs, i.e. volume, velocity, and variety. A recent report indicates that one out of every five business/industry mobile application leaks sensitive personal data.…

Cryptography and Security · Computer Science 2021-03-02 Hemant Rathore , Sanjay K. Sahay , Ritvik Rajvanshi , Mohit Sewak

This paper introduces a malware detection system for smartphones based on studying the dynamic behavior of suspicious applications. The main goal is to prevent the installation of the malicious software on the victim systems. The approach…

Cryptography and Security · Computer Science 2024-02-07 Jorge Maestre Vidal , Marco Antonio Sotelo Monge , Luis Javier García Villalba

Mobile malware has been growing in scale and complexity spurred by the unabated uptake of smartphones worldwide. Android is fast becoming the most popular mobile platform resulting in sharp increase in malware targeting the platform.…

Cryptography and Security · Computer Science 2016-08-23 Suleiman Y. Yerima , Sakir Sezer , Gavin McWilliams

Web access today occurs predominantly through mobile devices, with Android representing a significant share of the mobile device market. This widespread usage makes Android a prime target for malicious attacks. Despite efforts to combat…

Cryptography and Security · Computer Science 2025-03-25 Nishavi Ranaweera , Jiarui Xu , Suranga Seneviratne , Aruna Seneviratne

Android malware detection is a significat problem that affects billions of users using millions of Android applications (apps) in existing markets. This paper proposes PetaDroid, a framework for accurate Android malware detection and family…

Cryptography and Security · Computer Science 2021-05-31 ElMouatez Billah Karbab , Mourad Debbabi

Machine-learning models have been recently used for detecting malicious Android applications, reporting impressive performances on benchmark datasets, even when trained only on features statically extracted from the application, such as…

Machine Learning · Computer Science 2018-10-30 Marco Melis , Davide Maiorca , Battista Biggio , Giorgio Giacinto , Fabio Roli

The rapid evolution of Android malware poses significant challenges to the maintenance and security of mobile applications (apps). Traditional detection techniques often struggle to keep pace with emerging malware variants that employ…

Cryptography and Security · Computer Science 2025-08-26 Tiezhu Sun , Marco Alecci , Aleksandr Pilgun , Yewei Song , Xunzhu Tang , Jordan Samhi , Tegawendé F. Bissyandé , Jacques Klein

In this paper, we present a comparative analysis of benign and malicious Android applications, based on static features. In particular, we focus our attention on the permissions requested by an application. We consider both binary…

Cryptography and Security · Computer Science 2019-04-02 Neeraj Chavan , Fabio Di Troia , Mark Stamp

Smartphones have become an intrinsic part of human's life. The smartphone unifies diverse advanced characteristics. It enables users to store various data such as photos, health data, credential bank data, and personal information. The…

Cryptography and Security · Computer Science 2019-01-23 Abdelmonim Naway , Yuancheng Li

Mobile malware has been growing in scale and complexity as smartphone usage continues to rise. Android has surpassed other mobile platforms as the most popular whilst also witnessing a dramatic increase in malware targeting the platform. A…

Cryptography and Security · Computer Science 2016-08-03 Suleiman Y. Yerima , Sakir Sezer , Gavin McWilliams , Igor Muttik

The existing malware classification approaches (i.e., binary and family classification) can barely benefit subsequent analysis with their outputs. Even the family classification approaches suffer from lacking a formal naming standard and an…

Cryptography and Security · Computer Science 2024-10-10 Qijing Qiao , Ruitao Feng , Sen Chen , Fei Zhang , Xiaohong Li

Android Malware has emerged as a consequence of the increasing popularity of smartphones and tablets. While most previous work focuses on inherent characteristics of Android apps to detect malware, this study analyses indirect features and…

Cryptography and Security · Computer Science 2017-12-13 Ignacio Martín , José Alberto Hernández , Alfonso Muñoz , Antonio Guzmán

Android OS experiences a blazing popularity since the last few years. This predominant platform has established itself not only in the mobile world but also in the Internet of Things (IoT) devices. This popularity, however, comes at the…

Cryptography and Security · Computer Science 2017-12-27 ElMouatez Billah Karbab , Mourad Debbabi , Abdelouahid Derhab , Djedjiga Mouheb

In the digitized world, smartphones and their apps play an important role. To name just a few examples, some apps offer possibilities for entertainment, others for online banking, and others offer support for two-factor authentication.…

Cryptography and Security · Computer Science 2023-07-18 Alexander Hefter , Christoph Sendner , Alexandra Dmitrienko