Results 21 to 30 of about 1,195 (175)

Forensic Analysis of Hook Android Malware

Forensic Science International: Digital Investigation, 2023
This publication presents a thorough forensic investigation of the banking malware known as Hook, shedding light on its intricate functionalities and providing valuable insights into the broader realm of banking malware. Given the persistent evolution of Android malware, particularly in the context of banking threats, this research explores the ongoing
Dominic Schmutz, Robin Rapp, Benjamin Fehrensen   +2 more
openaire   +1 more source

Trends in Android Malware Detection

Journal of Digital Forensics, Security and Law, 2013
This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and
Kaveh Shaerpour, Ali Dehghantanha, Ramlan Mahmod   +2 more
openaire   +3 more sources

A Comprehensive Review of Android Malware Detection Techniques [PDF]

E3S Web of Conferences
The Android malware is at peak with overwhelming ubiquity of the Android Operating Systems. Malware creators have been using and devising different novel strategies to build Android apps that are malicious that are capable of creating severe damages to ...
Singh Divyanshu, Kaur Harpreet, Sajid Shayan, Sagar Gaja   +3 more
doaj   +1 more source

Monitoring Real Android Malware [PDF]

, 2015
In the most comprehensive study on Android attacks so far (undertaken by the Android Malware Genome Project), the behaviour of more than 1, 200 malwares was analysed and categorised into common, recurring groups of attacks. Based on this work (and the corresponding actual malware files), we present an approach for specifying and identifying these (and ...
Jan-Christoph Küster, Andreas Bauer 0002   +1 more
openaire   +1 more source

MADLIRA: A Tool for Android Malware Detection

Proceedings of the 7th International Conference on Information Systems Security and Privacy, 2021
Today, there are more threats to Android users since malware writers are changing their target to explore the weakness of Android devices, in order to generate malicious behaviors. Thus, detecting Android malwares is becoming crucial. We present in this paper a tool, called MADLIRA (MAlware Detection using Learning and Information Retrieval for Android)
Khanh-Huu-The Dam, Tayssir Touili
openaire   +2 more sources

A Comparative Analysis of Android Malware

Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019
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 classification of malware versus benign, as well as the multiclass problem, where we classify malware samples into their ...
Neeraj Chavan, Fabio Di Troia, Mark Stamp 0001   +2 more
openaire   +2 more sources

A comprehensive review of Android malware: trends, behaviors, taxonomies, and future direction [PDF]

PeerJ Computer Science
The increasing prevalence of malicious applications targeting the Android operating system has intensified security challenges in recent years. As Android’s popularity continues to grow, it not only attracts users but also becomes a prime target for ...
Collins Uchenna Chimeleze, Mohammed A. Al-Sharafi, Norziana Jamil   +2 more
doaj   +2 more sources

PACER: Platform for Android Malware Classification, Performance Evaluation and Threat Reporting

Future Internet, 2020
Android malware has become the topmost threat for the ubiquitous and useful Android ecosystem. Multiple solutions leveraging big data and machine-learning capabilities to detect Android malware are being constantly developed.
Ajit Kumar, Vinti Agarwal, Shishir Kumar Shandilya, Andrii Shalaginov, Saket Upadhyay, Bhawna Yadav   +5 more
doaj   +1 more source

GPFinder: Tracking the invisible in Android malware [PDF]

2017 12th International Conference on Malicious and Unwanted Software (MALWARE), 2017
Malicious Android applications use clever techniques to hide their real intents from the user and avoid detection by security tools. They resort to code obfuscation and dynamic loading, or wait for special events on the system like reboot or WiFi activation.
Leslous, Mourad, Viet Triem Tong, Valérie, Lalande, Jean-François, Genet, Thomas   +3 more
openaire   +2 more sources

A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning

IEEE Access, 2022
The computers nowadays are being replaced by the smartphones for the most of the internet users around the world, and Android is getting the most of the smartphone systems’ market.
Mulhem Ibrahim, Bayan Issa, Muhammed Basheer Jasser   +2 more
doaj   +1 more source