Results 31 to 40 of about 4,196 (220)

Malware en Android y medidas de prevención

, 2023
Tesis previo a la obtención del título de Ingeniero de Sistemas y Computaciónxix RESUMEN Se realiza un estudio acerca de los malware en la plataforma Android, dicho tema ha llevado a los desarrolladores de software de la empresa Google a reflexionar ...
Vivas Pincay, Carlos Francisco
core   +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

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

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

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

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

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

FAM: Featuring Android Malware for Deep Learning-Based Familial Analysis

IEEE Access, 2022
To handle relentlessly emerging Android malware, deep learning has been widely adopted in the research community. Prior work proposed deep learning-based approaches that use different features of malware, and reported a high accuracy in malware detection,
Younghoon Ban, Sunjun Lee, Dokyung Song, Haehyun Cho, Jeong Hyun Yi   +4 more
doaj   +1 more source

A Malware Evasion Technique for Auditing Android Anti-Malware Solutions [PDF]

, 2021
In the past few years, Android security is enhanced and state-of-the-art anti-malware tools have been introduced to counter Android malware. These tools use both static and dynamic analysis techniques to detect malicious applications.
Z. Iqbal, Haider Abbas, H. Abbas, Zia Muhammad, M. Fugini, Narmeen Shafqat, Mariagrazia Fugini, S. Mirzax, W. B. Shahid, Samrah Mirza, ZMuhammad, N. Shafqat, Waleed Bin Shahid, Zafar Iqbal   +13 more
core   +1 more source

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

IEEE 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, Munya A. Arasi, Majdi Khalid, Sumayh S. Aljameel, Radwa Marzouk, Heba Mohsen, Ishfaq Yaseen, Sara Saadeldeen Ibrahim   +7 more
doaj   +1 more source