Results 31 to 40 of about 20,533 (244)

Android Malware Characterization using Metadata and Machine Learning Techniques [PDF]

, 2017
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 meta-data to ...
Guzmán, Antonio, Hernández, José Alberto, Martín, Ignacio, Muñoz, Alfonso   +3 more
core   +2 more sources

A Hybrid Approach for Android Malware Detection and Family Classification.

International 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

Android Platform Malware Analysis [PDF]

International Journal of Advanced Computer Science and Applications, 2015
Mobile devices have evolved from simple devices, which are used for a phone call and SMS messages to smartphone devices that can run third party applications. Nowadays, malicious software, which is also known as malware, imposes a larger threat to these mobile devices.
Khalid Alfalqi, Rubayyi Alghamdi, Mofareh Waqdan   +2 more
openaire   +1 more source

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

KLASIFIKASI MALWARE ANDROID DENGAN MENGGUNAKAN METODE CATBOOST ALGORITMA [PDF]

, 2023
In 2008, Android was introduced as a popular open source project due to its customizability and low hardware requirements. Mid-2021 statistics from GlobalStat Counter shows that Android dominates the mobile operating system market with 72.74%.
IRSYADUDDIN, YUSUF
core  

Deep Android Malware Detection [PDF]

Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy, 2017
In this paper, we propose a novel android malware detection system that uses a deep convolutional neural network (CNN). Malware classification is performed based on static analysis of the raw opcode sequence from a disassembled program. Features indicative of malware are automatically learned by the network from the raw opcode sequence thus removing ...
McLaughlin, Niall; id_orcid 0000-0002-0917-9145, Martinez del Rincon, Jesus; id_orcid 0000-0002-9574-4138, Kang, BooJoong, Yerima, Suleiman, Miller, Paul, Sezer, Sakir, Safaeisemnani, Yeganeh, Trickel, Erik, Zhao, Ziming, Doupé, Adam, Joon Ahn, Gail   +10 more
openaire   +4 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

Orchestrating Android Malware Experiments [PDF]

2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), 2019
Experimenting with Android malware requires to manipulate a large amount of samples and to chain multiple analyses. Scripting such a sequence of analyses on a large malware dataset becomes a challenge: the analysis has to handle fails on the computer and crashes on the used smartphone, in case of dynamic analyses.
Lalande, Jean-François, Graux, Pierre, Concepción Miranda, Tomás   +2 more
openaire   +2 more sources

Android Security: A Survey of Issues, Malware Penetration, and Defenses [PDF]

, 2014
Smartphones have become pervasive due to the availability of office applications, Internet, games, vehicle guidance using location-based services apart from conventional services such as voice calls, SMSes, and multimedia services.
Bharmal, A., Conti, M., Faruki, P., Ganmoor, V., Gaur, M. S., Laxmi, V., Rajarajan, M.   +6 more
core   +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