Mobile malware anomaly-based detection systems using static analysis features/Ahmad Firdaus Zainal Abidin

ZA Ahmad Firdaus - 2017 - studentsrepo.um.edu.my
Presently, the rise of demand for Android gadget motivates the unscrupulous author to
develop malware to compromise mobile devices for malicious and private purposes. The …

Mobile Malware Anomaly-Based Detection Systems Using Static Analysis Features

AFZ Abidin - 2017 - search.proquest.com
Presently, the rise of demand for Android gadget motivates the unscrupulous author to
develop malware to compromise mobile devices for malicious and private purposes. The …

SAFEDroid: Using structural features for detecting Android malwares

S Sen, AI Aysan, JA Clark - … Workshops, ATCS and SePrIoT, Niagara Falls …, 2018 - Springer
Mobile devices have become a popular target for attackers, whose aims are to harm the
devices, illegally obtain personal information and ultimately to reap financial benefit. In order …

[PDF][PDF] DETECTION OF MALICIOUS ANDROID APPS USING MACHINE LEARNING TECHNIQUES

CW Colaco, MDBSA Bose - trendytechjournals.com
Lately, the matter of dangerous malware in devices is spreading speedily, particularly those
repackaged android malware. Though understanding robot malware mistreatment dynamic …

What static analysis can utmost offer for Android malware detection

AT Kabakus - Information Technology and Control, 2019 - itc.ktu.lt
Malicious applications are widespread for Android despite the taken serious actions by the
operating system. Static and dynamic analysis techniques are utilized to detect malware by …

Bio-inspired computational paradigm for feature investigation and malware detection: interactive analytics

A Firdaus, NB Anuar, MFA Razak… - Multimedia Tools and …, 2018 - Springer
Recently, people rely on mobile devices to conduct their daily fundamental activities.
Simultaneously, most of the people prefer devices with Android operating system. As the …

Androsafe: Online malware analysis with static and dynamic methods

K Kesavan, C Liyanapathirana, SAW Sampath… - 2016 - rda.sliit.lk
With an estimated market share of 70% to 80%, Android as becoming the most popular
operating system for smartphone and tablet. Cyber criminals naturally expanded their …

[PDF][PDF] Analysis and detection of potentially harmful Android applications using machine learning

GAS Kavneth, S Jayalal - 2018 - researchgate.net
With the rapid advancement of technology today, smartphones have become more and
more powerful and attract a huge number of users with new features provided by mobile …

Comparative Study of Various Intrusion Detection Techniques for Android Malwares

L Aneja, J Singh - Proceedings of Second International Conference on …, 2021 - Springer
The spread of digital crimes have increased with the expansion in the use of smartphones.
Especially, the major security threats have been seen in the case of android devices as …

[HTML][HTML] Machine learning approach to detect android malware using feature-selection based on feature importance score

A Pathak, U Barman, TS Kumar - Journal of Engineering Research, 2024 - Elsevier
The hazards posed by malware are proliferating along with technology's rapid advancement
and the use of online services. Specifically, attacks on Android devices are growing …