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Article . 2025
License: CC BY
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Sistem Deteksi Ancaman Malicious Software pada Perangkat Mobile untuk Peningkatan Kesadaran Keamanan Siber

Authors: Ahmad, Heryanto; Deris, Stiawan; Nurul, Afifah; Adi, Hermansyah;

Sistem Deteksi Ancaman Malicious Software pada Perangkat Mobile untuk Peningkatan Kesadaran Keamanan Siber

Abstract

ABSTRAK Perkembangan teknologi digital yang pesat menjadikan perangkat mobile seperti smartphone dan tablet sebagai bagian penting dalam kehidupan sehari-hari. Namun, kemajuan ini juga meningkatkan ancaman terhadap keamanan perangkat, terutama melalui malware. Malware adalah perangkat lunak yang dirancang untuk merusak atau mencuri data, dan sering menyebar melalui aplikasi yang tidak aman. Untuk mengatasi tantangan ini, pengembangan dan implementasi sistem deteksi malware pada perangkat mobile menjadi krusial. Sistem ini bertujuan untuk mengidentifikasi jenis-jenis malware, mendeteksi pola serangan, serta memberikan pemahaman mengenai pentingnya menjaga keamanan informasi dalam penggunaan perangkat mobile dan internet. Manfaat dari kegiatan ini termasuk meningkatkan kemampuan masyarakat dalam menghadapi ancaman malware, memperkuat perlindungan data pribadi, dan mendorong penggunaan internet yang lebih aman. Dengan menyediakan alat yang lebih canggih untuk mendeteksi malware, diharapkan dapat mengurangi insiden keamanan yang disebabkan oleh aplikasi berbahaya dan membangun budaya keamanan siber yang lebih kuat di masyarakat. KATA KUNCI: Deteksi, Keamanan Siber, Malware, Mobile, Pola Serangan ABSTRACT The rapid development of digital technology has made mobile devices such as smartphones and tablets an important part of everyday life. However, this progress also increases threats to device security, especially through malware. Malware is software designed to damage or steal data, and often spreads through unsafe applications. To address this challenge, the development and implementation of malware detection systems on mobile devices is crucial. This system aims to identify various types of malware, detect attack patterns, and provide an understanding of the importance of maintaining information security when using mobile devices and the internet. The benefits of this initiative include enhancing the public's ability to counter malware threats, strengthening the protection of personal data, and promoting safer internet usage. By providing more advanced tools for detecting malware, it is hoped that incidents of security breaches caused by harmful applications can be reduced and a stronger cybersecurity culture can be fostered within society. KEYWORDS: Attack Patterns, Cybersecurity, Detection, Malware, Mobile

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average