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Jeonggeun Jo, Jaeik Cho and Jongsub Moon
Artificial intelligence (AI) is increasingly being utilized in cybersecurity, particularly for detecting malicious applications. However, the black-box nature of AI models presents a significant challenge. This lack of transparency makes it difficult to ...
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Parvez Faruki, Rati Bhan, Vinesh Jain, Sajal Bhatia, Nour El Madhoun and Rajendra Pamula
Android platform security is an active area of research where malware detection techniques continuously evolve to identify novel malware and improve the timely and accurate detection of existing malware. Adversaries are constantly in charge of employing ...
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Mohammed N. AlJarrah, Qussai M. Yaseen and Ahmad M. Mustafa
The Android platform has become the most popular smartphone operating system, which makes it a target for malicious mobile apps. This paper proposes a machine learning-based approach for Android malware detection based on application features. Unlike man...
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Arthur Fournier, Franjieh El Khoury and Samuel Pierre
The rapid adoption of Android devices comes with the growing prevalence of mobile malware, which leads to serious threats to mobile phone security and attacks private information on mobile devices. In this paper, we designed and implemented a model for m...
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Vasileios Kouliaridis and Georgios Kambourakis
Year after year, mobile malware attacks grow in both sophistication and diffusion. As the open source Android platform continues to dominate the market, malware writers consider it as their preferred target. Almost strictly, state-of-the-art mobile malwa...
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Huseyn Huseynov, Tarek Saadawi and Kenichi Kourai
The extreme bandwidth and performance of 5G mobile networks changes the way we develop and utilize digital services. Within a few years, 5G will not only touch technology and applications, but dramatically change the economy, our society and individual l...
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Rosangela Casolare, Fabio Martinelli, Francesco Mercaldo and Antonella Santone
The Android platform is currently targeted by malicious writers, continuously focused on the development of new types of attacks to extract sensitive and private information from our mobile devices. In this landscape, one recent trend is represented by t...
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Luca Massarelli, Leonardo Aniello, Claudio Ciccotelli, Leonardo Querzoni, Daniele Ucci and Roberto Baldoni
The vast majority of today?s mobile malware targets Android devices. An important task of malware analysis is the classification of malicious samples into known families. In this paper, we propose AndroDFA (DFA, detrended fluctuation analysis): an approa...
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Abikoye Oluwakemi Christianah,Benjamin Aruwa Gyunka,Akande Noah Oluwatobi
Pág. pp. 61 - 78
Android operating system has become very popular, with the highest market share, amongst all other mobile operating systems due to its open source nature and users friendliness. This has brought about an uncontrolled rise in malicious applications target...
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Mohamad Adib Azhar,Madihah Mohd Saudi,Azuan Ahmad,Azreena Abu Bakar
Pág. pp. 61 - 79
Internet users all over the world are highly exposed to social media exploitation, where they are vulnerable to be targeted by this cyber-attack. Furthermore, excessive use of social media leads to Internet Addiction Disorder (IAD). Fortunately, social m...
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