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Mobile malware has continued to grow at an alarming rate despite on-going efforts towards mitigating the problem. This has been particularly noticeable on Android due to its being an open platform that has subsequently overtaken other…

密码学与安全 · 计算机科学 2016-07-28 Suleiman Y. Yerima , Sakir Sezer , Igor Muttik

As the smartphone market leader, Android has been a prominent target for malware attacks. The number of malicious applications (apps) identified for it has increased continually over the past decade, creating an immense challenge for all…

The battle to mitigate Android malware has become more critical with the emergence of new strains incorporating increasingly sophisticated evasion techniques, in turn necessitating more advanced detection capabilities. Hence, in this paper…

密码学与安全 · 计算机科学 2016-07-28 Suleiman Y. Yerima , Sakir Sezer , Igor Muttik

The amount of Android malware has increased greatly during the last few years. Static analysis is widely used in detecting such malware by analyzing the code without execution. The effectiveness of current tools relies on the app model as…

密码学与安全 · 计算机科学 2016-04-11 Mohsin Junaid , Donggang Liu , David Kung

Machine learning (ML) has demonstrated significant advancements in Android malware detection (AMD); however, the resilience of ML against realistic evasion attacks remains a major obstacle for AMD. One of the primary factors contributing to…

密码学与安全 · 计算机科学 2024-08-30 Hamid Bostani , Zhengyu Zhao , Veelasha Moonsamy

There is an increase in global malware threats. To address this, an encryption-type ransomware has been introduced on the Android operating system. The challenges associated with malicious threats in phone use have become a pressing issue…

密码学与安全 · 计算机科学 2025-10-30 Parick Ozoh , John K Omoniyi , Bukola Ibitoye

Sophisticated malware families exploit the openness of the Android platform to infiltrate IoT networks, enabling large-scale disruption, data exfiltration, and denial-of-service attacks. This systematic literature review (SLR) examines…

密码学与安全 · 计算机科学 2025-09-16 Shama Maganur , Yili Jiang , Jiaqi Huang , Fangtian Zhong

Malicious applications (particularly those targeting the Android platform) pose a serious threat to developers and end-users. Numerous research efforts have been devoted to developing effective approaches to defend against Android malware.…

密码学与安全 · 计算机科学 2022-08-10 Yue Liu , Chakkrit Tantithamthavorn , Li Li , Yepang Liu

Despite the growing threat posed by Android malware, the research community is still lacking a comprehensive view of common behaviors and trends exposed by malware families active on the platform. Without such view, the researchers incur…

密码学与安全 · 计算机科学 2020-03-20 Guillermo Suarez-Tangil , Gianluca Stringhini

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…

密码学与安全 · 计算机科学 2017-12-13 Ignacio Martín , José Alberto Hernández , Alfonso Muñoz , Antonio Guzmán

Permission analysis is a widely used method for Android malware detection. It involves examining the permissions requested by an application to access sensitive data or perform potentially malicious actions. In recent years, various machine…

密码学与安全 · 计算机科学 2025-07-31 Ahmed Sabbah , Radi Jarrar , Samer Zein , David Mohaisen

Increasing interest in securing the Android ecosystem has spawned numerous efforts to assist app developers in building secure apps. These efforts have resulted in tools and techniques capable of detecting vulnerabilities (and malicious…

密码学与安全 · 计算机科学 2019-08-06 Venkatesh-Prasad Ranganath , Joydeep Mitra

The rise in popularity of the Android platform has resulted in an explosion of malware threats targeting it. As both Android malware and the operating system itself constantly evolve, it is very challenging to design robust malware…

As in other cybersecurity areas, machine learning (ML) techniques have emerged as a promising solution to detect Android malware. In this sense, many proposals employing a variety of algorithms and feature sets have been presented to date,…

密码学与安全 · 计算机科学 2022-10-07 Borja Molina-Coronado , Usue Mori , Alexander Mendiburu , Jose Miguel-Alonso

As the popularity of Android smart phones has increased in recent years, so too has the number of malicious applications. Due to the potential for data theft mobile phone users face, the detection of malware on Android devices has become an…

密码学与安全 · 计算机科学 2019-08-14 Chenglin Li , Keith Mills , Rui Zhu , Di Niu , Hongwen Zhang , Husam Kinawi

Mobile malware has been growing in scale and complexity spurred by the unabated uptake of smartphones worldwide. Android is fast becoming the most popular mobile platform resulting in sharp increase in malware targeting the platform.…

密码学与安全 · 计算机科学 2016-08-23 Suleiman Y. Yerima , Sakir Sezer , Gavin McWilliams

Mobile devices have become very popular nowadays, due to its portability and high performance, a mobile device became a must device for persons using information and communication technologies. In addition to hardware rapid evolution,…

密码学与安全 · 计算机科学 2018-01-10 Bela Amro

In the digitized world, smartphones and their apps play an important role. To name just a few examples, some apps offer possibilities for entertainment, others for online banking, and others offer support for two-factor authentication.…

密码学与安全 · 计算机科学 2023-07-18 Alexander Hefter , Christoph Sendner , Alexandra Dmitrienko

Malware authors have seen obfuscation as the mean to bypass malware detectors based on static analysis features. For Android, several studies have confirmed that many anti-malware products are easily evaded with simple program…

密码学与安全 · 计算机科学 2023-10-25 Borja Molina-Coronado , Antonio Ruggia , Usue Mori , Alessio Merlo , Alexander Mendiburu , Jose Miguel-Alonso

The Android operating system has been the most popular for smartphones and tablets since 2012. This popularity has led to a rapid raise of Android malware in recent years. The sophistication of Android malware obfuscation and detection…

密码学与安全 · 计算机科学 2019-11-25 Mohammed K. Alzaylaee , Suleiman Y. Yerima , Sakir Sezer