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With the popularity of Android growing exponentially, the amount of malware has significantly exploded. It is arguably one of the most viral problems on mobile platforms. Recently, various approaches have been introduced to detect Android…

密码学与安全 · 计算机科学 2022-01-25 Peng Xu

Android malware detection is a critical step towards building a security credible system. Especially, manual search for the potential malicious code has plagued program analysts for a long time. In this paper, we propose Droidetec, a deep…

密码学与安全 · 计算机科学 2020-02-11 Zhuo Ma , Haoran Ge , Zhuzhu Wang , Yang Liu , Ximeng Liu

Smartphones and mobile devices are rapidly becoming indispensable devices for many users. Unfortunately, they also become fertile grounds for hackers to deploy malware and to spread virus. There is an urgent need to have a "security…

密码学与安全 · 计算机科学 2013-09-24 Min Zheng , Mingshen Sun , John C. S. Lui

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

Mobile malware has been growing in scale and complexity as smartphone usage continues to rise. Android has surpassed other mobile platforms as the most popular whilst also witnessing a dramatic increase in malware targeting the platform. A…

密码学与安全 · 计算机科学 2016-08-03 Suleiman Y. Yerima , Sakir Sezer , Gavin McWilliams , Igor Muttik

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

With the number of new mobile malware instances increasing by over 50\% annually since 2012 [24], malware embedding in mobile apps is arguably one of the most serious security issues mobile platforms are exposed to. While obfuscation…

密码学与安全 · 计算机科学 2019-08-23 Muhammad Ikram , Pierrick Beaume , Mohamed Ali Kaafar

With the increasing user base of Android devices and advent of technologies such as Internet Banking, delicate user data is prone to be misused by malware and spyware applications. As the app developer community increases, the quality…

密码学与安全 · 计算机科学 2018-06-19 Dhruv Rathi , Rajni Jindal

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

Android malware has been on the rise in recent years due to the increasing popularity of Android and the proliferation of third party application markets. Emerging Android malware families are increasingly adopting sophisticated detection…

密码学与安全 · 计算机科学 2016-12-06 BooJoong Kang , Suleiman Y. Yerima , Sakir Sezer , Kieran McLaughlin

The pervasiveness of the Android operating system, with the availability of applications almost for everything, is readily accessible in the official Google play store or a dozen alternative third-party markets. Additionally, the vital role…

密码学与安全 · 计算机科学 2019-04-02 Abdelmonim Naway , Yuancheng LI

The Android operating system is the most spread mobile platform in the world. Therefor attackers are producing an incredible number of malware applications for Android. Our aim is to detect Android's malware in order to protect the user. To…

密码学与安全 · 计算机科学 2021-04-09 Alain Menelet , Charles-Edmond Bichot

The vast majority of today's mobile malware targets Android devices. This has pushed the research effort in Android malware analysis in the last years. An important task of malware analysis is the classification of malware samples into…

密码学与安全 · 计算机科学 2017-09-05 Luca Massarelli , Leonardo Aniello , Claudio Ciccotelli , Leonardo Querzoni , Daniele Ucci , Roberto Baldoni

In the past decade, the cyber-crime related to mobile devices has increased. Mobile devices, especially the ones running on Android operating system are particularly interesting to malware creators, as the users often keep the biggest…

密码学与安全 · 计算机科学 2019-10-24 Nikola Milosevic , Junfan Huang

The emergence of mobile platforms with increased storage and computing capabilities and the pervasive use of these platforms for sensitive applications such as online banking, e-commerce and the storage of sensitive information on these…

密码学与安全 · 计算机科学 2015-12-15 Joshua Abah , Waziri O. , Abdullahi M. B , Arthur U. M , Adewale O. S

We report the findings of a reimplementation of 18 foundational studies in feature-based machine learning for Android malware detection, published during the period 2013-2023. These studies are reevaluated on a level playing field using a…

机器学习 · 计算机科学 2026-01-22 Ali Muzaffar , Hani Ragab Hassen , Hind Zantout , Michael A Lones

Static detection technologies based on signature-based approaches that are widely used in Android platform to detect malicious applications. It can accurately detect malware by extracting signatures from test data and then comparing the…

密码学与安全 · 计算机科学 2017-09-27 Sanya Chaba , Rahul Kumar , Rohan Pant , Mayank Dave

With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, which calls for the development of advanced and effective malware detection approaches. Traditional…

密码学与安全 · 计算机科学 2018-12-12 Rui Zhu , Chenglin Li , Di Niu , Hongwen Zhang , Husam Kinawi

Malware detection is a growing problem particularly on the Android mobile platform due to its increasing popularity and accessibility to numerous third party app markets. This has also been made worse by the increasingly sophisticated…

密码学与安全 · 计算机科学 2016-07-28 BooJoong Kang , Suleiman Y. Yerima , Kieran McLaughlin , Sakir Sezer

Due to its open-source nature, the Android operating system has consistently been a primary target for attackers. Learning-based methods have made significant progress in the field of Android malware detection. However, traditional…

密码学与安全 · 计算机科学 2025-04-11 Xingyuan Wei , Zijun Cheng , Ning Li , Qiujian Lv , Ziyang Yu , Degang Sun
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