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相关论文: N-opcode Analysis for Android Malware Classificati…

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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 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

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

Thousands of malicious applications targeting mobile devices, including the popular Android platform, are created every day. A large number of those applications are created by a small number of professional under-ground actors, however…

密码学与安全 · 计算机科学 2019-03-06 Hyunjae Kang , Jae-wook Jang , Aziz Mohaisen , Huy Kang Kim

Since Android has become a popular software platform for mobile devices recently; they offer almost the same functionality as personal computers. Malwares have also become a big concern. As the number of new Android applications tends to be…

密码学与安全 · 计算机科学 2020-06-05 Muhammad Zuhair Qadir , Atif Nisar Jilani , Hassam Ullah Sheikh

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

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

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

Malware for Android is becoming increasingly dangerous to the safety of mobile devices and the data they hold. Although machine learning(ML) techniques have been shown to be effective at detecting malware for Android, a comprehensive…

With over 50 billion downloads and more than 1.3 million apps in the Google official market, Android has continued to gain popularity amongst smartphone users worldwide. At the same time there has been a rise in malware targeting the…

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

This technical report presents a comprehensive analysis of malware classification using OpCode sequences. Two distinct approaches are evaluated: traditional machine learning using n-gram analysis with Support Vector Machine (SVM), K-Nearest…

密码学与安全 · 计算机科学 2025-04-21 Varij Saini , Rudraksh Gupta , Neel Soni

Android devices are growing exponentially and are connected through the internet accessing billion of online websites. The popularity of these devices encourages malware developer to penetrate the market with malicious apps to annoy and…

密码学与安全 · 计算机科学 2018-09-18 Ashu Sharma , Sanjay K. Sahay

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

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 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

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

Android malware is one of the most dangerous threats on the internet, and it's been on the rise for several years. Despite significant efforts in detecting and classifying android malware from innocuous android applications, there is still…

密码学与安全 · 计算机科学 2021-07-06 Ahmed Hashem El Fiky , Ayman El Shenawy , Mohamed Ashraf Madkour

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

While the rapid adaptation of mobile devices changes our daily life more conveniently, the threat derived from malware is also increased. There are lots of research to detect malware to protect mobile devices, but most of them adopt only…

密码学与安全 · 计算机科学 2019-06-25 Hye Min Kim , Hyun Min Song , Jae Woo Seo , Huy Kang Kim

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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