中文
相关论文

相关论文: DynaLog: An automated dynamic analysis framework f…

200 篇论文

Android is an open software platform for mobile devices with a large market share in the smartphone sector. The openness of the system as well as its wide adoption lead to an increasing amount of malware developed for this platform. ANANAS…

密码学与安全 · 计算机科学 2013-11-13 Thomas Eder , Michael Rodler , Dieter Vymazal , Markus Zeilinger

Analyzing Android applications for malicious behavior is an important area of research, and is made difficult, in part, by the increasingly large number of applications available for the platform. While techniques exist to perform static…

密码学与安全 · 计算机科学 2014-10-29 Michael Bierma , Eric Gustafson , Jeremy Erickson , David Fritz , Yung Ryn Choe

Android is the most widely used smartphone OS with 82.8% market share in 2015. It is therefore the most widely targeted system by malware authors. Researchers rely on dynamic analysis to extract malware behaviors and often use emulators to…

密码学与安全 · 计算机科学 2016-09-16 Paul Irolla , Eric Filiol

The astonishing spread of Android OS, not only in smartphones and tablets but also in IoT devices, makes this operating system a very tempting target for malware threats. Indeed, the latter are expanding at a similar rate. In this respect,…

密码学与安全 · 计算机科学 2017-02-21 ElMouatez Billah Karbab , Mourad Debbabi , Saed Alrabaee , Djedjiga Mouheb

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

Following the increasing popularity of mobile ecosystems, cybercriminals have increasingly targeted them, designing and distributing malicious apps that steal information or cause harm to the device's owner. Aiming to counter them,…

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 Android operating system has become the most popular operating system for smartphones and tablets leading to a rapid rise in malware. Sophisticated Android malware employ detection avoidance techniques in order to hide their malicious…

密码学与安全 · 计算机科学 2017-04-03 Mohammed K. Alzaylaee , Suleiman Y. Yerima , Sakir Sezer

Several solutions ensuring the dynamic detection of malicious activities on Android ecosystem have been proposed. These are represented by generic rules and models that identify any purported malicious behavior. However, the approaches…

密码学与安全 · 计算机科学 2023-08-01 Abdellah Ouaguid , Mohamed Ouzzif , Noreddine Abghour

The impressive growth of smartphone devices in combination with the rising ubiquity of using mobile platforms for sensitive applications such as Internet banking, have triggered a rapid increase in mobile malware. In recent literature, many…

密码学与安全 · 计算机科学 2023-12-20 Harris Papadopoulos , Nestoras Georgiou , Charalambos Eliades , Andreas Konstantinidis

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 dominant mobile operating system, Android continues to attract a substantial influx of new applications each year. However, this growth is accompanied by increased attention from malicious actors, resulting in a significant rise in…

软件工程 · 计算机科学 2025-12-16 Dewen Suo , Lei Xue , Weihao Huang , Runze Tan , Guozi Sun

The Android OS has become the most popular mobile operating system leading to a significant increase in the spread of Android malware. Consequently, several static and dynamic analysis systems have been developed to detect Android malware.…

密码学与安全 · 计算机科学 2017-05-19 Mohammed K. Alzaylaee , Suleiman Y. Yerima , Sakir Sezer

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

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

Android is the predominant mobile operating system for the past few years. The prevalence of devices that can be powered by Android magnetized not merely application developers but also malware developers with criminal intention to design…

密码学与安全 · 计算机科学 2018-12-27 Abdelmonim Naway , Yuancheng LI

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

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

Expecting the shipment of 1 billion Android devices in 2017, cyber criminals have naturally extended their vicious activities towards Google's mobile operating system. With an estimated number of 700 new Android applications released every…

Dynamic analysis has emerged as a pivotal technique for testing Android apps, enabling the detection of bugs, malicious code, and vulnerabilities. A key metric in evaluating the efficacy of tools employed by both research and practitioner…

软件工程 · 计算机科学 2024-04-18 Jordan Samhi , Andreas Zeller
‹ 上一页 1 2 3 10 下一页 ›