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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

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 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 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

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

Android has become the most popular mobile operating system. Correspondingly, an increasing number of Android malware has been developed and spread to steal users' private information. There exists one type of malware whose benign behaviors…

密码学与安全 · 计算机科学 2021-07-13 Yueming Wu , Deqing Zou , Wei Yang , Xiang Li , Hai Jin

In this paper, we present a comparative analysis of benign and malicious Android applications, based on static features. In particular, we focus our attention on the permissions requested by an application. We consider both binary…

密码学与安全 · 计算机科学 2019-04-02 Neeraj Chavan , Fabio Di Troia , Mark Stamp

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

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

Machine learning models are increasingly being adopted across various fields, such as medicine, business, autonomous vehicles, and cybersecurity, to analyze vast amounts of data, detect patterns, and make predictions or recommendations. In…

密码学与安全 · 计算机科学 2024-04-16 Dipkamal Bhusal , Nidhi Rastogi

Clustering has been well studied for desktop malware analysis as an effective triage method. Conventional similarity-based clustering techniques, however, cannot be immediately applied to Android malware analysis due to the excessive use of…

密码学与安全 · 计算机科学 2017-07-18 Yuping Li , Jiyong Jang , Xin Hu , Xinming Ou

Nowadays, Android is the most dominant operating system in the mobile ecosystem, with billions of people using its apps daily. As expected, this trend did not go unnoticed by miscreants, and Android became the favorite platform for…

密码学与安全 · 计算机科学 2022-01-25 Peng Xu , Claudia Eckert , Apostolis Zarras

The popularity of Android system, not only in the handset devices but also in IoT devices, makes it a very attractive destination for malware. Indeed, malware is expanding at a similar rate targeting such devices that rely, in most cases,…

密码学与安全 · 计算机科学 2018-06-26 ElMouatez Billah Karbab , Mouarad Debbabi

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

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

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…

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

Android OS experiences a blazing popularity since the last few years. This predominant platform has established itself not only in the mobile world but also in the Internet of Things (IoT) devices. This popularity, however, comes at the…

密码学与安全 · 计算机科学 2017-12-27 ElMouatez Billah Karbab , Mourad Debbabi , Abdelouahid Derhab , Djedjiga Mouheb

With the development in the field of smartphones and ever growing base of Internet, various softwares are left prone to many malicious activities like pharming, phishing, ransomware, spam, spoofing, spyware, eavesdropping, etc. These…

密码学与安全 · 计算机科学 2019-12-30 Soumya Sourav , Devashish Khulbe , Naman Kapoor

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