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Android-based smart devices are exponentially growing, and due to the ubiquity of the Internet, these devices are globally connected to the different devices/networks. Its popularity, attractive features, and mobility make malware creator…

密码学与安全 · 计算机科学 2019-06-03 Sanjay K. Sahay , Ashu Sharma

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…

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 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

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

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

Machine learning-based malware detection dominates current security defense approaches for Android apps. However, due to the evolution of Android platforms and malware, existing such techniques are widely limited by their need for constant…

密码学与安全 · 计算机科学 2021-11-03 Haipeng Cai

According to the Symantec and F-Secure threat reports, mobile malware development in 2013 and 2014 has continued to focus almost exclusively ~99% on the Android platform. Malware writers are applying stealthy mutations (obfuscations) to…

密码学与安全 · 计算机科学 2016-02-23 Shahid Alam , Zhengyang Qu , Ryan Riley , Yan Chen , Vaibhav Rastogi

Due to the continuous improvement of performance and functions, Android remains the most popular operating system on mobile phone today. However, various malicious applications bring great threats to the system. Over the past few years,…

密码学与安全 · 计算机科学 2021-09-03 Ruicong Huang

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

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

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

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

Machine learning based solutions have been successfully employed for automatic detection of malware on Android. However, machine learning models lack robustness to adversarial examples, which are crafted by adding carefully chosen…

密码学与安全 · 计算机科学 2021-11-17 Xiao Chen , Chaoran Li , Derui Wang , Sheng Wen , Jun Zhang , Surya Nepal , Yang Xiang , Kui Ren

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 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 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

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 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

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
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