Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …

The advent of the Android system has brought smartphone technology to the doorsteps of
the masses. The latest technologies have made it affordable for every section of the society …

Abstract Cutting edge Deep Learning (DL) techniques have been widely applied to areas
like image processing and speech recognition so far. Likewise, some DL work has been …

Machine learning-based solutions have been successfully employed for the automatic
detection of malware on Android. However, machine learning models lack robustness to …

The number of applications (apps) available for smart devices or Android based IoT (Internet
of Things) has surged dramatically over the past few years. Meanwhile, the volume of ill …

A large number of research studies have been focused on detecting Android malware in
recent years. As a result, a reliable and large-scale malware dataset is essential to build …

The Android ecosystem today is a growing universe of a few billion devices, hundreds of
millions of users and millions of applications targeting a wide range of activities where …

While the usage of smart devices is increasing, security attacks and malware affecting such
terminals are briskly evolving as well. Mobile security suites exist to defend devices against …

The purpose of this study is to report on the industry's perspectives and opinions on cross‐
platform mobile development, with an emphasis on the popularity, adoption, and arising …

Crypto-ransomware is a type of malware that encrypts user files, deletes the original data,
and asks for a ransom to recover the hijacked documents. It is a cyber threat that targets both …