Android malware has been in an increasing trend in recent years due to the pervasiveness
of Android operating system. Android malware is installed and run on the smartphones …

Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …

Smart contracts are decentralized applications running on Blockchain. A very large number
of smart contracts has been deployed on Ethereum. Meanwhile, security flaws of contracts …

Android Malware detection became a hot topic over the last several years. Although
considerable studies have been conducted utilizing machine learning-based methods, little …

Android security incidents occurred frequently in recent years. To improve the accuracy and
efficiency of large-scale Android malware detection, in this work, we propose a hybrid model …

The Botnets have become one of the most serious threats to cyber infrastructure. Most
existing work on detecting botnets is based on flow-based traffic analysis by mining their …

In this paper, we develop four malware detection methods using Hamming distance to find
similarity between samples which are first nearest neighbors (FNN), all nearest neighbors …

The majority of smartphones on the market run on the Android operating system. Security
has been a core concern with this platform since it allows users to install apps from unknown …

Android malware has continued to grow in volume and complexity posing significant threats
to the security of mobile devices and the services they enable. This has prompted increasing …

Today, in the field of malware detection, the expanding limitations of traditional detection
methods and the increasing accuracy of detection methods designed on the basis of artificial …