Malware has been one of the most damaging threats to computers that span across multiple
operating systems and various file formats. To defend against ever-increasing and ever …

Emerging blockchain and cryptocurrency-based technologies are redefining the way we
conduct business in cyberspace. Today, a myriad of blockchain and cryp-tocurrency …

In the ever-changing cyber threat landscape, evolving malware threats demand a new
technique for their detection. This paper puts forward a strategy for distinguishing malware …

Machine learning methods can detect Android malware with very high accuracy. However,
these classifiers have an Achilles heel, concept drift: they rapidly become out of date and …

Nowadays, the rapid growth of the number and variety of malware brings great security
challenges. Machine learning has become a mainstream tool for effective malware …

Many studies have proposed machine-learning (ML) models for malware detection and
classification, reporting an almost-perfect performance. However, they assemble ground …

IoT devices which include wireless sensors, software, actuators, and computer devices
operated through the Internet, enable the transfer of data among objects or people …

Existing Android malware detection methods are usually hard to simultaneously resist
various obfuscation techniques. Therefore, bytecode-based code obfuscation becomes an …

Tor~\citetor is the most widely used anonymous communication network with millions of
daily users~\citetormetrics. Since Tor provides server and client anonymity, hundreds of …

As in other cybersecurity areas, machine learning (ML) techniques have emerged as a
promising solution to detect Android malware. In this sense, many proposals employing a …