A novel supervised machine learning system is developed to classify network traffic whether
it is malicious or benign. To find the best model considering detection success rate …

The COVID-19 pandemic has radically altered life, killing hundreds of thousands of people
and leading many countries to issue “stay-at-home” orders to contain the virus's spread …

Network traffic classification is a significant and problematic aspect of network resource
management arising from an investigation of network developments, planning, and design …

This chapter discusses some of the emerging challenges in applying the theory to
cybercrimes, potential solutions to these challenges, as well as a review of the current state …

This study investigates the predictors of four types of cybercrime victimization/experiences:
online harassment, hacking, identity theft, and receiving nude photos or explicit content. The …

The field of criminology has greatly contributed to our understanding of cybercrime offending
and victimization through the application and testing of traditional criminological theories …

The proliferation of the Internet and mobile devices led to the digitization of society, which
encouraged the digitization of crime. On the one hand, there are new offences, such as …

Internet addiction is of great impact on college students' academic performance, life quality
and mental health. Although it's well documented the association between resilience and …

Email spam is one of the primary means to facilitate the perpetration of internet fraud and the
distribution of malware. The present research sought to examine the impact of routine …

The distribution of malicious spam occurs in substantial numbers around the globe and can
function as a precursor to serious forms of cybercrime. Yet to date, no known study has …