Machine Learning (ML) has become a valuable asset to solve many real-world tasks. For
Network Intrusion Detection (NID), however, scientific advances in ML are still seen with …

Containers, a mechanism to package software and its dependencies into a single artifact,
have helped fuel the rapid pace of technological advancements in the last few years …

This paper analyzes the state-of-the-art machine-learning techniques for detecting in-
browser cryptojacking. Our study follows a systematic literature review encompassing three …

Cryptocurrency mining is a crucial operation in blockchains, and miners often join mining
pools to increase their chances of earning rewards. However, the energy-intensive nature of …

As the Internet evolves from TLS 1.2 to TLS 1.3, it offers enhanced security against network
eavesdrop** for online communications. However, this advancement also enables …

Cryptojacking is the permissionless use of a target device to covertly mine cryptocurrencies.
With cryptojacking, attackers use malicious JavaScript codes to force web browsers into …

Cryptojacking is a cybersecurity threat in which cybercriminals use unauthorized computing
resources for cryptocurrency mining. This kind of illegal activity is showing an intensifying …

In recent years, the good revenue generated by cryptocurrency mining has attracted a lot of
people to participate in it. It has also caught the attention of hackers, and cryptojacking …

The rapid evolution of malicious activities in network environments necessitates the
development of more effective and efficient detection and mitigation techniques. Traditional …

The rapid growth of cryptojacking and the increase in regulatory bans on cryptomining have
prompted organizations to enhance detection ability within their networks. Traditional …