Intrusion detection systems (IDSs) are intrinsically linked to a comprehensive solution of
cyberattacks prevention instruments. To achieve a higher detection rate, the ability to design …

Abstract Detection of Denial of Service (DoS) attack is one of the most critical issues in cloud
computing. The attack detection framework is very complex due to the nonlinear thought of …

Traditional ML based IDS cannot handle high-speed and ever-evolving attacks.
Furthermore, these traditional IDS face several common challenges, such as processing …

The paper discusses a new framework combining the possibilities of Big Data processing
and machine leaning developed for security monitoring of mobile Internet of Things. The …

Abstract Vehicular Ad hoc NETworks (VANET) allow communications between vehicles
using their own connection infrastructure. There are several advantages and applications in …

Sensitive information can be exposed to critical risks when communicated through computer
networks. The ability of cybercriminals to hide their intention to attack obstructs existing …

The popularity of wireless sensor networks (WSNs) increases as the usage areas and the
number of integrated systems increase, and this situation attracts the attention of attackers …

The paper offers a new approach to Big Data processing for security monitoring of mobile
Internet of things elements based on machine learning and its implementation using parallel …

The chapter presents an approach to cybersecurity data analysis based on the combination
of a set of machine learning methods and Big Data technologies for network attack and …

The article is aimed at solving the problem of constructing and analyzing a compressed
social graph, taking into account the estimates of the probability of a transition of the …