The impressive growth in the number of CubeSats projects carried out over the past decade
gives rise to a new segment in the space industry. Whether academic, military or …

Constant evolution and the emergence of new cyberattacks require the development of
advanced techniques for defense. This paper aims to measure the impact of a supervised …

This paper reviews popular signature and anomaly-based intrusion detection systems (IDS).
Dimensionality reduction techniques (DRT) are used to increase the efficiency of such …

The rising frequency of cyberattacks emphasizes the vital necessity for resilient Intrusion
Detection Systems (IDS) to safeguard computer networks, focusing on the application of …

Anomaly detection is the process of discovering unusual or rare patterns in data that are
significantly different from the rest of the observations in a dataset. The importance of the …

Histogram is a commonly used tool for visualizing data distribution. It has also been used in
semi-supervised and unsupervised anomaly detection tasks. The histogram-based outlier …

Intrusion detection systems (IDS) are well-known means of quickly detecting attacks, which
can effectively detect known attacks available during training. However, when the system …

Boosting and bagging are famous ensembles gaining knowledge of algorithms for photo
classes. Each algorithm depends upon combining a couple of classifiers to enhance …

L'internet of things (IoT) è un campo tecnologico in rapida crescita, con applicazioni in settori
come la domotica, l'agricoltura, l'automazione industriale, la sanità e molti altri ancora …

ARTIFICIAL Intelligence (AI) has significantly evolved, reshaping the technological
landscape. Since its conceptualization in the mid-20th century, AI has grown from being a …