Abstract Information systems need to process a large amount of event monitoring data. The
process of finding the relationships between events is called correlation, which creates a …

Deep learning (DL) has gained popularity in network intrusion detection, due to its strong
capability of recognizing subtle differences between normal and malicious network activities …

A datacentre stores information and manages data access in fast and reliable manner.
Failure of datacentre operation is not an option and can be catastrophic. Internet of things …

Aquaponics, one of the vertical farming methods, is a combination of aquaculture and
hydroponics. To enhance the production capabilities of the aquaponics system and …

Ontology Alignment is an important research problem applied to various fields such as data
integration, data transfer, data preparation, etc. State-of-the-art (SOTA) Ontology Alignment …

Information Security in the cyber world is a major concern, with significant increase in attack
surfaces. Existing information on vulnerabilities, attacks, controls, and advisories available …

Based on the digitalization of the world and the increasing use of data, we can say that the
next ten years will see a huge leap in the use of data in virtualization, automation, health and …

Information Security in the cyber world is a major cause for concern, with a significant
increase in the number of attack surfaces. Existing information on vulnerabilities, attacks …

In the past decades, Machine Learning (ML) techniques have become a hot topic in the web
security field. Deep learning (DL), as a sub-field of machine learning, has proved its …

Deep learning (DL) techniques have been widely used in web attack detection domain. With
the stronger ability to fit data, DL models are also more sensitive to the training data …