Intelligent Transportation Systems (ITS) are emerging field characterized by complex data
model, dynamics and strict time requirements. Ensuring cybersecurity in ITS is a complex …

Recently, cybersecurity breaches have become more common, with varying levels of impact
ranging from simple to major losses of financial resources or data. The network …

The degree of severity of a cybersecurity event of potentially malicious activity is crucial to
determine an appropriate response. Machine learning techniques are used to obtain models …

Blacklists (blocklists, denylists) of network entities (eg, IP addresses, domain names) are
popular approaches to preventing cyber attacks. However, the limited capacity of active …

Intelligent transportation systems (ITSs) are becoming increasingly prevalent in modern
transportation infrastructure, providing efficient and safe transportation solutions for cities …

In this article, we have carried out a case study to optimize the classification of the
maliciousness of cybersecurity events by IP addresses using machine learning techniques …

Privacy-enhancing techniques and protocols for data aggregation and analytics in wireless
networks require the development of novel methods for efficient and privacy-preserving …

The analysis of firewall logs is one of the most significant practices considered while
monitoring network traffic to assess their impact. The log records of the Turkish Firat …

Cognitive Computing breaks the boundary between two separate fields, neuroscience and
computer science. It paves the way for machines to have reasoning abilities which is …

In this article, we have carried out a case study to optimize the classification of the
maliciousness of cybersecurity events by IP addresses using machine learning techniques …