End-to-end analysis of big data in cybersecurity: Detecting anomalies and threats in real time

The global Internet expansion and vast device connectivity opened doors for numerous fraudulent

Covid-19 and its cybersecurity implications: From threat escalation to strategic response

This paper examines how COVID-19 affected cybersecurity, noting increased cyberattacks during remote

Analysis of Traffic Interception Threats and Effective Protection Methods

One of the central problems in the field of cybersecurity is traffic interception (TI). The variety of TI methods and the complexity of their detection require organizations to pay special attention to ensuring information security

The Role of Artificial Intelligence in Cybersecurity: Analyzing the Application of Machine Learning for Anomaly and Attack Detection in Networks

The integration of artificial intelligence (AI) and machine learning (ML) has transformed the way of detecting and combating cyber risks. This paper provides an extensive discussion on the application of AI and ML in the identification of anomalies

Comprehensive Big Data Analysis in Cybersecurity: Real-Time Anomaly and Threat Detection

Due to the increase in the number of smart devices and the evolution of the Internet, one of the essential aspects of computer security has been

Geopolitical Aspects of Cybersecurity: International Cooperation and Conflicts

The heightening of globalization and the ever-dependence on technology has made cyber security an issue of international

AI-SOC v1.0 to NIST CSF 2.0 Informative Reference Mapping

This technical reference presents the AI-SOC v1.0 to NIST Cybersecurity Framework (CSF) 2.0 Informative Reference Mapping developed by Anar Israfilov and Cyberoon Enterprise Corporation. The project maps AI-driven threat detection and autonomous