Event logs are a powerful source of digital evidence as they contain detailed information
about activities performed on a computer. Forensic investigation of the event logs is a …

With the advancement of conversational AI and Large Language Models (LLMs), interactive
chatbots are emerging as pivotal assets for connecting with users across various sectors …

Fault prediction problems in network systems are often manifested as very onerous for better
network management. One of the effective measures is to constantly monitor and analyze …

In digital age, the valuable asset of every company is their data. They contain personal
information, companies and industries data, sensitive government communications and a lot …

With the development of cloud infrastructure, more and more transaction processing systems
are hosted in cloud platform. Log, that usually saves production behaviors of a transaction …

Актуальность темы исследования. Вступление в силу Федерального закона № 187-ФЗ
«О безопасности критической информационной инфраструктуры Российской …

With the development of artificial intelligence, deep-learning-based log anomaly detection
proves to be an important research topic. In this paper, we propose LogCSS, a novel log …

During the last two decades, the mining of message patterns from textual event logs has
become an important security monitoring and system management task. A number of …

Monitoring the real-time log is the essential practice for network auditors to take proactive
decisions. Collecting and analyzing raw log files are taking up a great deal of time. Software …

A business process is a series of activities or work that is structured and interrelated to solve
a problem. Business Process Model Notation (BPMN) is a standard that often use to create a …