Detection

DEVELOPMENT OF A MODEL OF A CYBER THREATS DETECTION SYSTEM WITH SUPPORT AND UPDATE OF ATTACK DETECTION RULES

The article addresses the issue of data protection in information and communication systems amid the growing volume of traffic and the increasing number of cyber threats, necessitating improvements in the effectiveness of intrusion detection and prevention systems. Various types of Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS), their advantages, and disadvantages are considered. The methods of threat detection are analyzed, including signature-based methods, anomaly detection methods, and machine learning-based methods.

Total and partial observation–detection in linear dynamical systems with characterized sources: finite-dimensional cases

In this work, we address the partial observation–detection problem for finite-dimensional dynamical linear systems that may not be fully observable or detectable.  We introduce the concepts of `observation–detection' and `partial observation–detection,' which involve reconstructing either the entirety or a portion of the system state and the source reacting on the system, even when the system is not fully observable or detectable.  We provide characterizations of `observable–detectable systems' and `observable–detectable spaces.'  The reconstruction of the state and sou

Feature of detection and realization of investigative actions on the start-up period investigation of drugs’ smuggling

In this article explores the features of detection and realization of investigative actions on the start-up period of investigation contraband smuggling of narcotics , psychotropic substances and falsification medicinal means .The algorithm of operating is offered on the start-up period of investigation of this crime