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• DEVELOPING A THREAT MODEL FOR THE INFORMATION ENVIRONMENT OF HYPERCONVERGED INFRASTRUCTURE BASED ON CONSTRUCTING MULTI-COMPONENT ATTACK SCENARIOS

  К.S. Dunyushkina , I. V. Mashkina

  18-31

  2026-07-07

  Abstract ▼

  This study aims to develop a formalized information security threat model for hyperconverged infrastructure by constructing multi-component attack scenarios using the EPC (Event-driven Process Chain) methodology, taking into account the architectural features of HCI, the cascading nature of threat propagation, specific security objects, and the multitenant access model. The method of system analysis, the principle of the ARIS (Architecture of Integrated Information Systems) methodology, as well as the method of formalization of multicomponent attack scenarios are applied in the work. The technical basis was the FSTEC of Russia's methodology for assessing information security threats, the register of information security threats, and vulnerability information from the FSTEC Threat databank and the International Database (NVD). The study revealed the key architectural features of hyperconverged infrastructure as an object of protection close integration of components (computing, storage, and network), software definability of components, multitenancy, cascading nature of threat propagation. A classification of violators by privilege level is proposed. Two formalized scenarios of multicomponent attacks on specific threat targets in HCI have been developed. The scenarios are presented in the form of EPC diagrams, which allows not only to visualize the actions of the violator, visually present the tactics and techniques used by him, but also to numerically assess the probabilities of the scenarios. Based on the study of the structural and functional characteristics of HCI and taking into account the FSTEC threat assessment model, a generalized threat model of hyperconverged infrastructure with examples of filling for some affected objects has been developed. The scientific novelty of the study lies in the adaptation of the EPC threat modeling method for hyperconverged infrastructure, taking into account its architectural features and multitenancy, as well as in the development of formalized attack scenarios reflecting real vulnerability exploitation chains published in 2025-2026

• A METHOD OF CONTROLLING A MOBILE ROBOT USING NATURAL LANGUAGE SEMANTICS

  D.S. Kobzar , V.D. Matveev , Y.D. Lapkin , R.R. Bogdanov , А. S. Izyumov

  2026-04-29

  Abstract ▼

  A large number of different interfaces can be used to control robots, from traditional remotes to augmented reality technologies. However, all such interfaces have a number of limitations, which are particularly acute in service robotics. They are associated with long-term training of a human operator, non-intuitive control for humans, and the need for full human involvement. On the other hand, a new direction has emerged today, related to large language models that are capable of processing natural language and then translating it into robot control commands. There are a number of works demonstrating the possibility of using language models in tasks of planning robot actions. Based on the analysis of existing work, a new method of controlling a mobile robot is proposed, combining the advantages of other methods. The method allows you to plan scenarios for the robot, receiving a natural language mission, the robot's TOP, and information from its sensors. The article also describes the sequence of configuring the system using a large language model to solve this problem. Three variants of instructions for the neural network are presented, which gradually improve the achievability of the generated scenarios. After that, various missions are described, which are set as part of experimental studies - a total of 100 missions were tested, divided into 4 levels of difficulty in equal proportions. The complexity of the missions ranged from describing objects in the robot's field of view to interacting with complex missions involving synonyms of objects and implicitly defined goals. At the end of the work, the results of the evaluation of the algorithm and three variants of the instruction are presented. The conclusion can be considered that the use of language models to assign scenarios to robots is possible, including with a sufficiently high achievement. The model with the most advanced instruction reached 91% of correctly formed scenarios, which suggests the applicability of the developed method for controlling a mobile robot in natural language

• ORGANIZING THE EXECUTION OF A MOBILE ROBOT OPERATION SCENARIO USING A NEUROMORPHIC TASK MANAGEMENT MECHANISM

  А. М. Korsakov, V.V. Ivanova, А.А. Demcheva, V. D. Matveev, Е. Y. Smirnova

  2025-04-27

  Abstract ▼

  The paper presents the results of a study of the possibility of forming and executing a mobile robot
  operation scenario using neuromorphic information and control elements (logical elements "AND", "OR"
  and "NOT"; neuromorphic extrapolator; neuromorphic emergency detector; neuromorphic conditioned
  reflex formation mechanism). A brief description of these information and control elements is given. In
  this case, the segmented spike model of the CSNM neuron with the possibility of structural learning acts as a basic element. The trained CSNM model is capable of solving the binary classification problem, which
  implies the possibility of using it as a separate information control element – a state detector. It is proposed
  to organize the execution of the mobile robot operation scenario on the basis of universal
  neuromorphic modules using the specified neuromorphic information and control elements. The proposed
  task management mechanism boils down to the following. Universal neuromorphic modules used as switch
  blocks are prioritized. The detection of a particular situation is performed by means of a universal
  neuromorphic module, the priority of which is higher, which leads to the inhibition of all universal
  neuromorphic modules, the priority of which is lower than this one. By adding or removing universal
  neuromorphic modules, as well as changing their priority, we get the desired behavior of a mobile robot.
  The paper presents the results of a study of the proposed mechanism for organizing a robot operation
  scenario on both a computer model and a real robot. A special emulator was developed for computer
  modeling, which made it possible to comprehensively investigate the proposed solution. Moving towards
  the target in a room with partitions was chosen as a test task. The experimental results have shown the
  fundamental applicability of the proposed mechanism for forming and executing a robot operation scenario.
  The paper highlights the main disadvantages of the current implementation: the possibility of situations
  leading to looping of a set of actions performed by a mobile robot, as well as the need for manual coordination
  of the main parameters of the scene and the mobile robot (metric characteristics of the specified
  size of the scene zones, angular and linear velocity of the mobile robot, etc.). The ways to eliminate these
  disadvantages are proposed. The conclusion is made about the prospects of using the segmented spike
  model of a neuron and networks based on it for the tasks of controlling mobile robots