SIMULATION OF ENTERPRISE SOC-CENTER FUNCTIONING АТ THE LARGE-SCALE COMPUTER ATTACKS

Author(s):  
Владимир Александрович Минаев ◽  
Евгений Сергеевич Поликарпов

Обсуждаются структура современных центров мониторинга информационной безопасности (ЦМИБ) и схема прохождения сообщений через блок SIEM (Security Information and Event Management). Дано ограничение на время обработки сообщения о событиях в SIEM. Изучены результаты некоторых имитационных экспериментов c управлением кадровыми ресурсами SOC-Центра. Показано, что для оптимизации управления ресурсами центров обеспечения информационной безопасности современных предприятий эффективно применимы методы дискретно-событийного моделирования. Разработанная авторами дискретно-событийная модель SOC-центра позволяет решать задачи управления и оптимизации кадрового ресурса, прогнозирования и анализа поведения центра при различных штатных и внештатных ситуациях. Выбранное в качестве среды имитационного моделирования программное обеспечение Anylogic позволяет воспроизводить различные сценарии с помощью дискретно-событийных моделей, производить интерпретацию результатов моделирования и управлять факторным комплексом моделей во время их работы, проводить различные виды имитационных экспериментов, в том числе - по вариации параметров моделей, оптимизации и многое другое. Эксперименты подтвердили устойчивость и адекватность математической модели оптимизации управления кадровыми ресурсами. При проведении исследований дискретно-событийной модели SOC-центра показано, что организация борьбы с компьютерными атаками осуществляется эффективнее при оптимальном распределении кадровых ресурсов. В ходе эксперимента по организации целенаправленной компьютерной атаки выявлено, что модель с оптимальным распределением кадрового ресурса устойчива к атакам различного масштаба, включая массовые. The structure of modern Information Security Monitoring Centers (ISMC) and the scheme of passing messages through the SIEM (Security Information and Event Management) block are discussed. The time limit for processing the event message in SIEM is given. The results of some simulation experiments with the human resources of the SOC-center are investigated. It is shown that the methods of discrete-event modeling are effectively applied to optimize the resource management of information security centers of modern enterprises. The discrete-event model of the SOC-center developed by the authors allows solving the problems of managing and optimizing the human resource, predicting and analyzing the behavior of the center in various regular and emergency situations. The Anylogic software chosen as the simulation environment allows you to reproduce various scenarios using discrete-event models, interpret the simulation results and manage the factor complex of models during their operation, conduct various types of simulation experiments, including model parameter variations, optimization, and much more. The experiments confirmed the stability and adequacy of the mathematical model for optimizing human resource management. When conducting studies of the discrete-event model of the SOC-center, it is shown that the organization of the fight against computer attacks is carried out more efficiently with an optimal distribution of human resources. During the experiment on the organization of a targeted computer attack, it was revealed that the model with the optimal distribution of human resources is resistant to attacks of various scales, including mass ones.

Author(s):  
Do Huy Thuong ◽  
Nguyen Thi Phuong Hong

This research analysizes the factors affecting the business expectations of human resources in entertainment and event management. The research results have showed that of the 5 factors affecting the human resource expectations of businesses in entertainment and event management, the factor “professional knowledge” has the biggest impact on the expectations of the businesses. Next to it are “attitude”, “skill” and “ability”. The factor “fundamental knowledge” has the least influence on the expectations of the businesses.


Author(s):  
Bernard M. McGarvey ◽  
Nancy J. Dynes ◽  
Burch C. Lin ◽  
Wesley H. Anderson ◽  
James P. Kremidas ◽  
...  

2013 ◽  
Vol 401-403 ◽  
pp. 2205-2208 ◽  
Author(s):  
Huai Zhong Li ◽  
Tong Jing ◽  
Hong Zhang

Wind energy has become a leading developing direction in electric power. The high cost associated with turbine maintenance is a key challenging issue in wind farm operation as wind turbines are hard-to access for inspection and repair. Analysis of an onshore wind farm is carried out in this paper in terms of the operation, failure, and maintenance. Failures are categorized into three classes according to the downtime. It is found that the pitch, gearbox and generator have the most amount of downtime, while the most number of failures is from the pitch and electric system. A discrete-event model is developed by using Arena to simulate the operation, failure occurrence, and maintenance of the wind turbines, with an aim to determine the main factors influencing maintenance costs and the availability of the turbines in the wind farm.


Risk Analysis ◽  
2019 ◽  
Vol 39 (8) ◽  
pp. 1812-1824 ◽  
Author(s):  
Amanda M. Wilson ◽  
Kelly A. Reynolds ◽  
Marc P. Verhougstraete ◽  
Robert A. Canales

Author(s):  
Tai-Tuck Yu ◽  
James P. Scanlan ◽  
Richard M. Crowder ◽  
Gary B. Wills

Discrete-event modeling has long been used for logistics and scheduling problems, while multi-agent modeling closely matches human decision-making process. In this paper, a metric-based comparison between the traditional discrete-event and the emerging agent-based modeling approaches is reported. The case study involved the implementation of two functionally identical models based on a realistic, nontrivial, civil aircraft gas turbine global repair operation. The size, structural complexity, and coupling metrics from the two models were used to gauge the benefits and drawbacks of each modeling paradigm. The agent-based model was significantly better than the discrete-event model in terms of execution times, scalability, understandability, modifiability, and structural flexibility. In contrast, and importantly in an engineering context, the discrete-event model guaranteed predictable and repeatable results and was comparatively easy to test because of its single-threaded operation. However, neither modeling approach on its own possesses all these characteristics nor can each handle the wide range of resolutions and scales frequently encountered in problems exemplified by the case study scenario. It is recognized that agent-based modeling can emulate high-level human decision-making and communication closely while discrete-event modeling provides a good fit for low-level sequential processes such as those found in manufacturing and logistics.


2005 ◽  
Vol 443 (2) ◽  
pp. 451-463 ◽  
Author(s):  
P. Favre ◽  
T. J.-L. Courvoisier ◽  
S. Paltani

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