https://www.hse.ru/data/2011/09/14/1266804112/Jahangirian%20et%20al..pdf

Simulation in manufacturing and business: A review

The present invention provides a system and method for predicting and preventing unauthorized intrusion in a computer configuration. Preferably, the invention comprises a communication network to which at least two computing devices connect, wherein at least one of the computing devices is operable to receive data transmitted by the other computing device. The invention further comprises a database that is accessible over the network and operable to store information related to the network. A vulnerability assessment component is provided that is operable to execute a command over the communication network, and a data monitoring utility operates to monitor data transmitted over the communication network as the vulnerability assessment component executes commands. Also, an intrusion detection component is included that is operable to provide a simulated copy of the network, to generate a first data transmission on the simulated copy of the network that represents a second data transmission on the communication network, and to compare the first data transmission with a second data transmission. The vulnerability assessment component preferably interfaces with the intrusion detection component to define rules associated with the first and second data transmissions, to store the rules in the database, and to retrieve the rules from the database in order to predict and prevent unauthorized intrusion in the computer configuration.

System for intrusion detection and vulnerability assessment in a computer network using simulation and machine learning

The present invention relates to an emergency response system for use in a whole-national or whole-enterprise information infrastructure including computer systems, networks, application programs, the internet and an operation method thereof. The emergency response system automatically collects/classifies various infringements (hacking, computer virus, worm virus, cyber-terror, network spy etc), processes/analyzes information on the infringements in necessary manner according to the corresponding organization, and uses processed or analyzed information. Furthermore, the emergency response system provides a trusted information sharing system and a communication network for sharing accumulated information as above, provides an infringement evaluation and early warning for the infringements, and performs a simulation for possible infringements.

Integrated emergency response system in information infrastructure and operating method therefor

A computer-implemented system, method and medium for assessing the risk of and/or determining the suitability of a system to comply with at least one predefined standard, regulation and/or requirement. In at least some embodiments of the present invention, the method comprises the steps of: 1) automatically or manually gathering information pertaining to the system (102), 2) selecting one or more requirements with which the system is to comply (102); 3) testing the system against the requirements (104); 4) performing risk assessment of the failed test procedures (106), and 5) generating certification documentation based on an assessment of the first four elements.

System, method and medium for certifying and accrediting requirements compliance

Bibliographical review on cyber attacks from a control oriented perspective

The major objective of this paper is to develop the network security modeling and cyber attack simulation that is able to classify threats, specify attack mechanisms, verify protection mechanisms, and evaluate consequences. To do this, we have employed the advanced modeling and simulation concepts such as System Entity Structure / Model Base framework, DEVS (Discrete Event System Specification) formalism, and experimental frame concept underlying the object-oriented S/W environment. Our approach is to show the difference from others in that (i) it supports a hierarchical and modular modeling environment, (ii) it generates the command-level behavior of cyber attack scenario, (iii) it provides an efficient model building environment based on the experimental frame concept, and (iv) it supports the vulnerability analysis of given node on the network. Simulation test performed on sample network system will illustrate our techniques.

Network Security Modeling and Cyber Attack Simulation Methodology

Summary Nowadays, more stringent compliance regulations, businesses of all sizes are required to implement security measures to ensure their systems and data are readily available and quickly recoverable. Virtualized clustering is inherently designed for maximum data integrity and minimal recovery time in the case of site failure. Virtualization allows multiple operating system instances to run concurrently on a single physical machine. In this paper, we present a technique that can increase availability of application servers through the use of virtualization, clustering and software rejuvenation. Using analytical modeling, we analyze multiple design choices when a single physical server and dual physical servers are used to host multiple virtual machines. Analysis results are included to show the performance of the proposed method. By integrating virtualization, clustering and software rejuvenation, it is possible to benefit from increased availability, manageability and savings from server consolidation through virtualization without decreasing uptime of critical services.

/pdf/availability-modeling-and-analysis-on-virtualized-clustering-2s3dqy5xmo.pdf

Availability Modeling and Analysis on Virtualized Clustering with Rejuvenation

A network security simulation system. The network security simulation system is capable of analyzing a hacking procedure through a simulation on a network. The network security simulation system is based on a component model base which librarizes each component of a network system as an object. The network system which is an analysis target can be freely designed based on the library. At least one attacker node and at least one target node are set in the designed network system. Hacking commands are transmitted from the attacker node to a target node through various components of the network system to change a state of the target node. The changed target node state is analyzed by a result analysis unit and then provided to a user.

Network security simulation system

The phenomenon that the state of software degrades with time is known as software aging. The primary method to fight aging is software rejuvenation. This paper presents new ways of effective software rejuvenation using virtualization for addressing software aging. This new approach is meant to be the less disruptive as possible for the running service and to get a zero downtime in most of the cases. We construct the state transition models to describe the behaviors of virtualized and non- virtualized application server. We map through the rejuvenation actions to this transition model with stochastic process and express availability, downtime and downtime costs in terms of the parameters in our models. Our results show that virtualization and software rejuvenation can be used to prolong the availability of the services.

Improving Fault Tolerance by Virtualization and Software Rejuvenation

This paper proposes the variable chromosome genetic algorithm (VCGA) for structure learning in neural networks. Currently, the structural parameters of neural networks, i.e., number of neurons, coupling relations, number of layers, etc., have mostly been designed on the basis of heuristic knowledge of an artificial intelligence (AI) expert. To overcome this limitation, in this study evolutionary approach (EA) has been utilized to automatically generate the proper artificial neural network (ANN) structures. VCGA has a new genetic operation called a chromosome attachment. By applying the VCGA, the initial ANN structures can be flexibly evolved toward the proper structure. The case study applied to the typical exclusive or (XOR) problem shows the feasibility of our methodology. Our approach is differentiated with others in that it uses a variable chromosome in the genetic algorithm. It makes a neural network structure vary naturally, both constructively and destructively. It has been shown that the XOR problem is successfully optimized using a VCGA with a chromosome attachment to learn the structure of neural networks. Research on the structure learning of more complex problems is the topic of our future research.

Variable Chromosome Genetic Algorithm for Structure Learning in Neural Networks to Imitate Human Brain

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