Analytical Assessment of Security Level of Distributed and Scalable Computer Systems

Hu, Zhengbing; Mukhin, Vadym; Kornaga, Yaroslav; Lavrenko, Iaroslav; Барабаш, Олег; Herasymenko, Oksana

doi:10.5815/ijisa.2016.12.07

Cited by 12 publications

(6 citation statements)

References 12 publications

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“…Information security systems are of great importance for business organizations as they become the main key to planning and management in modern enterprises to endure the safety, availability, and confidentiality of information [6,7]. The internal and external security threats made the international organizations seek to adopt specific security policy standards that draw up an integrated policy to put the concept of information security into practice at institutions, from analysis of risks to the application of security controls to minimize these risks [8,9].…”

Section: A Information Security Assessment: Standards and Modelsmentioning

confidence: 99%

“…Calculate consistency index (CI) and consistency ratio (CR) to determine the consistency level from each expert. Aggregate the pairwise comparison matrices of experts by using the fuzzy geometric mean method of Buckley (6) to take the average values to obtain the combined comparison matrix for the whole group of experts. The local weight vector of factors is determined by using formulas (7) to (9).…”

Section: The Proposed Model For Measuring Ismimentioning

confidence: 99%

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Measuring the Information Security Maturity of Enterprises under Uncertainty Using Fuzzy AHP

Nasser¹,

Al-Khulaidi²,

Aljober³

2018

IJITCS

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Generally, measuring the Information Security maturity(ISM) is the first step to build a new knowledge information security management system in an organization. Knowing the ISM level helps organizations decide the type of protection strategies and policies will be taken and their priorities to strengthen their competitive ability. One of the possible ways to solve the problem is a using multiple criteria decision-making (MCDM) methodology. Analytic hierarchy process (AHP) is one of the most commonly used MCDM methods, which combines subjective and personal preferences in the information security assessment process. However, the AHP involves human subjectivity, which introduces vagueness type of uncertainty and requires the use of decision-making under those uncertainties. In this paper, the IS maturity is based on hierarchical multilevel information security gap analysis model for ISO 27001:2013 security standard. The concept of fuzzy set is applied to Analytic Hierarchical Process (AHP) to propose a model for measuring organizations IS maturity under uncertain environment. Using fuzzy AHP approach helps determine more efficiently importance weights of factors and indicators, especially deal with imprecise and uncertain expert comparison judgments. A case study is used to illustrate the better new method for IS evaluation.

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Section: A Information Security Assessment: Standards and Modelsmentioning

confidence: 99%

Section: The Proposed Model For Measuring Ismimentioning

confidence: 99%

Measuring the Information Security Maturity of Enterprises under Uncertainty Using Fuzzy AHP

Nasser¹,

Al-Khulaidi²,

Aljober³

2018

IJITCS

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“…Studies in [10] showed that increase in the reliability of diagnosis D can be achieved by definition (or assignment) of correct subset of nodes…”

Section: Abstract: Wireless Sensor Network Characteristic Number Dementioning

confidence: 99%

Diagnostic model of wireless sensor network based on the random test of checks

Барабаш¹,

Лукова-Чуйко²,

Musienko³

et al. 2018

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Introduction. Wireless sensor networks are increasingly penetrating every year in all industries and fields of activity. Currently, they are widely used not only for data collection and processing and management of industrial sites but also in normal life as Internet of Things [1]. Wireless sensor network has ceased to be the only object of research and becomes a mass product that is produced by many manufacturers.Existing and projected wireless sensor networks are different as areas of application, as technical solutions used to [2]. Nonetheless, it is identify the main characteristics that are typical of most wireless systems. Typical wireless sensor network consists of a large number of simple devices or nodes to gather information, some more complex devices -coordinators for information processing and network control and data channels. Each node performs periodic measurements, primary processing of information and transfer these data to the coordinator. In the coordinate data is processed and stored, and if necessary, transferred to a higher level or to another system. Nodes can transmit measured information not only directly to the coordinator but, if necessary, through other intermediate nodes. Typical scenarios of using wireless sensor networks impose certain restrictions on the structure and operation of the nodes. In particular, the nodes should be smallsized, cheap enough and have a very long battery life. Consequently, the nodes have energy and computational limitations that should be considered by the designing networks. Coordinators perform functions other than nodes and, for this reason, often have more powerful processors, more memory and better sources of independent power. It should be noted, that the specific network provides data transmission from the node to the coordinator through one or more intermediate nodes. At the same time, there are important technical condition monitoring and timely recovery of individual sensor network nodes.

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“…The increase in the number of users of such systems leads to the fact that DCS are constantly increasing in scale. In addition, such systems are designed to serve simultaneously a large number of users, which requires efficient resource control techniques in such systems [1,2].…”

Section: Introductionmentioning

confidence: 99%

Distributed Computer System Resources Control Mechanism Based on Network-Centric Approach

Hu¹,

Mukhin²,

Kornaga³

et al. 2017

IJISA

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In this paper, we present the development of a decentralized mechanism for the resources control in a distributed computer system based on a network-centric approach. Intially, the network-centric approach was proposed for the military purposes, and now its principles are successfully introduced in the other applications of the complex systems control. Due to the features of control systems based on the network-centric approach, namely adding the horizontal links between components of the same level, adding the general knowledge control in the system, etc., there are new properties and characteristics. The concept of implementing of resource control module for a distributed computer system based on a network-centric approach is proposed in this study. We, basing on this concept, realized the resource control module and perform the analysis of its operation parameters in compare with resource control modules implemented on the hierarchical approach and on the decentralized approach with the creation of the communities of the computing resources. The experiments showed the advantages of the proposed mechanism for resources control in compare with the control mechanisms based on the hierarchical and decentralized approaches.One of the main components of resource control system (RCS) of DCS is a scheduler which coordinates the solution of the tasks that arrive for processing to the distributed system by placing them on available computing resources [7]. It is important to meet the requirements of the user and to avoid the idles for the computational resources [8]. In [7] there are identified the following key characteristics of the DCS scheduler: the run time of the task, DCS performance and the response time of the system.In recent years, there was devoted much attention to the study of decentralized resource control techniques for the distributed computer systems to improve the performance of the DCS in the context of its scalability and reliability [9]. In [9] are described the comparative analysis of the existing decentralized distributed computer systems and the mechanisms that are used for resource control. This study contains a comparative analysis of mechanisms of resource control of DCS in different contexts.Additionally, [10,11,12] presents more recent developments of DCS resources control systems, that are implemented on a decentralized basis.The development in [11] uses the exchanges of network messages between DCS compute nodes for the organization of distributed computing. The messages of several types come, each of which provides a specific functions of the algorithm for the resources allocation. This planning framework supports several heuristic algorithms and it also provides the load balancing for the DCS nodes.In [12] there is considered the DCS, which consists of heterogeneous computing elements (CE), which are interconnected by a computer network. In addition to CE, the system has passive nodes, the so-called "Bulletin boards", which are used to allocate users tasks and to collect some service in...

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Analytical Assessment of Security Level of Distributed and Scalable Computer Systems

Cited by 12 publications

References 12 publications

Measuring the Information Security Maturity of Enterprises under Uncertainty Using Fuzzy AHP

Measuring the Information Security Maturity of Enterprises under Uncertainty Using Fuzzy AHP

Diagnostic model of wireless sensor network based on the random test of checks

Distributed Computer System Resources Control Mechanism Based on Network-Centric Approach

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