INFORMATION SECURITY AUDITOR BASED ON ARTIFICIAL INTELLIGENCE-PRACTICAL IMPLEMENTATION EXPERIENCE

2020 ◽  
pp. 365-374
Author(s):  
Петр Юрьевич Филяк ◽  
Александр Николаевич Ермолин ◽  
Максим Алексеевич Корецкий ◽  
Александр Григорьевич Остапенко ◽  
Вера Николаевна Кострова
Keyword(s):  
Artificial Intelligence ◽  
Information Security ◽  
Practical Implementation ◽  
Complete Replacement ◽  
Software And Hardware ◽  
Human Thinking ◽  
Management Functions ◽  
The Brain ◽  
Implementation Experience ◽  
Sequential Implementation

Искусственный интеллект (Artificial Intelligence - AI) в настоящее время это уже не просто модное название и словосочетание, а система мышления (когнитивная система), моделирующая работу головного мозга, мышления и принятия им целого спектра решений, в том числе и управленческих. Искусственный интеллект - реализуемая с помощью программно-аппаратного обеспечения и использующая разнообразный набор типов интерфейсов и их сочетаний, позволяющих осуществлять практически полноценную замену традиционно используемых человеческих мыслительных и управленческих функций для решения как теоретических, так и практических задач, начиная от простых, легко структурируемых задач и вплоть до задач, характеризующихся неопределенностью. В статье рассмотрены этапы последовательной реализации искусственного интеллекта. Приведен пример создания навыка для голосового ассистента на языке PHP. Artificial intelligence (AI) is now not just a fashionable name and phrase, but a thinking system (cognitive system) that simulates the work of the brain, thinking and making a whole range of decisions, including managerial ones. Artificial intelligence - implemented with the help of software and hardware and using a diverse set of interface types and their combinations, allowing for almost complete replacement of traditionally used human thinking and management functions for solving both theoretical and practical tasks, ranging from simple, easily structured tasks and up to tasks characterized by uncertainty. The article discusses the stages of the sequential implementation of artificial intelligence. An example of creating a skill for a voice assistant in PHP is given.

ABOUT ENSURING INFORMATION SECURITY BASED ON THE USE OF ARTIFICIAL INTELLIGENCE

2020 ◽  
pp. 379-388
Author(s):  
Петр Юрьевич Филяк ◽  
Александр Николаевич Ермолин ◽  
Максим Алексеевич Корецкий ◽  
Александр Григорьевич Остапенко ◽  
Вера Николаевна Кострова
Keyword(s):  
Artificial Intelligence ◽  
Information Security ◽  
External Environment ◽  
Practical Implementation ◽  
Scope Of Application ◽  
Software And Hardware ◽  
The Creation ◽  
Voice Interface

В статье представлены подходы к решению проблем обеспечения информационной безопасности на основе использования искусственного интеллекта с позиций возможности реализации на практике вариантов воплощения программной и аппаратной частей потенциального функционала искусственного интеллекта в данной сфере. В статье рассмотрены вопросы обучения и интерфейса искусственного интеллекта с внешней средой. Обсуждается создание навыков голосового интерфейса для искусственного интеллекта. Представлен анализ категории «Искусственный интеллект» и приведена последовательность «подготовительных» действий, необходимых для практической реализации каких-либо управленческих функций человека, независимо от сферы применения, на основе искусственного интеллекта. The article presents approaches to solving the problems of ensuring information security based on the use of artificial intelligence from the standpoint of the possibility of realizing in practice the options for implementing the software and hardware parts of the potential functionality of artificial intelligence in this area. The article discusses the issues of training and the interface of artificial intelligence with the external environment. The creation of voice interface skills for artificial intelligence is discussed. An analysis of the category "Artificial Intelligence" is presented and a sequence of "preparatory" actions necessary for the practical implementation of any managerial functions of a person, regardless of the scope of application, based on artificial intelligence is presented.

scholarly journals Cognitive Information Systems for Protection of Museum Complexes

2018 ◽  
Vol 7 (4.38) ◽  
pp. 82
Author(s):  
Aleksey Valentinovich Bogdanov ◽  
Igor Gennadievich Malygin
Keyword(s):  
Artificial Intelligence ◽  
Information Systems ◽  
Information Security ◽  
Security System ◽  
Structural Scheme ◽  
Cognitive Information ◽  
Technological Platform ◽  
Network Technologies ◽  
Cognitive Information Systems ◽  
Stratified Model

The paper considers the conceptual provisions of building a promising cognitive information security system of the museum complex on a cyber-physical basis. The stratified model of cognitive information security system of the museum complex was presented. It was shown that the key technological platform for the security of the museum complex is information and network technologies integrated (converged) with the technologies of industrial artificial intelligence. The generalized structural scheme of the cognitive cycle of the information security system of the museum complex was considered. The characteristic of the basic processes realized in a cognitive contour was given.   

Adaptive Slicing for Fused Deposition Modeling and Practical Implementation Schemes

2012 ◽  
Vol 428 ◽  
pp. 137-140 ◽  
Author(s):  
Sarat Singamneni ◽  
Roger Anak Joe ◽  
Bin Huang
Keyword(s):  
Fused Deposition Modeling ◽  
Practical Implementation ◽  
Adaptive Slicing ◽  
Air Gaps ◽  
Fused Deposition ◽  
Heterogeneous Structures ◽  
Rapid Product Development ◽  
Deposition Modeling ◽  
Software And Hardware ◽  
Traditional Approaches

Fused Deposition Modeling (FDM) is one of the most popular Rapid Prototyping (RP) techniques. Initially used as means of producing 3D prototypes aiding in rapid product development, FDM found a significant application in medical models and with machine and material improvements is currently destined to be a true manufacturing process, challenging some of the traditional approaches. The material characteristics and part qualities however, are inferior, considering the heterogeneous structures characterized by the air gaps resulting from raster orientations. Current research is focused on improving the mesostructure through appropriate deposition schemes, adaptive slicing being one of the approaches. This paper reviews some of the adaptive slicing schemes and discusses software and hardware developments undertaken for the practical implementation of one of the schemes for producing test parts.

Transfer of consciousness. Considering its possibility or fantasy from the religious and scientific perspectives

DIALOGO ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 189-200
Author(s):  
Tudor-Cosmin Ciocan ◽  
Any Docu Axelerad ◽  
Maria CIOCAN ◽  
Alina Zorina Stroe ◽  
Silviu Docu Axelerad ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Eternal Life ◽  
Human Consciousness ◽  
Religious Believer ◽  
Actual Knowledge ◽  
Holistic Understanding ◽  
The World ◽  
The Subject ◽  
Human Feature ◽  
The Brain

Ancient beliefs such as astral projection, human possession, abduction and other similar are not only universal, taught by all religions, but also used as premises for core believes/expectations, such as after-life, eternal damnation, reincarnation, and many others. Transferring Consciousness to a Synthetic Body is also a feature of interest in our actual knowledge, both religious as for science. If immortality were an option, would you take it into consideration more seriously? Most people would probably dismiss the question since immortality isn’t a real deal to contract. But what if having eternal life was a possibility in today’s world? The possibility of the transfer of human consciousness to a synthetic body can soon become a reality, and it could help the world for the better. Thus, until recently, the subject was mostly proposed by religion(s) and saw as a spiritual [thus, not ‘materially real’ or ‘forthwith accomplishable’] proposal therefore not really fully engaged or trust if not a religious believer. Now, technology is evolving, and so are we. The world has come to a point where artificial intelligence is breaking the boundaries of our perception of human consciousness and intelligence. And with this so is our understanding about the ancient question ‘who are we?’ concerning consciousness and how this human feature sticks to our body or it can become an entity beyond the material flesh. Without being exhaustive with the theme's development [leaving enough room for further investigations], we would like to take it for a spin and see how and where the religious and neuroscience realms intersect with it for a global, perhaps holistic understanding. Developments in neurotechnology favor the brain to broaden its physical control further the restraints of the human body. Accordingly, it is achievable to both acquire and provide information from and to the brain and also to organize feedback processes in which a person's thoughts can influence the activity of a computer or reversely.

Something Old, Something New, Something Borrowed, Something Blue: Part 3 – An Elephant Never Forgets

2017 ◽  
Vol 26 (3) ◽  
pp. 433-437
Author(s):  
Mark Dougherty
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
Natural Systems ◽  
European Court ◽  
New Knowledge ◽  
The Right ◽  
Contextual Environment ◽  
The Brain ◽  
Index Services ◽  
Incomplete Picture

AbstractForgetting is an oft-forgotten art. Many artificial intelligence (AI) systems deliver good performance when first implemented; however, as the contextual environment changes, they become out of date and their performance degrades. Learning new knowledge is part of the solution, but forgetting outdated facts and information is a vital part of the process of renewal. However, forgetting proves to be a surprisingly difficult concept to either understand or implement. Much of AI is based on analogies with natural systems, and although all of us have plenty of experiences with having forgotten something, as yet we have only an incomplete picture of how this process occurs in the brain. A recent judgment by the European Court concerns the “right to be forgotten” by web index services such as Google. This has made debate and research into the concept of forgetting very urgent. Given the rapid growth in requests for pages to be forgotten, it is clear that the process will have to be automated and that intelligent systems of forgetting are required in order to meet this challenge.

scholarly journals Artificial intelligence, dynamic efficiency and Economics

2021 ◽  
pp. 337-350
Author(s):  
Vincent Wolters
Keyword(s):  
Artificial Intelligence ◽  
Optimization Problems ◽  
Evolutionary Process ◽  
Human Action ◽  
Medical Doctor ◽  
Dynamic Efficiency ◽  
Demand And Supply ◽  
New Information ◽  
Back Ground ◽  
The Brain

In this work I will lend support to the theory of «dynamic efficien - cy», as outlined by Prof. Huerta de Soto in The Theory of Dynamic Efficiency (2010a). Whereas Huerta de Soto connects economics with ethics, I will take a different approach. Since I have a back-ground in Artificial Intelligence (A.I.), I will show that this and related fields have yielded insights that, when applied to the study of economics, may call for a different way of looking at the eco-nomy and its processes. At first glance, A.I. and economics do not seem to have a lot in common. The former is thought to attempt to build a human being; the latter is supposed to deal with depressions, growth, inflation, etc. That view is too simplistic; in fact there are strong similarities. First, economics is based on (inter-)acting individuals, i.e. on human action. A.I. tries to understand and simulate human (and animal) behavior. Second, economics deals with information pro-cessing, such as how the allocation of resources can best be orga-nized. A.I. also investigates information processing. This can be in specific systems, such as the brain, or the evolutionary process, or purely in an abstract form. Finally, A.I. tries to answer more philosophical questions like: what is intelligence? What is a mind? What is consciousness? Is there free will? These topics play a less prominent role in economics, but are sometimes touched upon, together with the related topic of the «entrepreneurial function». The paradigm that was dominant in the early days of A.I. is static in nature. Reaching a solution is done in different steps. First: gathering all necessary information. Second: processing this in - formation. Finally: the outcome of this process, a clear conclusion. Each step in the process is entirely separate. During information gathering no processing is done, and during processing, no new information is added. The conclusion reached is final and cannot change later on. Logical problems are what is mostly dealt with, finding ways in which a computer can perform deductions based on the information that is represented as logical statements. Other applications are optimization problems, and so-called «Expert Systems», developed to perform the work of a judge reaching a verdict, or a medical doctor making a diagnosis based on the symptoms of the patient. This paradigm is also called «top-down», because information flows to a central point where it is processed, or «symbolic processing», referring to deduction in formal logic.1 In economics there is a similar paradigm, and it is still the do-minant one. This is the part of economics that deals with opti - mization of resources: given costs and given prices, what is the allocation that will lead to the highest profit? Also belonging to this paradigm are the equilibrium models. Demand and supply curves are supposed to be knowable and unchangeable, and the price is a necessary outcome. The culmination is central planning that supposes all necessary information, such as demand and supply curves and available resources to be known. Based on this, the central planner determines prices.

scholarly journals PRACTICAL IMPLEMENTATION OF THE MODEL OF FORMATION OF CADETS' READINESS TO ENSURE INFORMATION SECURITY IN PROFESSIONAL ACTIVITIES

2021 ◽  
Vol 1 ◽  
pp. 119-129
Author(s):  
Dmitry Dvoretsky ◽  
Natalia Kolesnikova ◽  
Oksana Makarkina ◽  
Kira Lagvilava
Keyword(s):  
Information Systems ◽  
Information Security ◽  
Information Technologies ◽  
The State ◽  
Practical Implementation ◽  
Positive Trend ◽  
Pedagogical Tools ◽  
Professional Activities ◽  
Security Issues ◽  
The Stability

The mass introduction of information technologies in the activities of state structures has made it possible to transfer the efficiency of their functioning to a qualitatively new level. Unfortunately, as a means of action, they have characteristic vulnerabilities and can be used not only for good, but also for harm. For the state, as a guarantor of the stability of a civilized society, the issue of ensuring the security of information processing is particularly important. Despite the automation of many information processes, the most vulnerable link in the work of information systems remains a person. A person acts as an operator of information systems and a consumer of information. The entire service process depends on the competence of the operator and the quality of his perception. There are areas of government activity where the cost of error is particularly high. These include ensuring the life and health of citizens, protecting public order and the state system, and ensuring territorial integrity. The specifics of the spheres must be taken into account when ensuring the security of information. This study concerns official activities that are provided by paramilitary groups. Currently, there is a discrepancy in the level of competence of new personnel in the first months of service. The author traces the shortcomings of general and special professional qualities in the field of information security. The purpose of the study is to substantiate certain pedagogical means of forming cadets ' readiness to ensure information security. As forms of theoretical knowledge, we will use the traditional hypothesis and model, as well as functionally distinguishable judgments – problem, assumption, idea and principle. Empirical forms of knowledge will be observation (experimental method) and fixation of facts. To evaluate the effectiveness of the developed pedagogical tools, we use statistical methods: observation (documented and interrogated) and calculation of generalizing indicators. To formulate conclusions, we will use logical methods: building conclusions and argumentation. The approbation of certain pedagogical tools described in this article showed a significant positive trend in terms of competence in information security issues.

scholarly journals Brain-inspired model for decision-making in the selection of beneficial information patterns among signals received by an unpredictable information-development environment

2021 ◽  
Author(s):  
Alireza Asgari ◽  
yvan beauregard
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Health And Safety ◽  
Vital Role ◽  
Successful Implementation ◽  
Development Environment ◽  
Brain Functions ◽  
Operational Costs ◽  
Industrial Operations ◽  
The Brain

With its diversification in products and services, today’s marketplace makes competition wildly dynamic and unpredictable for industries. In such an environment, daily operational decision-making has a vital role in producing value for products and services while avoiding the risk of loss and hazard to human health and safety. However, it makes a large portion of operational costs for industries. The main reason is that decision-making belongs to the operational tasks dominated by humans. The less involvement of humans, as a less controllable entity, in industrial operation could also favorable for improving workplace health and safety. To this end, artificial intelligence is proposed as an alternative to doing human decision-making tasks. Still, some of the functional characteristics of the brain that allow humans to make decisions in unpredictable environments like the current industry, especially knowledge generalization, are challenging for artificial intelligence. To find an applicable solution, we study the principles that underlie the human brain functions in decision-making. The relative base functions are realized to develop a model in a simulated unpredictable environment for a decision-making system that could decide which information is beneficial to choose. The method executed to build our model's neuronal interactions is unique that aims to mimic some simple functions of the brain in decision-making. It has the potential to develop for systems acting in the higher abstraction levels and complexities in real-world environments. This system and our study will help to integrate more artificial intelligence in industrial operations and settings. The more successful implementation of artificial intelligence will be the steeper decreasing operational costs and risks.

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