Gravitational Search For Designing A Fuzzy Rule-Based Classifiers For Handwritten Signature Verification

Handwritten signatures are used in authentication systems as a universal biometric identifier. Signature authenticity verification requires building and training a classifier. This paper describes a new approach to the verification of handwritten signatures by dynamic characteristics with a fuzzy rule-based classifier. It is suggested to use the metaheuristic Gravitational Search Algorithm for the selection of the relevant features and tuning fuzzy rule parameters. The efficiency of the approach was tested with an original dataset; the type II errors in finding the signature authenticity did not exceed 0.5% for the worst model and 0.08% for the best model

Development Of An Integrated Informational Educational Environment At The Tusur University

Existing legislative and normative acts considerably increase application capabilities of various elements of electronic learning in educational process. Taking into account educational standards of the fourth generation which directly state the necessity of development of an electronic informational educational environment, the urgency of the development of such environment on the basis of available solutions has grown even more. Though the application of ready solutions 'on a turn-key basis' is an effective way of development of such environment, it remains very expensive. Within the limits of the given paper, the process of designing, development and realisation of an interactive educational environment on the basis of interaction of several free or available components on the example of the Faculty of Security at Tomsk State University of Control Systems and Radioelectronics is considered. In the given paper, the analysis of approaches to the informational educational environment development is carried out. On the basis of this analysis, the requirements to the informational educational environment are given and the development of its base structure is made. The components allowing realising all necessary functions and requirements to the development of the teaching aids used in the informational educational environment are chosen. The offered solutions allow meeting the requirements to the organisation of educational process according to educational standards of the fourth generation

An Authorship Protection Technology for Electronic Documents Based on Image Watermarking

In the field of information technology, information security technologies hold a special place. They ensure the security of the use of information technology. One of the urgent tasks is the protection of electronic documents during their transfer in information systems, including smart systems. This paper proposes a technology for protecting electronic documents containing digital images. The main idea is that the electronic document authorship can be protected by embedding digital watermarks in the images that are contained in this document. The paper considers three cases of using the proposed technology: full copying of an electronic document, copying of images contained in the document, and copying of text. It is shown that in all three cases, the authorship confirmation can be successfully implemented. Some areas of the proposed technology application are described, including augmented reality applications. Computational experiments are conducted with robust watermarking algorithms that can be used within the technology. A scenario of technology implementation is proposed which provides for the joint use of different class algorithms

Mathematical Model for Choosing Counterparty When Assessing Information Security Risks

The need to assess the risks of the trustworthiness of counterparties is increasing every year. The identification of increasing cases of unfair behavior among counterparties only confirms the relevance of this topic. The existing work in the field of information and economic security does not create a reasonable methodology that allows for a comprehensive study and an adequate assessment of a counterparty (for example, a developer company) in the field of software design and development. The purpose of this work is to assess the risks of a counterparty’s trustworthiness in the context of the digital transformation of the economy, which in turn will reduce the risk of offenses and crimes that constitute threats to the security of organizations. This article discusses the main methods used in the construction of a mathematical model for assessing the trustworthiness of a counterparty. The main difficulties in assessing the accuracy and completeness of the model are identified. The use of cross-validation to eliminate difficulties in building a model is described. The developed model, using machine learning methods, gives an accurate result with a small number of compared counterparties, which corresponds to the order of checking a counterparty in a real system. The results of calculations in this model show the possibility of using machine learning methods in assessing the risks of counterparty trustworthiness

Cognitive Model for Assessing the Security of Information Systems for Various Purposes

This article substantiates the relevance of the development of a cognitive model for assessing the security of information systems for various purposes, designed to support decision-making by officials of information security management bodies. The article analyzes scientific papers and research in this area, formulates the requirements for the functional capabilities of the model, and investigates and identifies the most appropriate modeling tools, based on the symmetry property that develops from integrated ontological and neuro-Bayesian models; typical clusters of information systems; tactics and techniques for the implementation of information security threats through the vulnerabilities of objects at various levels of the International Organization of Standardization/Open Systems Interconnection model (the ISO/OSI model); protective influences; and attacking influences. This approach allowed us to identify such objects of influence and their current vulnerabilities and scenarios for the implementation of information security threats; to calculate the joint probability distribution of information security events of various origins; and to simulate the process of operational management of information security

Cognitive Model for Assessing the Security of Information Systems for Various Purposes

This article substantiates the relevance of the development of a cognitive model for assessing the security of information systems for various purposes, designed to support decision-making by officials of information security management bodies. The article analyzes scientific papers and research in this area, formulates the requirements for the functional capabilities of the model, and investigates and identifies the most appropriate modeling tools, based on the symmetry property that develops from integrated ontological and neuro-Bayesian models; typical clusters of information systems; tactics and techniques for the implementation of information security threats through the vulnerabilities of objects at various levels of the International Organization of Standardization/Open Systems Interconnection model (the ISO/OSI model); protective influences; and attacking influences. This approach allowed us to identify such objects of influence and their current vulnerabilities and scenarios for the implementation of information security threats; to calculate the joint probability distribution of information security events of various origins; and to simulate the process of operational management of information security

Building a Fuzzy Classifier Based on Whale Optimization Algorithm to Detect Network Intrusions

The quantity of network attacks and the harm from them is constantly increasing, so the detection of these attacks is an urgent task in the information security field. In this paper, we investigate an approach to building intrusion detection systems using a classifier based on fuzzy rules. The process of creating a fuzzy classifier based on a given set of input and output data can be presented as a solution to the problems of clustering, informative features selection, and the parameters of the rule antecedents optimization. To solve these problems, the whale optimization algorithm is used. The performance of algorithms for constructing a fuzzy classifier based on this metaheuristic is estimated using the KDD Cup 1999 intrusion detection dataset. On average, the resulting classifiers have a type I error of 0.92% and a type II error of 1.07%. The obtained results are also compared with the results of other classifiers. The comparison shows the competitiveness of the proposed method

Сlassification of methods of production of computer forensic by usage approach of graph theory

Сlassification of methods of production of computer forensic by usage approach of graph theory is proposed. If use this classification, it is possible to accelerate and simplify the search of methods of production of computer forensic and this process to automatize