Critical Information Infrastructures Security Modeling

The paper discusses the modeling of various aspects of the security of critical information infrastructures (CII) in the assumption of creating a reference model of CII security in the future. The features of CII in terms of goals and safety criteria based on the analysis of various regulatory and methodically established definitions and descriptions of CII are established. The contradictions arising in the attempts to use the traditional methodology of information security in relation to CII are shown. The problems of using the methods and models of classical risk analysis are discussed, in particular, the impossibility of applying the concept of residual risk to the formation of CII safety objectives. The conclusion is made about the expediency of basing these goals on the exhaustion of possible protective measures (controls and activities), the concept of asymptotic safety management of CII , which guarantees the trend of security growth without its current assessment. Changes in the role and place of the threat model in ensuring the security of CII related to the lack of evidence of the completeness of this model are considered. The attractiveness of using the SDL technique for forming elements of the threat model in the conditions of a specific CII is indicated. The structure of the future reference model of safety of the CII including definition of the purposes and criteria of safety (including functional), multilevel static model of functioning of the CII (including security factors), a dynamic model of the spread of security incidents within the CII, the typology of the result of aggressive manifestations of the CII functioning environment (threat model) and the model (methodology) of the spread of protective activities within the information infrastructure

MITIGATING SPATIAL DISPROPORTIONS IN AGRICULTURE THROUGH REVEALING COMPETITIVE ADVANTAGES

Spatial development of agriculture has always been among the core agendas of food security. Amid the increased volatility of food markets globally, low diversification of agricultural production depresses competitiveness and flexibility of farmers. To narrow spatial development gaps, the study presents the five-stage approach to revealing territory-specific competitive advantages in producing nine categories of agricultural products. The data is collected across all administrative territories of Russia categorized according to the cadastral value of farmland. The revealed mismatches between the parameters of food self-sufficiency, productivity of crops, and profitability of farmers show that agricultural policy should aim at stimulating production of competitive products with due account to the spatial features of agriculture to ensure the highest return per unit of inputs along with adequate accessibility of staples for consumers. Determining proportions in which agricultural facilities should be allocated across territories would allow governments to tailor the resource provision programs, including subsidies to territories, agricultural sectors, and individual producers

Summer student report for the project Minijets (MPI) analysis in the pp collisions at 13 TeV

Particle pair yields per trigger particle, obtained from two-particle correlation function, are studied as a function of charged particle event multiplicity in ALICE data for pp collisions at 13 TeV from 2015. Studies are performed for several (\ptmin,\ \ptmax) ranges. The results are compared to the existing ALICE measurements for pp collision at 7TeV

DEVELOPMENT AND INVESTIGATION OF ALGORITHMIC FACILITIES AND SOFTWARE FOR DESIGN METHODS OF INTEGRATED NETWORK SYSTEMS

The aim is to develop and investigate the algorithmic facilities and software for design methods of the integrated network systems. The procedures and algorithms for design of the network system productivity indices have been developed. The scientific work results have been taken as a base of the software package for analysis of the network systems according to the dispersion and middle service time. The software package has been used in the Research Institute of Network Equipment and has been introduced into the educational process of the Moscow Technical University of Communication and Computer Science and Moscow Commercial University. The introduction of work results decreases the design time 2-10 times. It is recommended to use the investigation results at designing of the complex network systemsAvailable from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURussian Federatio

Critical Information Infrastructures Monitoring Based on Software-Defined Networks

The paper deals with the problem of control of critical information infrastructures (CII) in order to ensure information security and functional reliability. It is proved that safety in such systems primarily affects the availability - that is, ensuring and maintaining the functionality and performance of all components of the CII. In second place is usually integrity, and the lowest priority is given to confidentiality. It is proposed to universalize monitoring information and telecommunication base of the CII. Software-defined networks (SDN) are considered as such base. Such monitoring will allow monitoring the state of the functionality of the information technology base of the CII objects and also to detect various violations of the functionality and anomalies in the operation of the information system and control systems. The monitoring protocols of traditional networks (NetFlow, sFlow) and SDN (OpenFlow) are compared. The analysis shows that the SDN switch can export NetFlow or sFlow data for later analysis. The scheme of the two-level sensor by means of the switch of the SDN and separate specialized devices is offered. It is assumed that these sensors can analyze parameters already for L2-L7 levels, such as DPI or DLP systems.Not only can the methodology and capabilities of IDS and IPS be used in the SDN, but based on the analysis of the data obtained, the network can be centrally reprogrammed to repel malicious attacks and restore functionality. This can make CII significantly more resistant to various failures, failures and malicious attacks

Evaluación del efecto prebiótico del aguamiel de maguey (Agave salmiana) en Lactobacillus delbrueckii subsp. Bulgaricus

Tesis (Maestro en Ciencias en Bioprocesos), Instituto Politécnico Nacional, SEPI, UPIBI, 2010, 1 archivo PDF, (75 páginas), tesis.ipn.m

Catalytic Aquathermolysis of Heavy Oil with Iron Tris(acetylacetonate): Changes of Heavy Oil Composition and <i>in Situ</i> Formation of Magnetic Nanoparticles

We investigated the influence of catalytic aquathermolysis on the composition changes of Ashal’cha heavy oil. The synergetic effect of organic solvent and an oil-soluble catalyst leads to deep conversion of resins into light components. Composition changes of resins and asphaltenes before and after aquathermolysis were investigated by proton nuclear magnetic resonance (¹H NMR), Fourier transform infrared spectroscopy (FTIR), matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS), and elemental analysis. It was shown that iron­(III) tris­(acetylacetonate) forms magnetic nanoparticles (MNPs) during aquathermolysis of heavy oil without any addition of surfactants. Composition of MNPs was determined as a mixture of hematite, magnetite, and maghemite. It turns out that obtained MNPs possess superparamagnetic properties of single-domain nanoparticles

Combination of Organic‐Based Reservoir Computing and Spiking Neuromorphic Systems for a Robust and Efficient Pattern Classification

Nowadays, neuromorphic systems based on memristors are considered promising approaches to the hardware realization of artificial intelligence systems with efficient information processing. However, a major bottleneck in the physical implementation of these systems is the strong dependence of their performance on the unavoidable variations (cycle‐to‐cycle, c2c, or device‐to‐device, d2d) of memristive devices. Recently, reservoir computing (RC) and spiking neuromorphic systems (SNSs) are separately proposed as valuable options to partially mitigate this problem. Herein, both approaches are combined to create a fully organic system based on 1) volatile polyaniline memristive devices for the reservoir layer and 2) nonvolatile parylene memristors for the SNS readout layer. This combination provides a simpler SNS training procedure compared with the formal neural networks and results in greater robustness to device variability, while ensuring the extraction and encoding of the input critical features (performed by the polyaniline reservoir) and the analysis and classification performed by the SNS layer. Furthermore, the spatiotemporal pattern recognition of the system brings us closer to the implementation of efficient and reliable brain‐inspired computing systems built with partially unreliable analog elements

Multiplicity dependence of light (anti-)nuclei production in p–Pb collisions at sNN=5.02 TeV

The measurement of the deuteron and anti-deuteron production in the rapidity range −1 < y < 0 as a function of transverse momentum and event multiplicity in p–Pb collisions at √sNN = 5.02 TeV is presented. (Anti-)deuterons are identified via their specific energy loss dE/dx and via their time-of- flight. Their production in p–Pb collisions is compared to pp and Pb–Pb collisions and is discussed within the context of thermal and coalescence models. The ratio of integrated yields of deuterons to protons (d/p) shows a significant increase as a function of the charged-particle multiplicity of the event starting from values similar to those observed in pp collisions at low multiplicities and approaching those observed in Pb–Pb collisions at high multiplicities. The mean transverse particle momenta are extracted from the deuteron spectra and the values are similar to those obtained for p and particles. Thus, deuteron spectra do not follow mass ordering. This behaviour is in contrast to the trend observed for non-composite particles in p–Pb collisions. In addition, the production of the rare 3He and 3He nuclei has been studied. The spectrum corresponding to all non-single diffractive p-Pb collisions is obtained in the rapidity window −1 < y < 0 and the pT-integrated yield dN/dy is extracted. It is found that the yields of protons, deuterons, and 3He, normalised by the spin degeneracy factor, follow an exponential decrease with mass number