scholarly journals Attacker Behaviour Forecasting Using Methods of Intelligent Data Analysis: A Comparative Review and Prospects

Information ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 168 ◽  
Author(s):  
Elena Doynikova ◽  
Evgenia Novikova ◽  
Igor Kotenko
Keyword(s):  
Data Analysis ◽  
Early Detection ◽  
Financial Support ◽  
Intelligent Data Analysis ◽  
Cyber Threats ◽  
Comparative Review ◽  
Timely Response ◽  
Definition Of ◽  
Attribution Process ◽  
Security Incidents

Early detection of the security incidents and correct forecasting of the attack development is the basis for the efficient and timely response to cyber threats. The development of the attack depends on future steps available to the attackers, their goals, and their motivation—that is, the attacker “profile” that defines the malefactor behaviour in the system. Usually, the “attacker profile” is a set of attacker’s attributes—both inner such as motives and skills, and external such as existing financial support and tools used. The definition of the attacker’s profile allows determining the type of the malefactor and the complexity of the countermeasures, and may significantly simplify the attacker attribution process when investigating security incidents. The goal of the paper is to analyze existing techniques of the attacker’s behaviour, the attacker’ profile specifications, and their application for the forecasting of the attack future steps. The implemented analysis allowed outlining the main advantages and limitations of the approaches to attack forecasting and attacker’s profile constructing, existing challenges, and prospects in the area. The approach for attack forecasting implementation is suggested that specifies further research steps and is the basis for the development of an attacker behaviour forecasting technique.

Facet Theory

1998 ◽  
Vol 3 (1) ◽  
pp. 13-36 ◽  
Author(s):  
Ruth Guttman ◽  
Charles W. Greenbaum
Keyword(s):  
Data Analysis ◽  
Animal Behavior ◽  
Infant Development ◽  
Facet Theory ◽  
Structural Relationships ◽  
Future Challenges ◽  
Spatial Configurations ◽  
Multidimensional Methods ◽  
Definition Of ◽  
Scalogram Analysis

This article gives an overview of Facet Theory, a systematic approach to facilitating theory construction, research design, and data analysis for complex studies, that is particularly appropriate to the behavioral and social sciences. Facet Theory is based on (1) a definitional framework for a universe of observations in the area of study; (2) empirical structures of observations within this framework; (3) a search for correspondence between the definitional system and aspects of the empirical structure for the observations. The development of Facet Theory and Facet Design is reviewed from early scale analysis and the Guttman Scale, leading to the concepts of “mapping sentence,” “universe of content,” “common range,” “content facets,” and nonmetric multidimensional methods of data analysis. In Facet Theory, the definition of the behavioral domain provides a rationale for hypothesizing structural relationships among variables employed in a study. Examples are presented from various areas of research (intelligence, infant development, animal behavior, etc.) to illustrate the methods and results of structural analysis with Smallest Space Analysis (SSA), Multidimensional Scalogram Analysis (MSA), and Partial Order Scalogram Analysis (POSA). The “radex” and “cylindrex” of intelligence tests are shown to be outstanding examples of predicted spatial configurations that have demonstrated the ubiquitous emergence of the same empirical structures in different studies. Further examples are given from studies of spatial abilities, infant development, animal behavior, and others. The use of Facet Theory, with careful construction of theory and design, is shown to provide new insights into existing data; it allows for the diagnosis and discrimination of behavioral traits and makes the generalizability and replication of findings possible, which in turn makes possible the discovery of lawfulness. Achievements, issues, and future challenges of Facet Theory are discussed.

Pedagang Kaki Lima, Profil Entrepreneurship Sejati, Pelaku Ekonomi Kerakyatan, Ciptakan Jiwa Kewirausahaan Mandiri

2019 ◽  
Vol 20 (1) ◽  
pp. 30-35
Author(s):  
Agus Prasetya
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Display ◽  
Job Seekers ◽  
Street Vendor ◽  
Street Vendors ◽  
The Social ◽  
Collection Data ◽  
Definition Of ◽  
Depth Interviews

This article is motivated by the fact that the existence of the Street Vendor (PKL) profession is a manifestation of the difficulty of work and the lack of jobs. The scarcity of employment due to the consideration of the number of jobs with unbalanced workforce, economically this has an impact on the number of street vendors (PKL) exploding ... The purpose of being a street vendor is, as a livelihood, making a living, looking for a bite of rice for family, because of the lack of employment, this caused the number of traders to increase. The scarcity of jobs, causes informal sector migration job seekers to create an independent spirit, entrepreneurship, entrepreneurship, with capital, managed by traders who are true populist economic actors. The problems in street vendors are: (1) how to organize, regulate, empower street vendors in the cities (2) how to foster, educate street vendors, and (3) how to help, find capital for street vendors (4) ) how to describe grief as a Five-Foot Trader. This paper aims to find a solution to the problem of street vendors, so that cases of conflict, cases of disputes, clashes of street vendors with Satpol PP can be avoided. For this reason, the following solutions must be sought: (1) understanding the causes of the explosions of street vendors (2) understanding the problems of street vendors. (3) what is the solution to solving street vendors in big cities. (4) describe Street Vendors as actors of the people's economy. This article is qualitative research, the social paradigm is the definition of social, the method of retrieving observational data, in-depth interviews, documentation. Data analysis uses Interactive Miles and Huberman theory, with stages, Collection Data, Display Data, Data Reduction and Vervying or conclusions.

scholarly journals Cardiotoxic effects and myocardial injury: the search for a more precise definition of drug cardiotoxicity

2021 ◽  
Vol 59 (1) ◽  
pp. 51-57
Author(s):  
Daniela Maria Cardinale ◽  
Martina Zaninotto ◽  
Carlo Maria Cipolla ◽  
Claudio Passino ◽  
Mario Plebani ◽  
...  
Keyword(s):  
Early Detection ◽  
Myocardial Injury ◽  
Randomized Clinical Trials ◽  
Imaging Techniques ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Cardiac Imaging Techniques ◽  
Ventricular Ejection Fraction ◽  
Early Evaluation ◽  
Definition Of

AbstractDrug-induced cardiotoxicity is a major clinical problem; cardiotoxic drugs may induce both cardiac dysfunction and myocardial injury. Several recent studies reported that cardiac troponins measured with high-sensitivity methods (hs-cTn) can enable the early detection of myocardial injury related to chemotherapy or abuse of drugs that are potentially cardiotoxic. Several authors have some concerns about the standard definition of cardiotoxicity, in particular, regarding the early evaluation of chemotherapy cardiotoxicity in cancer patients. Several recent studies using the hs-cTn assay indicate that myocardial injury may precede by some months or years the diagnosis of heart failure (HF) based on the evaluation of left ventricular ejection fraction (LVEF). Accordingly, hs-cTn assay should considered to be a reliable laboratory test for the early detection of asymptomatic or subclinical cardiotoxic damage in patients undergoing cancer chemotherapy. In accordance with the Fourth Universal Definition of Myocardial Infarction and also taking into account the recent experimental and clinical evidences, the definition of drug-cardiotoxicity should be updated considering the early evaluation of myocardial injury by means of hs-cTn assay. It is conceivable that the combined use of hs-cTn assay and cardiac imaging techniques for the evaluation of cardiotoxicity will significantly increase both diagnostic sensitivity and specificity, and also better prevent chemotherapy-related left ventricular (LV) dysfunction and other adverse cardiac events. However, large randomized clinical trials are needed to evaluate the cost/benefit ratio of standardized protocols for the early detection of cardiotoxicity using hs-cTn assay in patients receiving chemotherapy for malignant diseases.

Intelligent data analysis for wellbeing monitoring

2005 ◽  
Author(s):  
B. Majeed ◽  
T. Martin ◽  
N. Clarke ◽  
Beum-Seuk Lee
Keyword(s):  
Data Analysis ◽  
Intelligent Data Analysis

scholarly journals A Summary of F-Transform Techniques in Data Analysis

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1771
Author(s):  
Ferdinando Di Martino ◽  
Irina Perfilieva ◽  
Salvatore Sessa
Keyword(s):  
Data Analysis ◽  
Analysis Data ◽  
High Dimensional ◽  
Sufficient Data ◽  
Fuzzy Transform ◽  
Transform Method ◽  
Data Density ◽  
Fuzzy Partitions ◽  
Definition Of ◽  
Performance Results

Fuzzy transform is a technique applied to approximate a function of one or more variables applied by researchers in various image and data analysis. In this work we present a summary of a fuzzy transform method proposed in recent years in different data mining disciplines, such as the detection of relationships between features and the extraction of association rules, time series analysis, data classification. After having given the definition of the concept of Fuzzy Transform in one or more dimensions in which the constraint of sufficient data density with respect to fuzzy partitions is also explored, the data analysis approaches recently proposed in the literature based on the use of the Fuzzy Transform are analyzed. In particular, the strategies adopted in these approaches for managing the constraint of sufficient data density and the performance results obtained, compared with those measured by adopting other methods in the literature, are explored. The last section is dedicated to final considerations and future scenarios for using the Fuzzy Transform for the analysis of massive and high-dimensional data.

scholarly journals Geophysical surveys integrated with rainfall data analysis for the study of soil piping phenomena occurred in a densely urbanized area in eastern Sicily

2021 ◽  
Author(s):  
Graziano Patti ◽  
Sabrina Grassi ◽  
Gabriele Morreale ◽  
Mauro Corrao ◽  
Sebastiano Imposa
Keyword(s):  
Data Analysis ◽  
Land Use Planning ◽  
Urban Areas ◽  
Rainfall Data ◽  
Soil Subsidence ◽  
Hydrogeological Characteristics ◽  
Geophysical Surveys ◽  
Soil Piping ◽  
Definition Of ◽  
Surface Collapse

AbstractThe occurrence of strong and abrupt rainfall, together with a wrong land use planning and an uncontrolled urban development, can constitute a risk for infrastructure and population. The water flow in the subsoil, under certain conditions, may cause underground cavities formation. This phenomena known as soil piping can evolve and generate the surface collapse. It is clear that such phenomena in densely urbanized areas represent an unpredictable and consistent risk factor, which can interfere with social activities. In this study a multidisciplinary approach aimed to obtain useful information for the mitigation of the risks associated with the occurrence of soil piping phenomena in urban areas has been developed. This approach is aimed at defining the causes of sudden soil subsidence events, as well as the definition of the extension and possible evolution of these instability areas. The information obtained from rainfall data analysis, together with a study of the morphological, geological and hydrogeological characteristics, have allowed us to evaluate the causes that have led to the formation of soil pipes. Furthermore, performance of 3D electrical resistivity surveys in the area affected by the instability have allowed us to estimate their extension in the subsoil and identifying the presence of further areas susceptible to instability.

Estimation of Failure Probability and its Applications in Reliability Data Analysis

2010 ◽  
Vol 118-120 ◽  
pp. 601-605
Author(s):  
Han Ming
Keyword(s):  
Parameter Estimation ◽  
Data Analysis ◽  
Bayesian Estimation ◽  
Failure Probability ◽  
Evaluation Method ◽  
Estimation Method ◽  
New Method ◽  
Reliability Parameter ◽  
Hierarchical Bayesian Estimation ◽  
Definition Of

Evaluation method of reliability parameter estimation needs to be improved effectively with the advance of science and technology. This paper develops a new method of parameter estimation, which is named E-Bayesian estimation method. In the case one hyper-parameter, the definition of E-Bayesian estimation of the failure probability is provided, moreover, the formulas of E-Bayesian estimation and hierarchical Bayesian estimation, and the property of E-Bayesian estimation of the failure probability are also provided. Finally, calculation on practical problems shows that the provided method is feasible and easy to perform.

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