• 제목/요약/키워드: Security Indicator

검색결과 119건 처리시간 0.024초

Overcoming Poverty and Social Inequality in Third World Countries (Latin America, Africa)

  • Drobotya, Yana;Baldzhy, Maryna;Pecheniuk, Alla;Savelchuk, Iryna;Hryhorenko, Dmytro;Kulinich, Tetiana
    • International Journal of Computer Science & Network Security
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    • 제21권3호
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    • pp.295-303
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    • 2021
  • The relevance of the research is due to the fact that the issue of poverty is one of the most acute social problems of the beginning of the third millennium. The phenomenon of poverty is widespread in third world countries as well as it is observed in relatively developed countries. Poverty rates in Latin America are threatening. Consequently, the issue of social and economic inequality in these countries has become extremely acute. The purpose of the research: to identify the causes of poverty and social inequality and substantiate the main directions of poverty reduction in third world countries. The research methods: comparative analysis; index method; systematization; grouping; generalization. Results. The classification of the causes of poverty has been carried out and the directions of its overcoming in the countries of Latin America on groups of indicators have been defined, namely: 1) political; 2) economic; 3) demographic; 4) regional-geographical; 5) social; 6) qualification; 7) personal. Based on the Net Domestic Product indicator, a comparison of economic indicators of the studied countries has been carried out. It has been revealed that from 1990 to 2018 income inequality increased in 52 of 119 countries studied, and decreased in 57 states. Inequality has increased in the world's most populous countries, particularly China and India. In general, countries with growing inequality are home to more than two-thirds (71%) of the world's population. Trends in the distribution of income in the world have been investigated by applying the Gini index, the high level of which is observed in Latin America (Colombia 48,9%, Panama 46,1%, Chile and Mexico 45,9%). The forecast of the impact of the Covid-19 pandemic on this issue has been outlined; the ways of its impact on the economies of the countries have been studied. As a result of the study, the main directions and mechanisms of the strategy for poverty reduction and social inequality in the third world countries have been identified. The implementation of the poverty reduction strategy presented in this academic paper may have a positive impact on the economic situation of the population of Latin American countries.

Application of Information Technologies for Lifelong Learning

  • Poplavskyi, Mykhailo;Bondar, Ihor
    • International Journal of Computer Science & Network Security
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    • 제21권6호
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    • pp.304-311
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    • 2021
  • The relevance of the research involves outlining the need for modern professionals to acquire new competencies. In the conditions of rapid civilizational progress, in order to meet the requirements of the labor market in the knowledge society, there is a readiness for continuous training as an indicator of professional success. The purpose of the research is to identify the impact of various forms of application of information technologies for lifelong learning in order to provide the continuous self-development of each person without cultural or age restrictions and on the basis of rapid digital progress. A high level (96%) of need of the adult population in continuing education with the use of digital technologies has been established. The most effective ways to implement the concept of "lifelong learning" have been identified (educational camps, lifelong learning, mass open online courses, Makerspace activities, portfolio use, use of emoji, casual game, scientific research with iVR game, implementation of digital games, work in scientific cafes). 2 basic objectives of continuing professional education for adults have been outlined (continuous improvement of qualifications and obtaining new qualifications). The features of ICT application in adult education have been investigated by using the following methods, namely: flexibility in terms of easy access to ideas, solving various problems, orientation approach, functional learning, group or individual learning, integration of leisure, personal and professional activities, gamification. The advantages of application of information technologies for continuous education (economic, time, and adaptive) have been revealed. The concept of continuous adult learning in the context of digitalization has been concluded. The research provides a description of the structural principles of the concept of additional education; a system of information requests of the applicant, as well as basic technologies for lifelong learning. The research indicates the lack of comprehensive research in the relevant field. The practical significance of the research results lies in the possibility of using the obtained results for a wider acquaintance of the adult population with the importance of the application of lifelong learning for professional activities and the introduction of methods for its implementation in the educational policy of the state.

Administrative Leaders and Their Role in Bringing About Development and Organizational Change in Universities (Northern Border University Case Study)

  • Abdelrahman, Rashid Abdelbasit Saad
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.67-78
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    • 2021
  • The research aims to identify the role of administrative leaders working in universities in the success of organizational development and change, and the extent of the relationship and ability of administrative leaders at all levels of leadership within universities to the effectiveness of the process of development and organizational change at Northern Border University. In addition to presenting some recommendations and suggestions that can contribute to identifying the best leadership styles that contribute to the success of the development process and positive organizational change. Where leadership, whether in the private sector or the public sector, is one of the main functions concerned with the processes of direction, development, and modernization in the performance of the facility and an important element to activate the organizations' ability to perform their role and achieve their goals. The behavior and trends of leaders represent an important indicator in knowing the type of efforts made by them to improve performance and develop organizations and human resources. The research reached many results, perhaps the most important of which is that the dominant leadership style in universities is the democratic style, followed by the bureaucratic leadership style. The results also showed that there is a significant role for administrative leaders in bringing about development and positive change at Northern Border University at the level of individuals, groups, and organizations. And it became clear that there is an availability of leadership capabilities to an acceptable degree in the administrative leaders. The results of the statistical analysis showed a positive relationship between administrative leadership ability and democratic style. In addition to the existence of a negative relationship between the administrative leadership ability and the bureaucratic style and the freestyle. It was also clear that there were no differences in dealing between males and females, as well as age, educational qualification, experience, and job grade, but there were differences in dealing with the job title.

A New Approach for Detection of Gear Defects using a Discrete Wavelet Transform and Fast Empirical Mode Decomposition

  • TAYACHI, Hana;GABZILI, Hanen;LACHIRI, Zied
    • International Journal of Computer Science & Network Security
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    • 제22권2호
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    • pp.123-130
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    • 2022
  • During the past decades, detection of gear defects remains as a major problem, especially when the gears are subject to non-stationary phenomena. The idea of this paper is to mixture a multilevel wavelet transform with a fast EMD decomposition in order to early detect gear defects. The sensitivity of a kurtosis is used as an indicator of gears defect burn. When the gear is damaged, the appearance of a crack on the gear tooth disrupts the signal. This is due to the presence of periodic pulses. Nevertheless, the existence of background noise induced by the random excitation can have an impact on the values of these temporal indicators. The denoising of these signals by multilevel wavelet transform improves the sensitivity of these indicators and increases the reliability of the investigation. Finally, a defect diagnosis result can be obtained after the fast transformation of the EMD. The proposed approach consists in applying a multi-resolution wavelet analysis with variable decomposition levels related to the severity of gear faults, then a fast EMD is used to early detect faults. The proposed mixed methods are evaluated on vibratory signals from the test bench, CETIM. The obtained results have shown the occurrence of a teeth defect on gear on the 5th and 8th day. This result agrees with the report of the appraisal made on this gear system.

Assessment of performance of machine learning based similarities calculated for different English translations of Holy Quran

  • Al Ghamdi, Norah Mohammad;Khan, Muhammad Badruddin
    • International Journal of Computer Science & Network Security
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    • 제22권4호
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    • pp.111-118
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    • 2022
  • This research article presents the work that is related to the application of different machine learning based similarity techniques on religious text for identifying similarities and differences among its various translations. The dataset includes 10 different English translations of verses (Arabic: Ayah) of two Surahs (chapters) namely, Al-Humazah and An-Nasr. The quantitative similarity values for different translations for the same verse were calculated by using the cosine similarity and semantic similarity. The corpus went through two series of experiments: before pre-processing and after pre-processing. In order to determine the performance of machine learning based similarities, human annotated similarities between translations of two Surahs (chapters) namely Al-Humazah and An-Nasr were recorded to construct the ground truth. The average difference between the human annotated similarity and the cosine similarity for Surah (chapter) Al-Humazah was found to be 1.38 per verse (ayah) per pair of translation. After pre-processing, the average difference increased to 2.24. Moreover, the average difference between human annotated similarity and semantic similarity for Surah (chapter) Al-Humazah was found to be 0.09 per verse (Ayah) per pair of translation. After pre-processing, it increased to 0.78. For the Surah (chapter) An-Nasr, before preprocessing, the average difference between human annotated similarity and cosine similarity was found to be 1.93 per verse (Ayah), per pair of translation. And. After pre-processing, the average difference further increased to 2.47. The average difference between the human annotated similarity and the semantic similarity for Surah An-Nasr before preprocessing was found to be 0.93 and after pre-processing, it was reduced to 0.87 per verse (ayah) per pair of translation. The results showed that as expected, the semantic similarity was proven to be better measurement indicator for calculation of the word meaning.

The Formation of Managerial Competence of the Future Head of Preschool Education by Means of Information and Communication Technologies

  • Nataliia, Dudnyk;Valentyna, Kryvda;Svitlana, Popychenco;Nelia, Skrypnyk;Tetiana, Duka
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.287-299
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    • 2022
  • The article deals with the formation of managerial competence of the future head of preschool education institution by means of information and communication technology as a prerequisite for his ability to act competently and objectively evaluate actions and understand the interaction of forms and content of preschool education. The article aimed to study the effectiveness of information and communication technologies in the formation of managerial competence of the future head of preschool education institution. To achieve the objectives, the methods of comparative and systematic analysis were used to compare different views on the problem under study, namely, the formation of managerial competence of the future head of preschool education institution by means of information and communication technologies. The authors of the article determined that the use of information and communication technologies in the preparation of future heads of preschool educational institutions is of great importance and is an indicator in the structure of managerial competence. The priority directions of the use of various software products for the study of the modern Ukrainian language, methods of teaching the Ukrainian language contribute to the intensification of learning material. It is noted that the current state of development of information technologies and their widespread use in education satisfies the requirements of the objectivity of the assessment obtained the quality of the control process of forming the managerial competence of the future leader in the context of the general problems of pre-school education. It is noted that the means of information and communication technologies play a leading role in creating new educational policies and projects, as they motivate the way of access to knowledge.

근로 환경 변화를 고려한 산업재해지표 수정 방안에 관한 연구 (A Study on Modification of Industrial Accident Indicator Considering Working Environment Change)

  • 엄태수;신은택;송창근
    • 한국방재안전학회논문집
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    • 제14권4호
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    • pp.1-7
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    • 2021
  • 주5일제 실시, 인구 고령화 등으로 근로 환경이 과거에 비해 크게 바뀌었지만 빈도율, 강도율, Safe T-score와 같은 산업재해지수에는 반영되지 않고 있는 실정이다. 본 연구에서는 평균수명 증가, 근로 가능연령 상향, 근로시간 단축, 재해에 의한 사망자 평균 연령 변화 등의 시계열 동향을 파악하기 위해 통계자료를 활용하였다. 통계자료의 시계열 추이 분석 결과 인구 고령화로 인해 기대수명이 83.3세로 늘어났고, 법정 근로연령 또한 65세로 증가하였다. 그리고 2001년부터 주5일제 근로시간제가 도입되면서 연간 평균 근로시간은 2008.1시간으로 줄어들었다. 따라서 현재의 산업재해지표에서 사용되고 있는 기준과는 상당한 차이가 있었으며, 이러한 차이는 산업재해지표를 활용해 재해의 발생빈도와 산업재해로 인한 근로손실일수 등을 계산하고 그 추이를 파악하는데 큰 영향을 줄 것이라 판단된다.

32-Bit RISC-V상에서의 LEA 경량 블록 암호 GCM 운용 모드 구현 (Implementation of LEA Lightwegiht Block Cipher GCM Operation Mode on 32-Bit RISC-V)

  • 엄시우;권혁동;김현지;양유진;서화정
    • 정보보호학회논문지
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    • 제32권2호
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    • pp.163-170
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    • 2022
  • LEA는 2013년 국내에서 개발된 경량 블록암호이다. 본 논문에서는 블록 암호 운용 방식 중 CTR 운용 모드와 CTR 운용 모드를 활용하며 기밀성과 무결성을 제공하는 GCM 운용 모드의 구현을 진행한다. LEA-CTR의 최적화 구현은 CTR 운용 모드의 고정된 Nonce 값의 특성을 활용하여 사전 연산을 통한 연산 생략과 State 고정을 통해 State 간의 이동을 생략한 최적화 구현을 제안한다. 또한 제안 기법을 GCM 운용 모드에 적용 가능함을 보여주며, Galois Field(2128) 곱셈 연산을 사용하는 GHASH 함수 구현을 통해 GCM 구현을 진행한다. 결과적으로 32-bit RISC-V상에서 제안하는 기법을 적용한 LEA-CTR의 경우 기존 연구 대비 2%의 성능 향상을 확인하였으며, 추후 다른 연구에서 성능 지표로 사용될 수 있도록 GCM 운용 모드의 성능을 제시한다.

국가 사이버보안 수준 향상을 위한 GCI의 지표개선 방안 (Proposals for GCI Indicators to Improve a National Cybersecurity Level)

  • 김대경;이주현;김예영;현다은;오흥룡;진병문;염흥열
    • 정보보호학회논문지
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    • 제32권2호
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    • pp.289-307
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    • 2022
  • 국제전기통신연합(International Telecommunication Union, ITU)에서 개발한 글로벌사이버보안지수(Global Cybersecurity Index, GCI)는 국가의 사이버보안발전 수준을 진단하고, 사이버보안 역량을 강화하기 위해 활용되고 있다. 본 논문은 GCI를 분석하고, 그 효과성을 강화하기 위한 방안을 제시하고자 한다. 또한, GCI 버전1~GCI 버전4 평가지표를 사전 분석하고, SWOT 분석을 통해 발전 방안을 살펴본다. 이를 통해, GCI 개선 및 활용을 위한 기본원칙을 수립하고, GCI 버전5 설문지 관련 신규 지표를 발굴하고 제안하고자 한다. 본 논문은 GCI의 성과 분석 및 개선 방안을 위한 기초 자료로 활용 가능할 것으로 기대된다. 또한, 향후 GCI 평가에서 적용 될 보다 발전된 사전대응 지표와 사후대응 지표를 제안하여 GCI의 효과성을 높이고 국가의 사이버보안 역량을 높이는데 기여하고자 한다. 본 논문은 [1]의 연구 결과를 개선 발전시킨 것이다.

사이버 전장인식을 위한 작전상태 요소 식별 및 통합 시계열 분석 연구 (A Study on Operational Element Identification and Integrated Time Series Analysis for Cyber Battlefield Recognition)

  • 김선영;권구형;이현진;이재연;고장혁;오행록
    • 융합보안논문지
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    • 제22권4호
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    • pp.65-73
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    • 2022
  • 사이버 작전은 가상의 사이버 전장 환경에서 수행되기 때문에, 지휘관이 사이버작전의 의사결정을 효과적으로 지원하기 위해서는 사이버 환경의 현황을 일관된 형태로 평가하고 가시화할 수 있는 평가지표를 정의하고 이를 측정할 수 있는 기술의 개발이 요구된다. 본 논문에서는 사이버 전장에서 수집할 수 있는 다양한 평가지표를 정의하고 이를 정규화하는 방법과 사이버 현황을 일관된 형태로 평가할 수 있는 기술을 제안한다. 제안하는 사이버 전장 상태 요소들의 통합 시계열 분석 및 도시 기술은 최상위에 정규화된 평가지표가 있으며, 해당 지표는 사이버 자산 관련 지표, 평가 대상망 관련 지표, 사이버 위협 관련 지표로 구성되는 각각의 지표들은 6개의 하위 지표를 가진다. 해당 지표들은 지휘관의 관심 영역에 따라 가중치를 부여하여 활용될 수 있고, 사이버 전장의 전체적인 현황을 파악할 수 있어 사이버 작전을 수행하는데 필요한 상황인식에 활용될 수 있을 것으로 예상된다.