• 제목/요약/키워드: network security situation awareness

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Prediction of network security based on DS evidence theory

  • Liu, Dan
    • ETRI Journal
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    • 제42권5호
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    • pp.799-804
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    • 2020
  • Network security situation prediction is difficult due to its strong uncertainty, but DS evidence theory performs well in solving the problem of uncertainty. Based on DS evidence theory, this study analyzed the prediction of the network security situation, designed a prediction model based on the improved DS evidence theory, and carried out a simulation experiment. The experimental results showed that the improved method could predict accurately in the case of a large conflict, and had strong anti-jamming abilities as compared with the original method. The experimental results prove the effectiveness of the improved method in the prediction of the network security situation and provide some theoretical basis for the further application of DS evidence theory.

E-Safety Awareness of Saudi Youths: A Comparative Study and Recommendations

  • Alharbi, Nawaf F;Soh, Ben;AlZain, Mohammed A;Alharbi, Mawaddah F
    • International Journal of Computer Science & Network Security
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    • 제21권11호
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    • pp.181-188
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    • 2021
  • The use of the internet has become a basic need for many across the globe. The situation is very much the same for the youth in many countries like Saudi Arabia who have grown up surrounded and accessing the internet. This demographic, however, is at an increased risk of falling as victims to cybercrime because of a low level of technical awareness. This review looks at the level of technical awareness of internet use in 3 different countries which include the USA, South Africa, and New Zealand. The review will compare the situation in these nations with those in KSA. Based on the review and comparisons, recommendations are made for culturally and socially acceptable e-Safety awareness of Saudi youths.

대규모 네트워크의 효과적 보안상황 인지를 위한 벌집 구조 시각화 시스템의 설계 및 구현 (Design and implementation of the honeycomb structure visualization system for the effective security situational awareness of large-scale networks)

  • 박재범;김휘강;김은진
    • 정보보호학회논문지
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    • 제24권6호
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    • pp.1197-1213
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    • 2014
  • 컴퓨터 네트워크 규모의 지속적 확장과 함께 방화벽, IDS, IPS 등의 각종 보안 시스템들은 네트워크 보안과 관련해 더욱더 막대한 양의 정보를 생성하고 있어 보안 담당자가 그 속에 숨겨진 보안 위협의 징후를 탐지하는 일은 더욱 어려워지고 있다. 보안 담당자들의 '네트워크의 보안상황 인지'(Network Security Situational Awareness)는 여러 관점에서 발생하는 보안 이벤트들 사이의 관계에 기초하여 전체적인 컴퓨터 네트워크의 보안 상황을 효과적으로 판단하는 것으로 이의 과정은 크게 '식별', '이해', '예측'의 3단계로 나눠지며, '식별'과 '이해'는 그 뒤에 이어지는 '예측'과 적절한 대응의 전제 조건이 된다. 그러나 다량의 정보들 속에서 '식별'과 '이해' 과정은 더욱 어려워지고 있다. 본 논문은 다량의 정보들의 '식별'과 '이해' 단계에 효과적인 것으로 알려져 있는 시각화 기법을 적용하여 대규모 네트워크의 보안상황 인지를 돕기 위해 설계한 '허니컴' 시각화 시스템을 제안하고, VAST Challenge 2012의 데이터를 기반으로 실증적인 효과를 확인하였다.

시각화 기반의 효율적인 네트워크 보안 상황 분석 방법 (An Efficient Method for Analyzing Network Security Situation Using Visualization)

  • 정치윤;손선경;장범환;나중찬
    • 정보보호학회논문지
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    • 제19권3호
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    • pp.107-117
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    • 2009
  • 네트워크 관리자가 침입 탐지 시스템, 방화벽 등의 보안 장비에서 발생하는 경보 메시지를 통하여 네트워크에서 이상 현상이 발생하였는지를 인지하고, 이상 현상이 실제 네트워크 보안 위협인지를 판단하기 위해서는 경보 메시지와 관련된 트래픽을 검색하고 분석하는 등의 일련의 작업이 필요하다. 하지만 보안 장비에서 발생되는 경보 메시지의 양이 많을 뿐만 아니라, 네트워크 관리자가 관련 트래픽을 검색하고 분석하는데 많은 시간이 소요되는 등의 문제점이 있다. 따라서 본 논문에서는 보안 이벤트 시각화 기술을 사용하여 네트워크의 보안 상황을 보다 빠르고 효과적으로 분석 할 수 있는 방법을 제안한다. 제안된 방법의 경우 전체 IP주소 공간에서 트래픽의 흐름을 표현하기 때문에 네트워크 관리자가 현재 네트워크에서 발생되는 보안 위협을 보다 빠르게 판단할 수 있도록 도와준다.

트래픽 패턴-맵을 이용한 네트워크 보안 상황 인지 기술 (Network Security Situational Awareness using Traffic Pattern-Map)

  • 장범환;나중찬;장종수
    • 한국산업정보학회논문지
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    • 제11권3호
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    • pp.34-39
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    • 2006
  • 트래픽 패턴-맵(Pattern-Map)은 전체/세부 도메인별 보안 상황을 근원지/목적지 IP 주소 범위로 이루어진 그리드 상에 표현하여 관리자에게 네트워크 보안상황을 실시간으로 인지시키는 도구이다. 각각의 그리드는 근원지-목적지간의 연결을 의미하며, 최다 점유를 차지하는 트래픽의 포트를 식별력을 갖는 색으로 표현한다. 이상 트래픽 현상의 검출은 가로 및 세로 열에 나타난 동일 색의 막대그래프(포트)의 개수와 그것의 합에 따라 결정되며, 그 결과로 선택된 세로 열과 가로 열을 활성화시켜 관리자에게 그 현상을 인지시킨다. 일반적으로 인터넷 웜이 발생할 경우에는 특정 근원지 열이 활성화되고, DDoS와 같은 현상은 목적지 열이 활성화되는 특징이 있다

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A Visualization System for Multiple Heterogeneous Network Security Data and Fusion Analysis

  • Zhang, Sheng;Shi, Ronghua;Zhao, Jue
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권6호
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    • pp.2801-2816
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    • 2016
  • Owing to their low scalability, weak support on big data, insufficient data collaborative analysis and inadequate situational awareness, the traditional methods fail to meet the needs of the security data analysis. This paper proposes visualization methods to fuse the multi-source security data and grasp the network situation. Firstly, data sources are classified at their collection positions, with the objects of security data taken from three different layers. Secondly, the Heatmap is adopted to show host status; the Treemap is used to visualize Netflow logs; and the radial Node-link diagram is employed to express IPS logs. Finally, the Labeled Treemap is invented to make a fusion at data-level and the Time-series features are extracted to fuse data at feature-level. The comparative analyses with the prize-winning works prove this method enjoying substantial advantages for network analysts to facilitate data feature fusion, better understand network security situation with a unified, convenient and accurate mode.

네트워크의 물리적 취약요인과 대응기술에 관한 연구 (Study on the Physical vulnerability factors of network and the Countermeasure technology)

  • 전정훈;안창훈;김상춘
    • 융합보안논문지
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    • 제16권7호
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    • pp.139-145
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    • 2016
  • 최근 국내 여러 기반 시설에 USB와 네트워크에 대한 공격이 증가하고 있다. 이러한 공격은 대부분 내부자에 의한 것으로 의도와는 달리, 인위적인 조작에 의해 발생하기도 한다. 이에 따른 인위적 공격의 대응 방안으로 물리보안을 꼽아볼 수 있으며, 대표적인 기술로는 CCTV나 출입통제시스템, 센서 기술이 있다. 그러나 물리보안은 시장성에 따라 몇몇 제품군으로 대표되고 있어, 다양한 물리보안의 기술개발과 확대 적용에 오히려 걸림돌이 되고 있다. 이러한 상황에서 네트워크의 인위적 취약요인으로 인한, 공격이 지속적으로 발생함에 따라, 적절한 물리적 대응기술이 필요한 실정이다. 따라서 본 논문은 물리보안의 인지도와 수요 동향을 알아보고, 네트워크의 물리적 취약요인과 이에 따른 대응기술들을 알아봄으로써, 향후, 국내 물리 보안기술 개발 및 로드맵 구축에 기여할 것으로 기대한다.

Hakeem: An Arabic Application Aimed to Teaching Children First Aid using Augmented Reality

  • Al-ajlan, Monirah;Altukhays, Wujud;Alyousef, Deema;Almansour, Aljawharah;Alsukayt, Layan;Alajlan, Halah
    • International Journal of Computer Science & Network Security
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    • 제22권5호
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    • pp.368-374
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    • 2022
  • Children are by nature curious and enthusiastic about learning and love to explore and search for everything they see around them, but as a result of this exploration they may sometimes be exposed to dangerous situations ranging from falls to poisoning and suffocation. That is why when supporting a child's natural desire to explore the world and supporting his awareness of dangerous situations and good handling of them, helps him build a conscious scientific mind and enhance his curiosity in the natural world. It is not easy to imagine a difficult situation in which we or one of our family is in danger, unable to help ourselves or to help them in time, due to our complete ignorance of the rules of first aid. Hence the importance of learning first aid not only for the child but for the community and the world at large. "Hakeem" is an Arabic E-health educational application that aims to teach children from the age of six to eleven years first aid, in our belief that the seed of renaissance lies in the care and education of children, and the lack of Arabic content that aims to teach children first aid skills. The idea is to create a scenario in which the child is responsible for saving the person who will be in a dangerous situation using Augmented Reality (AR) technology, to increase engagement and interaction and provides a rich user experience, and according to the child's performance, he will get reward points. The game will have several levels: Beginner, Intermediate, and Hakeem, and based on the player's points he will get a title and move to the next level, and when he reaches the end, he will get the certificate.

A Study on the Smart Tourism Awareness through Bigdata Analysis

  • LEE, Song-Yi;LEE, Hwan-Soo
    • 산경연구논집
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    • 제11권5호
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    • pp.45-52
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    • 2020
  • Purpose: In the 4th industrial revolution, services that incorporate various smart technologies in the tourism sector have begun to gain popularity. Accordingly, academic discussions on smart tourism have also started to become active in various fields. Despite recent research, the definition of smart tourism is still ambiguous, and it is not easy to differentiate its scope or characteristics from traditional tourism concepts. Thus, this study aims to analyze the perception of smart tourism exposed online to identify the current point of smart tourism in Korea and present the research direction for conceptualizing smart tourism suitable for the domestic situation. Research design, data, and methodology: This study analyzes the perception of smart tourism exposed online based on 20,198 news data from portal sites over the past six years. Data on words used with smart tourism were collected from the leading portal sites Naver, Daum, and Google. Text mining techniques were applied to identify the social awareness status of smart tourism. Network analysis was used to visualize the results between words related to smart tourism, and CONCOR analysis was conducted to derive clusters formed by words having similarity. Results: As a result of keyword analysis, the frequency of words related to the development and construction of smart tourism areas was high. The analysis of the centrality of the connection between words showed that the frequency of keywords was similar, and that the words "smartphones" and "China" had relatively high connection centrality. The results of network analysis and CONCOR indicated that words were formed into eight groups including related technologies, promotion, globalization, service introduction, innovation, regional society, activation, and utilization guide. The overall results of data analysis showed that the development of smart tourism cities was a noticeable issue. Conclusions: This study is meaningful in that it clearly reflects the differences in the perception of smart tourism between online and research trends despite various efforts to develop smart tourism in Korea. In addition, this study highlights the need to understand smart tourism concepts and enhance academic discussions. It is expected that such academic discussions will contribute to improving the competitiveness of smart tourism research in Korea.

Unethical Network Attack Detection and Prevention using Fuzzy based Decision System in Mobile Ad-hoc Networks

  • Thanuja, R.;Umamakeswari, A.
    • Journal of Electrical Engineering and Technology
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    • 제13권5호
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    • pp.2086-2098
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    • 2018
  • Security plays a vital role and is the key challenge in Mobile Ad-hoc Networks (MANET). Infrastructure-less nature of MANET makes it arduous to envisage the genre of topology. Due to its inexhaustible access, information disseminated by roaming nodes to other nodes is susceptible to many hazardous attacks. Intrusion Detection and Prevention System (IDPS) is undoubtedly a defense structure to address threats in MANET. Many IDPS methods have been developed to ascertain the exceptional behavior in these networks. Key issue in such IDPS is lack of fast self-organized learning engine that facilitates comprehensive situation awareness for optimum decision making. Proposed "Intelligent Behavioral Hybridized Intrusion Detection and Prevention System (IBH_IDPS)" is built with computational intelligence to detect complex multistage attacks making the system robust and reliable. The System comprises of an Intelligent Client Agent and a Smart Server empowered with fuzzy inference rule-based service engine to ensure confidentiality and integrity of network. Distributed Intelligent Client Agents incorporated with centralized Smart Server makes it capable of analyzing and categorizing unethical incidents appropriately through unsupervised learning mechanism. Experimental analysis proves the proposed model is highly attack resistant, reliable and secure on devices and shows promising gains with assured delivery ratio, low end-to-end delay compared to existing approach.