• Title/Summary/Keyword: Security Situational Awareness

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

  • Park, Jae-Beom;Kim, Huy-Kang;Kim, Eun-Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.6
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    • pp.1197-1213
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    • 2014
  • Due to the increase in size of the computer network, the network security systems such as a firewall, IDS, IPS generate much more vast amount of information related to network security. So detecting signs of hidden security threats has become more difficult. Security personnels' 'Network Security Situational Awareness(NSSA)' is effectively determining the security situation of overall computer network on the basis of the relation between the security events that occur in the several views. The process of situational awareness is divided into three stages of the 'identification,' 'understanding' and 'prediction'. And 'identification' and 'understanding' are prerequisites for 'predicting' and the following appropriate responses. But 'identification' and 'understanding' in the vast amount of information became more difficult. In this paper, we propose Honeycomb security situational awareness visualization system that is designed to help NSSA in large-scale networks by using visualization techniques known effective to the 'identification' and 'understanding' stages. And we identified the empirical effects of this system on the basis of the 'VAST Challenge 2012' data.

Decision Model of the Effectiveness for Advanced that Security Visualization (발전된 보안 시각화 효과성 결정 모델)

  • Lee, Min-Sun;Lee, Kyung-Ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.1
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    • pp.147-162
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    • 2017
  • With the advent of various services and devices in the change of IT environment, increasing the complexity of the data, and increasing scale of IT, Many organizations are experiencing the difficulty of analyzing and processing with a large amounts of data for security situations awareness. Therefore, propose the enhancement of security situational awareness through visualization in order to solve the problems of slow response and security situational awareness in organizational risk management. In this paper, we selected the evaluation factors and alternatives for effective visualization by considering user type, situational awareness step, and information visualization attributes through various studies on visualization. And established AHP layer model. Based on this, by using the AHP method for solving the problem of multi-criteria decision making, by calculating the factors for effectively visualizing and the importance of alternative by factor, try to propose a visualization method that can improve the effectiveness of the security situational awareness according to the purpose of visualization and the type of user.

CRF Based Intrusion Detection System using Genetic Search Feature Selection for NSSA

  • Azhagiri M;Rajesh A;Rajesh P;Gowtham Sethupathi M
    • International Journal of Computer Science & Network Security
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    • v.23 no.7
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    • pp.131-140
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    • 2023
  • Network security situational awareness systems helps in better managing the security concerns of a network, by monitoring for any anomalies in the network connections and recommending remedial actions upon detecting an attack. An Intrusion Detection System helps in identifying the security concerns of a network, by monitoring for any anomalies in the network connections. We have proposed a CRF based IDS system using genetic search feature selection algorithm for network security situational awareness to detect any anomalies in the network. The conditional random fields being discriminative models are capable of directly modeling the conditional probabilities rather than joint probabilities there by achieving better classification accuracy. The genetic search feature selection algorithm is capable of identifying the optimal subset among the features based on the best population of features associated with the target class. The proposed system, when trained and tested on the bench mark NSL-KDD dataset exhibited higher accuracy in identifying an attack and also classifying the attack category.

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

  • Chang Beom-Hwan;Na Jung-Chan;Jang Jong-Su
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.3
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    • pp.34-39
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    • 2006
  • This paper introduces a network security situation awareness tool using a traffic pattern map which facilitates recognizing a current network status by extracting and analyzing predetermined traffic features and displaying an abnormal or harmful traffic which deteriorates network performance. The traffic pattern-map consists of $26{\times}26$ intersections, on which the occupancy rate of the port having maximum occupancy is displayed as a bar graph. In general, in case of the Internet worm, the source address section on the traffic pattern map is activated. In case of DDoS the destination address section is activated.

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An Efficient Network Attack Visualization Using Security Quad and Cube

  • Chang, Beom-Hwan;Jeong, Chi-Yoon
    • ETRI Journal
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    • v.33 no.5
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    • pp.770-779
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    • 2011
  • Security quad and cube (SQC) is a network attack analyzer that is capable of aggregating many different events into a single significant incident and visualizing these events in order to identify suspicious or illegitimate behavior. A network administrator recognizes network anomalies by analyzing the traffic data and alert messages generated in the security devices; however, it takes a lot of time to inspect and analyze them because the security devices generate an overwhelming amount of logs and security events. In this paper, we propose SQC, an efficient method for analyzing network security through visualization. The proposed method monitors anomalies occurring in an entire network and displays detailed information of the attacks. In addition, by providing a detailed analysis of network attacks, this method can more precisely detect and distinguish them from normal events.

Legislation on Space Security: South Korean and Poland Challenges

  • Polkowska, Malgorzata
    • The Korean Journal of Air & Space Law and Policy
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    • v.34 no.1
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    • pp.79-123
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    • 2019
  • This article refers to the Space security legislation in South Korea and Poland. Both states have already prepared some legislation on Security in Space- the question is the following- if there is still a need of progress and if those presented legislation are sufficient for the practical purposes of the peaceful uses of Outer Space. South Korea is a much more experienced state in using space than Poland; the same seems with the legislation. Poland as less experienced state in this matter has lots of ambitions to create the efficient legislation on Space security, so it must follow the good examples of states and institution in this matter. One of them is Korea. On the other state, Poland as a Member of EU must implement the European law in space security (in particular SSA), which seems to be priceless and efficient for the international cooperation in Space.

State-of-the-Art in Cyber Situational Awareness: A Comprehensive Review and Analysis

  • Kookjin Kim;Jaepil Youn;Hansung Kim;Dongil Shin;Dongkyoo Shin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.5
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    • pp.1273-1300
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    • 2024
  • In the complex virtual environment of cyberspace, comprised of digital and communication networks, ensuring the security of information is being recognized as an ongoing challenge. The importance of 'Cyber Situation Awareness (CSA)' is being emphasized in response to this. CSA is understood as a vital capability to identify, understand, and respond to various cyber threats and is positioned at the heart of cyber security strategies from a defensive perspective. Critical industries such as finance, healthcare, manufacturing, telecommunications, transportation, and energy can be subjected to not just economic and societal losses from cyber threats but, in severe cases, national losses. Consequently, the importance of CSA is being accentuated and research activities are being vigorously undertaken. A systematic five-step approach to CSA is introduced against this backdrop, and a deep analysis of recent research trends, techniques, challenges, and future directions since 2019 is provided. The approach encompasses current situation and identification awareness, the impact of attacks and vulnerability assessment, the evolution of situations and tracking of actor behaviors, root cause and forensic analysis, and future scenarios and threat predictions. Through this survey, readers will be deepened in their understanding of the fundamental importance and practical applications of CSA, and their insights into research and applications in this field will be enhanced. This survey is expected to serve as a useful guide and reference for researchers and experts particularly interested in CSA research and applications.

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

  • Chang Beom-Hwan;Na Jung-Chan;Jang Jong-Su
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2006.05a
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    • pp.397-401
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    • 2006
  • 트래픽 패턴-맵(PatternMap)은 전체/세부 도메인별 보안 상황을 근원지/목적지 IP 주소 범위로 이루어진 그리드 상에 표현하여 관리자에게 네트워크 보안상황을 실시간으로 인지시키는 도구이다. 각각의 그리드는 근원지-목적지 간의 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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Development of Authentication Service Model Based Context-Awareness for Accessing Patient's Medical Information (환자 의료정보 접근을 위한 상황인식 기반의 인증서비스 모델 개발)

  • Ham, Gyu-Sung;Joo, Su-Chong
    • Journal of Internet Computing and Services
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    • v.22 no.1
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    • pp.99-107
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    • 2021
  • With the recent establishment of a ubiquitous-based medical and healthcare environment, the medical information system for obtaining situation information from various sensors is increasing. In the medical information system environment based on context-awareness, the patient situation can be determined as normal or emergency using situational information. In addition, medical staff can easily access patient information after simple user authentication using ID and Password through applications on smart devices. However, these services of authentication and patient information access are staff-oriented systems and do not fully consider the ubiquitous-based healthcare information system environment. In this paper, we present a authentication service model based context-awareness system for providing situational information-driven authentication services to users who access medical information, and implemented proposed system. The authentication service model based context-awareness system is a service that recognizes patient situations through sensors and the authentication and authorization of medical staff proceed differently according to patient situations. It was implemented using wearables, biometric data measurement modules, camera sensors, etc. to configure various situational information measurement environments. If the patient situation was emergency situation, the medical information server sent an emergency message to the smart device of the medical staff, and the medical staff that received the emergency message tried to authenticate using the application of the smart device to access the patient information. Once all authentication was completed, medical staff will be given access to high-level medical information and can even checked patient medical information that could not be seen under normal situation. The authentication service model based context-awareness system not only fully considered the ubiquitous medical information system environment, but also enhanced patient-centered systematic security and access transparency.

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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    • v.10 no.6
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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.