• Title/Summary/Keyword: Network Defense

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A research on cyber target importance ranking using PageRank algorithm (PageRank 알고리즘을 활용한 사이버표적 중요성 순위 선정 방안 연구)

  • Kim, Kook-jin;Oh, Seung-hwan;Lee, Dong-hwan;Oh, Haeng-rok;Lee, Jung-sik;Shin, Dong-kyoo
    • Journal of Internet Computing and Services
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    • v.22 no.6
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    • pp.115-127
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    • 2021
  • With the development of science and technology around the world, the realm of cyberspace, following land, sea, air, and space, is also recognized as a battlefield area. Accordingly, it is necessary to design and establish various elements such as definitions, systems, procedures, and plans for not only physical operations in land, sea, air, and space but also cyber operations in cyberspace. In this research, the importance of cyber targets that can be considered when prioritizing the list of cyber targets selected through intermediate target development in the target development and prioritization stage of targeting processing of cyber operations was selected as a factor to be considered. We propose a method to calculate the score for the cyber target and use it as a part of the cyber target prioritization score. Accordingly, in the cyber target prioritization process, the cyber target importance category is set, and the cyber target importance concept and reference item are derived. We propose a TIR (Target Importance Rank) algorithm that synthesizes parameters such as Event Prioritization Framework based on PageRank algorithm for score calculation and synthesis for each derived standard item. And, by constructing the Stuxnet case-based network topology and scenario data, a cyber target importance score is derived with the proposed algorithm, and the cyber target is prioritized to verify the proposed algorithm.

A Study on Constructing a RMF Optimized for Korean National Defense for Weapon System Development (무기체계 개발을 위한 한국형 국방 RMF 구축 방안 연구)

  • Jung keun Ahn;Kwangsoo Cho;Han-jin Jeong;Ji-hun Jeong;Seung-joo Kim
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.5
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    • pp.827-846
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    • 2023
  • Recently, various information technologies such as network communication and sensors have begun to be integrated into weapon systems that were previously operated in stand-alone. This helps the operators of the weapon system to make quick and accurate decisions, thereby allowing for effective operation of the weapon system. However, as the involvement of the cyber domain in weapon systems increases, it is expected that the potential for damage from cyber attacks will also increase. To develop a secure weapon system, it is necessary to implement built-in security, which helps considering security from the requirement stage of the software development process. The U.S. Department of Defense is implementing the Risk Management Framework Assessment and Authorization (RMF A&A) process, along with the introduction of the concept of cybersecurity, for the evaluation and acquisition of weapon systems. Similarly, South Korea is also continuously making efforts to implement the Korea Risk Management Framework (K-RMF). However, so far, there are no cases where K-RMF has been applied from the development stage, and most of the data and documents related to the U.S. RMF A&A are not disclosed for confidentiality reasons. In this study, we propose the method for inferring the composition of the K-RMF based on systematic threat analysis method and the publicly released documents and data related to RMF. Furthermore, we demonstrate the effectiveness of our inferring method by applying it to the naval battleship system.

Underwater Target Information Estimation using Proximity Sensor (근접센서를 이용한 수중 표적 정보 추정기법)

  • Kim, JungHoon;Yoon, KyungSik;Seo, IkSu;Lee, KyunKyung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.5
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    • pp.174-180
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    • 2015
  • In this paper, we propose the passive sonar signal processing technique for estimating target information using proximity sensor. This algorithm is performed by single sensor which is constituted underwater sensor network and has a hierarchical structure. The estimated parameter is the velocity, the depth, the distance and bearing at CPA situations and we can improve the accuracy of signal processing techniques through having a hierarchical structure. We verify the performance of the proposed method by computer simulation and then we check the result that 20% error can be occurred in maximum detectable range. We also confirm that proposed method has the reliability in the actual sea environment through the sea experiment.

The Analysis of the APT Prelude by Big Data Analytics (빅데이터 분석을 통한 APT공격 전조 현상 분석)

  • Choi, Chan-young;Park, Dea-woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.6
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    • pp.1129-1135
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    • 2016
  • The NH-NongHyup network and servers were paralyzed in 2011, in the 2013 3.20 cyber attack happened and classified documents of Korea Hydro & Nuclear Power Co. Ltd were leaked on december in 2015. All of them were conducted by a foreign country. These attacks were planned for a long time compared to the script kids attacks and the techniques used were very complex and sophisticated. However, no successful solution has been implemented to defend an APT attacks(Advanced Persistent Threat Attacks) thus far. We will use big data analytics to analyze whether or not APT attacks has occurred. This research is based on the data collected through ISAC monitoring among 3 hierarchical Korean Defense System. First, we will introduce related research about big data analytics and machine learning. Then, we design two big data analytics models to detect an APT attacks. Lastly, we will present an effective response method to address a detected APT attacks.

Design and Implementation of Cyber Attack Simulator based on Attack Techniques Modeling

  • Kang, Yong Goo;Yoo, Jeong Do;Park, Eunji;Kim, Dong Hwa;Kim, Huy Kang
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.3
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    • pp.65-72
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    • 2020
  • With the development of information technology and the growth of the scale of system and network, cyber threats and crimes continue to increase. To cope with these threats, cybersecurity training based on actual attacks and defenses is required. However, cybersecurity training requires expert analysis and attack performance, which is inefficient in terms of cost and time. In this paper, we propose a cyber attack simulator that automatically executes attack techniques. This simulator generates attack scenarios by combining attack techniques modeled to be implemented and executes the attack by sequentially executing the derived scenarios. In order to verify the effectiveness of the proposed attack simulator, we experimented by setting an example attack goal and scenarios in a real environment. The attack simulator successfully performed five attack techniques to gain administrator privileges.

Link Performance Analysis for Intra-Aircraft Wireless Communications in 4.4GHz (4.4GHz 대역을 활용한 항공기내 무선통신 링크 성능 분석)

  • Cho, Moon-Je;Jung, Bang Chul;Park, Pangun;Chang, Woohyuk;Ban, Tae-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.7
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    • pp.1243-1248
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    • 2016
  • This paper investigated the channel link budget for Wireless Avionics Intra-Communication (WAIC) in 4.4GHz. The band 4.2~4.2GHz was allocated for the communication service among aeronautical applications in world radiocommunication conference (WRC). Wireless channels in aircraft was modelled by the combination of path loss, shadowing effect caused by obstacles, and fading caused by multipath signals. In addition, wireless channels in aircraft are categorized into 6 groups according to various locations of transmitter and receiver. We analyzed the channel link budget for the 6 channel groups in terms of maximum transmission distance and outage probability. Our analysis and intensive computer simulation results show that the propagation characteristics of group A, B, and F is superior to group C, D, E, and the propagation of group E is the most vulnerable. Also, these results can be utilized as basic reference for the channel analysis of intra-aircraft or similar environment.

A study on the detection of DDoS attack using the IP Spoofing (IP 스푸핑을 통한 DDoS 공격 탐지 방안에 대한 연구)

  • Seo, Jung-Woo;Lee, Sang-Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.1
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    • pp.147-153
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    • 2015
  • Since the DoS(Denial of Service) attack is still an important vulnerable element in many web service sites, sites including public institution should try their best in constructing defensive systems. Recently, DDoS(Distributed Denial of Service) has been raised by prompting mass network traffic that uses NTP's monlist function or DoS attack has been made related to the DNS infrastructure which is impossible for direct defense. For instance, in June 2013, there has been an outbreak of an infringement accident where Computing and Information Agency was the target. There was a DNS application DoS attack which made the public institution's Information System impossible to run its normal services. Like this, since there is a high possibility in having an extensive damage due to the characteristics of DDoS in attacking unspecific information service and not being limited to a particular information system, efforts have to be made in order to minimize cyber threats. This thesis proposes a method for using TTL (Time To Live) value in IP header to detect DDoS attack with IP spoofing, which occurs when data is transmitted under the agreed regulation between the international and domestic information system.

Web Attack Classification Model Based on Payload Embedding Pre-Training (페이로드 임베딩 사전학습 기반의 웹 공격 분류 모델)

  • Kim, Yeonsu;Ko, Younghun;Euom, Ieckchae;Kim, Kyungbaek
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.4
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    • pp.669-677
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    • 2020
  • As the number of Internet users exploded, attacks on the web increased. In addition, the attack patterns have been diversified to bypass existing defense techniques. Traditional web firewalls are difficult to detect attacks of unknown patterns.Therefore, the method of detecting abnormal behavior by artificial intelligence has been studied as an alternative. Specifically, attempts have been made to apply natural language processing techniques because the type of script or query being exploited consists of text. However, because there are many unknown words in scripts and queries, natural language processing requires a different approach. In this paper, we propose a new classification model which uses byte pair encoding (BPE) technology to learn the embedding vector, that is often used for web attack payloads, and uses an attention mechanism-based Bi-GRU neural network to extract a set of tokens that learn their order and importance. For major web attacks such as SQL injection, cross-site scripting, and command injection attacks, the accuracy of the proposed classification method is about 0.9990 and its accuracy outperforms the model suggested in the previous study.

The Multi-Net Performance Evaluation of Link-16 in the L-Band Sharing with Radars (L-대역 내 레이더 주파수 공동사용 환경에서 멀티넷을 통한 Link-16 운용 가능성 성능 평가)

  • Choi, Seonjoo;Yu, Jepung;Lim, Jaesung;Baek, Hoki;Kim, Jaewon;Choi, Hyogi
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.7
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    • pp.738-746
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    • 2016
  • As the trend of future war has been changed to network centric warfare, tactical data link should be needed for fast and accurate situation awareness. Nowadays, Korean air force conducts military operations by using aircrafts equipped with Link-16. The Link-16 can conduct multiple mission at the same time because it supports multi-net capability. Due to lack of frequency resource, the way to share the frequency with other systems has been studied and using L band with radar is considered as one of the candidates bands. However, the data link can be affected by the interference from radars when it shares the L-band because the L-band in Korea is already assigned to long-range detection radars. In this paper, we evaluate operational possibilities of tactical data link in the L-band based on Link-16.

Ransomware attack analysis and countermeasures of defensive aspects (랜섬웨어 공격분석 및 방어적 측면의 대응방안)

  • Hong, Sunghyuck;Yu, Jin-a
    • Journal of Convergence for Information Technology
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    • v.8 no.1
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    • pp.139-145
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    • 2018
  • Ransomeware is a kind of malware. Computers infected with Ransomware have limited system access. It is a malicious program that must provide a money to the malicious code maker in order to release it. On May 12, 2017, with the largest Ransomware attack ever, concerns about the Internet security environment are growing. The types of Ransomware and countermeasures to prevent cyber terrorism are discussed. Ransomware, which has a strong infectious nature and has been constantly attacked in recent years, is typically in the form of Locky, Petya, Cerber, Samam, and Jigsaw. As of now, Ransomware defense is not 100% free. However, it can counter to Ransomware through automatic updates, installation of vaccines, and periodic backups. There is a need to find a multi-layered approach to minimize the risk of reaching the network and the system. Learn how to prevent Ransomware from corporate and individual users.