• Title/Summary/Keyword: Internet of Battlefield

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Research on Cyber IPB Visualization Method based on BGP Archive Data for Cyber Situation Awareness

  • Youn, Jaepil;Oh, Haengrok;Kang, Jiwon;Shin, Dongkyoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.2
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    • pp.749-766
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    • 2021
  • Cyber powers around the world are conducting cyber information-gathering activities in cyberspace, a global domain within the Internet-based information environment. Accordingly, it is imperative to obtain the latest information through the cyber intelligence preparation of the battlefield (IPB) process to prepare for future cyber operations. Research utilizing the cyber battlefield visualization method for effective cyber IPB and situation awareness aims to minimize uncertainty in the cyber battlefield and enable command control and determination by commanders. This paper designed architecture by classifying cyberspace into a physical, logical network layer and cyber persona layer to visualize the cyber battlefield using BGP archive data, which is comprised of BGP connection information data of routers around the world. To implement the architecture, BGP archive data was analyzed and pre-processed, and cyberspace was implemented in the form of a Di-Graph. Information products that can be obtained through visualization were classified for each layer of the cyberspace, and a visualization method was proposed for performing cyber IPB. Through this, we analyzed actual North Korea's BGP and OSINT data to implement North Korea's cyber battlefield centered on the Internet network in the form of a prototype. In the future, we will implement a prototype architecture based on Elastic Stack.

Lightweight Key Escrow Scheme for Internet of Battlefield Things Environment (사물인터넷 환경을 위한 경량화 키 위탁 기법)

  • Tuan, Vu Quoc;Lee, Minwoo;Lim, Jaesung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.12
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    • pp.1863-1871
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    • 2022
  • In the era of Fourth Industrial Revolution, secure networking technology is playing an essential role in the defense weapon systems. Encryption technology is used for information security. The safety of cryptographic technology, according to Kerchoff's principles, is based on secure key management of cryptographic technology, not on cryptographic algorithms. However, traditional centralized key management is one of the problematic issues in battlefield environments since the frequent movement of the forces and the time-varying quality of tactical networks. Alternatively, the system resources of each node used in the IoBT(Internet of Battlefield Things) environment are limited in size, capacity, and performance, so a lightweight key management system with less computation and complexity is needed than a conventional key management algorithm. This paper proposes a novel key escrow scheme in a lightweight manner for the IoBT environment. The safety and performance of the proposed technique are verified through numerical analysis and simulations.

Threat Unification using Multi-Sensor Simulator of Battlefield Helicopter and Its Implementation (전장 헬기의 다중센서 시뮬레이터를 통한 위협통합 및 구현)

  • Park, Hun-Woo;Kang, Shin-Bong;Noh, Sang-Uk;Jeong, Un-Seob
    • Journal of Internet Computing and Services
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    • v.10 no.3
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    • pp.35-49
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    • 2009
  • In electronic warfare settings, battlefield helicopters identify various threats based upon threat data, which are acquired using their multi-sensors of aircraft survivability equipment (ASE). To continually function despite of potential threats and successfully execute their missions, the battlefield helicopters have to repeatedly report threats in simulated battlefield situations. Toward this ends, the paper presents threat unification using multi-sensor simulator and its implementation. The simulator consists of (1) threat attributes generator, which models threats against battlefield helicopters and defines their specific attributes, (2) threat data generator, which generates threats, being similar to real ones, using normal, uniform, and exponential distributions, and (3) graphic display for threat analysis and unification, which shows unified threat information, for example, threat angle and its level. We implement a multi-sensor threat simulator that can be repeatedly operable in various simulated battlefield settings. Further, we report experimental results that, in addition to tangibly modeling the threats to battlefield helicopters, test the capabilities of threat unification using our simulator.

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A Study on Automatic Discovery and Summarization Method of Battlefield Situation Related Documents using Natural Language Processing and Collaborative Filtering (자연어 처리 및 협업 필터링 기반의 전장상황 관련 문서 자동탐색 및 요약 기법연구)

  • Kunyoung Kim;Jeongbin Lee;Mye Sohn
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.127-135
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    • 2023
  • With the development of information and communication technology, the amount of information produced and shared in the battlefield and stored and managed in the system dramatically increased. This means that the amount of information which cansupport situational awareness and decision making of the commanders has increased, but on the other hand, it is also a factor that hinders rapid decision making by increasing the information overload on the commanders. To overcome this limitation, this study proposes a method to automatically search, select, and summarize documents that can help the commanders to understand the battlefield situation reports that he or she received. First, named entities are discovered from the battlefield situation report using a named entity recognition method. Second, the documents related to each named entity are discovered. Third, a language model and collaborative filtering are used to select the documents. At this time, the language model is used to calculate the similarity between the received report and the discovered documents, and collaborative filtering is used to reflect the commander's document reading history. Finally, sentences containing each named entity are selected from the documents and sorted. The experiment was carried out using academic papers since their characteristics are similar to military documents, and the validity of the proposed method was verified.

Intelligent Intrusion Detection and Prevention System using Smart Multi-instance Multi-label Learning Protocol for Tactical Mobile Adhoc Networks

  • Roopa, M.;Raja, S. Selvakumar
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.6
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    • pp.2895-2921
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    • 2018
  • Security has become one of the major concerns in mobile adhoc networks (MANETs). Data and voice communication amongst roaming battlefield entities (such as platoon of soldiers, inter-battlefield tanks and military aircrafts) served by MANETs throw several challenges. It requires complex securing strategy to address threats such as unauthorized network access, man in the middle attacks, denial of service etc., to provide highly reliable communication amongst the nodes. Intrusion Detection and Prevention System (IDPS) undoubtedly is a crucial ingredient to address these threats. IDPS in MANET is managed by Command Control Communication and Intelligence (C3I) system. It consists of networked computers in the tactical battle area that facilitates comprehensive situation awareness by the commanders for timely and optimum decision-making. Key issue in such IDPS mechanism is lack of Smart Learning Engine. We propose a novel behavioral based "Smart Multi-Instance Multi-Label Intrusion Detection and Prevention System (MIML-IDPS)" that follows a distributed and centralized architecture to support a Robust C3I System. This protocol is deployed in a virtually clustered non-uniform network topology with dynamic election of several virtual head nodes acting as a client Intrusion Detection agent connected to a centralized server IDPS located at Command and Control Center. Distributed virtual client nodes serve as the intelligent decision processing unit and centralized IDPS server act as a Smart MIML decision making unit. Simulation and experimental analysis shows the proposed protocol exhibits computational intelligence with counter attacks, efficient memory utilization, classification accuracy and decision convergence in securing C3I System in a Tactical Battlefield environment.

Information Delivery Scheme by Using DTN in Battlefield Eenvironment (전장 환경에서 DTN을 이용한 정보전달기법)

  • Kim, Young-An
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.3B
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    • pp.260-267
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    • 2011
  • Wireless Local Area Network (WLAN) is recently become popular on the internet since we can download and transfer mass data through it. However, transferring data with distances over 100m often causes some troubles. When downloading mass data from moving vehicles such as cars, jeeps, tanks, etc., if the download process from the first AP (Access Point) is not completed then we have to re-start this process from the second AP (from 0%). Therefore, the question is how to maintain the data we have received from the first AP, and then continuously download remaining data from the next APs in a battlefield environment. In this paper, we propose an effective method for receiving mass data separately from the mobile receive nodes in a Delay Tolerant Network (DTN). We carried on an experiment and evaluation by simulation; these simulation results are provided to show the proposed information delivery scheme performance.

Development Trends of Defense Science and Technology based on the 4th Industrial Revolution (제4차 산업혁명 기반의 국방과학기술 개발 동향)

  • Jeong, Y.H.;Kim, S.N.;Park, H.S.
    • Electronics and Telecommunications Trends
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    • v.35 no.6
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    • pp.56-67
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    • 2020
  • The core technologies of the 4th Industrial Revolution, such as artificial intelligence, the Internet of Things, the cloud, big data, and mobile networks, are inspiring major changes and innovations in the defense sector worldwide. The United States, China, and Russia are pursuing defense research and development strategies that seek to maintain their leadership on the battlefield in the future through the overwhelming superiority of defense science technology. Defense science and technology concentrate on the development of challenging new disruptive technologies to efficiently respond to future battlefield environments, where the immediate process of determining the outcome of a war will lead to combat power. In this paper, we first look at the development strategies of the 4th Industrial Revolution in major countries and describe the latest trends in defense science and technology accordingly.

Unsupervised Learning-Based Threat Detection System Using Radio Frequency Signal Characteristic Data (무선 주파수 신호 특성 데이터를 사용한 비지도 학습 기반의 위협 탐지 시스템)

  • Dae-kyeong Park;Woo-jin Lee;Byeong-jin Kim;Jae-yeon Lee
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.147-155
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    • 2024
  • Currently, the 4th Industrial Revolution, like other revolutions, is bringing great change and new life to humanity, and in particular, the demand for and use of drones, which can be applied by combining various technologies such as big data, artificial intelligence, and information and communications technology, is increasing. Recently, it has been widely used to carry out dangerous military operations and missions, such as the Russia-Ukraine war and North Korea's reconnaissance against South Korea, and as the demand for and use of drones increases, concerns about the safety and security of drones are growing. Currently, a variety of research is being conducted, such as detection of wireless communication abnormalities and sensor data abnormalities related to drones, but research on real-time detection of threats using radio frequency characteristic data is insufficient. Therefore, in this paper, we conduct a study to determine whether the characteristic data is normal or abnormal signal data by collecting radio frequency signal characteristic data generated while the drone communicates with the ground control system while performing a mission in a HITL(Hardware In The Loop) simulation environment similar to the real environment. proceeded. In addition, we propose an unsupervised learning-based threat detection system and optimal threshold that can detect threat signals in real time while a drone is performing a mission.

Integrated Scenario Authoring Method using Mission Impact Analysis Tool due to Cyber Attacks (사이버공격에 의한 임무영향 분석 도구를 이용한 통합시나리오 저작 방법)

  • Yonghyun Kim;Donghwa Kim;Donghwan Lee;Juyoub Kim;Myung Kil Ahn
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.107-117
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    • 2023
  • It must be possible to assess how combat actions taking place in cyberspace affect the military's major mission systems and weapon systems. In order to analyze the mission impact caused by a cyber attack through cyber M&S, the target mission system and cyber warfare elements must be built as a model and a scenario for simulation must be authored. Many studies related to mission impact analysis due to cyber warfare have been conducted focusing on the United States, and existing studies have authored separate scenarios for physical battlefields and cyber battlefields. It is necessary to build a simulation environment that combines a physical battlefield model and a cyber battlefield model, and be able to integrate and author mission scenarios and cyber attack/defense scenarios. In addition, the physical battlefield and cyber battlefield are different work areas, so authoring two types of scenarios for simulation is very complicated and time-consuming. In this paper, we propose a method of using mission system information to prepare the data needed for scenario authoring in advance and using the pre-worked data to author an integrated scenario. The proposed method is being developed by reflecting it in the design of the scenario authoring tool, and an integrated scenario authoring in the field of counter-fire warfare is being performed to prove the proposed method. In the future, by using a scenario authoring tool that reflects the proposed method, it will be possible to easily author an integrated scenario for mission impact analysis in a short period of time.

Data Abstraction in Battlefield Smart Maps Based on QR Tags (QR 태그 기반 전장 스마트 지도에서의 자료 추상화)

  • Kwak, Noh Sup;Yun, Young-Sun;Jung, Jinman;So, Sun Sup;Eun, Seongbae
    • Journal of Korea Multimedia Society
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    • v.23 no.3
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    • pp.440-446
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    • 2020
  • The application field of smart terminals is increasing and its application is also spreading in the defense field. The use of smart terminal based map application is very important in battle fields. The problem is that the communication infrastructure is easy to collapse and the use of GPS is usually disturbed. In this paper, we studied the maps stored in the QR tag at the battle field. The problem is to abstract the map information so that it can be stored in the small QR tag. We have abstracted path information on a vector basis and require only a small amount of data compared to imaged path information. We analyzed the amount of data generated by the abstraction and mathematically analyzed the boundary where the amount does not exceed the capacity limit of the QR tag. Our research can be applied not only to battlefields, but also to disaster / disaster scenes, or in environments with difficult Internet communications, such as mountainous areas.