• Title/Summary/Keyword: Defense technology security

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A Study on the Next-Generation Coastal Guard System (차세대 해안경계시스템에 관한 연구)

  • Lee, Jang-Il;Shin, Eui-Soo;Cha, Ji-Eun
    • Maritime Security
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    • v.4 no.1
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    • pp.115-138
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    • 2022
  • The Korean military is preparing for successful manpower reduction using advanced science and technology, in addition to carrying out the initiative of the Defense Innovation 4.0. Accordingly, studies on core technologies related to defense reform have been conducted both internally and externally in the military, and the corresponding results have also been applied. Nevertheless, compared to the development of such technologies, it is considered necessary to have more preparation for the policies related to the operation of the newly introduced equipment. As for the placement of personnel and the organization of time in service (TIS) with respect to the operation of surveillance equipment, there has been a tendency to sustain the conventional practice. Therefore, this study intends to suggest the schemes for facilitating policy improvements in the operation of manpower and security regulations in the field of information for the purpose of introducing a successful next-generation coastal guard system. To do this, the approach of this study was focused on the policies for the operation of the guard system. This is in contrast to previous studies that centered on its equipment and technologies. In addition, how to efficiently operate the guard system was also studied in view of cognitive science by deriving the most efficient time for a person to execute surveillance through the monitor based on the previous studies.

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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.

A New Analysis Method for Packed Malicious Codes (코드은닉을 이용한 역공학 방지 악성코드 분석방법 연구)

  • Lee, Kyung-Roul;Yim, Kang-Bin
    • Journal of Advanced Navigation Technology
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    • v.16 no.3
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    • pp.488-494
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    • 2012
  • This paper classifies the self-defense techniques used by the malicious software based on their approaches, introduces the packing technique as one of the code protection methods and proposes a way to quickly analyze the packed malicious codes. Packing technique hides a malicious code and restore it at runtime. To analyze a packed code, it is initially required to find the entry point after restoration. To find the entry point, it has been used reversing the packing routine in which a jump instruction branches to the entry point. However, the reversing takes too much time because the packing routine is usually obfuscated. Instead of reversing the routine, this paper proposes an idea to search some features of the startup code in the standard library used to generate the malicious code. Through an implementation and a consequent empirical study, it is proved that the proposed approach is able to analyze malicious codes faster.

PSECF (Policy Streams & Expert Group Standing Change Framework) for Wartime Operational Control Transition (전시작전통제권 전환에 관한 정책흐름 및 전문가집단 위상변동모형 사례분석)

  • Park, SangJung;Koh, Chan
    • Journal of Digital Convergence
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    • v.12 no.7
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    • pp.37-47
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    • 2014
  • This study applies Policy Streams and Expert Group Standing Change Framework (PSECF) proposed by SangJung Park and Chan KOH to analyze the Roh's Participatory government's decision making process on the wartime Operational Control (OPCON) transition. PSECF case study's results are as follows: Strong commitments of the former president Roh Moohyun and the progressive National Security Committee (NSC) were primary drivers in the policy developing process. But military expert groups such as the Ministry of National Defense (MND) and the Joint Chiefs of Staffs (JCS) were thoroughly excluded due to their passive role against the wartime OPCON transition. After the policy resolution, the standing of expert groups changed: the standing of advocate effects, the former progressive NSC who led the wartime OPCON transition in the Roh's Participatory government, went down but the conservatives such as ROK MND and JCS improve their standing because the conservative government kicks off 8 months later from the policy decision. In conclusion, the proposed PSECF through the Roh's Participatory government's case-study is worthy as an explanatory framework for high level national policies.

Curriculum development group specializing in the Department of Hu-man Resources plan (군 전문인력 양성학과 교육과정 개발 방안)

  • Kim, Young Joung
    • Convergence Security Journal
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    • v.13 no.2
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    • pp.195-202
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    • 2013
  • Defense reform our military for the globalization of information. Scientific command structure, troop structure, unit structure, step-by-step into the power structure while promoting a history of quantitative-oriented structure, and structure of the quality of state-of-the-art technology-driven transition in the middle of the bottle numberplans about the current 3.3-fold increase in reducing the cadre(officers and NCOs). NCO groups in the executive, especially expanding the current level of 100% increase in the rate of long-serving, while ensuring a stable job and to superior resources to secure a stable policy through science. Military alliance is now underway. In the midst of this group, and urged the group at the University of the leading military and specialized resources to ensure each agreement required by subjects to reflect. Thus effectively improve the quality of education and the demands of the job analysis, DACUM curriculum development methods and procedures can be applied at the time of urgent need for foster an excellent resource for the discharge of curriculum development at the University of Selected as a core job, career, and job classification configuration inside of Duty according to KST derived from the group reflect on the training courses to meet the requirements in the curriculum through the development of curriculum, job definition, job model set to propose.

Contrast Analysis for CBRN attacks on educational research and best practices (테러대비를 위한 CBRNE교육 선진사례 분석에 관한 연구)

  • Kim, Tae hwan;Park, Dae woo;Hong, Eun sun
    • Journal of the Society of Disaster Information
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    • v.5 no.1
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    • pp.78-100
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    • 2009
  • This study is to protect peoples' life, minimize the property damage by coping with threats quickly and take more preventive measures in advance against nuclear bomb, CBR, and potential explosive. For this, CBRNE(Chemical, Biological, Radiological, Nuclear, Explosive) program research was used. Thanks to advance in technology, terrorist groups and even individuals make or keep nuclear and CBR weapons. And also it's likely that disaster and threats from a toxic gas, acute pathogens, accidents in the nuclear power plants and a high explosive could be happened a lot. Recently more organized terrorist groups maintain random attacks for unspecified individuals and also it's highly likely that a large-scale terrorist attack by WMD and CBRNEwill be done. To take strict measures against CBRNE attacks by terrorists is on the rise as an urgent national task. Moreover biological weapons are relatively easy and inexpensive to obtain or produce and cause mass casualties with a small amount. For this reason, more than 25 countries have already possessed them. In the 21 st century, the international safety environment marks the age of complicated threats : transnational threats such as comprehensive security and terror, organized crime, drug smuggling, illegal trade of weapons of mass destruction, and environmental disruption along with traditional security threats. These cause military threats, terror threats, and CBRNE threats in our daily life to grow. Therefore it needs to come up with measures in such areas as research development, policy, training program. Major industrial nations on CBRNE like USA, Canada, Switzerland, and Israel have implemented various educational programs. These researches could be utilized as basic materials for drawing up plans for civil defense, emergency services and worldwide countermeasures against CBRNE.

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Technology of Lessons Learned Analysis using Artificial intelligence: Focused on the 'L2-OODA Ensemble Algorithm' (인공지능형 전훈분석기술: 'L2-OODA 앙상블 알고리즘'을 중심으로)

  • Yang, Seong-sil;Shin, Jin
    • Convergence Security Journal
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    • v.21 no.2
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    • pp.67-79
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    • 2021
  • Lessons Learned(LL) is a military term defined as all activities that promote future development by finding problems and need improvement in education and reality in the field of warfare development. In this paper, we focus on presenting actual examples and applying AI analysis inference techniques to solve revealed problems in promoting LL activities, such as long-term analysis, budget problems, and necessary expertise. AI legal advice services using cognitive computing-related technologies that have already been practical and in use, were judged to be the best examples to solve the problems of LL. This paper presents intelligent LL inference techniques, which utilize AI. To this end, we want to explore theoretical backgrounds such as LL analysis definitions and examples, evolution of AI into Machine Learning, cognitive computing, and apply it to new technologies in the defense sector using the newly proposed L2-OODA ensemble algorithm to contribute to implementing existing power improvement and optimization.

Analysis of Strategic Priorities for Strengthening Cybersecurity Capability of Cambodia (캄보디아의 사이버보안 역량강화를 위한 전략적 우선순위 분석)

  • Heng, Mara;Hwang, Gee-Hyun
    • Journal of Digital Convergence
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    • v.17 no.10
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    • pp.93-102
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    • 2019
  • This paper aims to set the priorities for the cybersecurity strategy of Cambodian government. To this end, we built a AHP research model by adopting 4 factors from the ITU national interests model and selecting 7 strategies from best practices of 8 countries leading the cyber security. Using a questionnaire, 19 experts evaluated Cambodia's cybersecurity strategy priorities. The key policy factors were evaluated in the order of homeland defense, economic welfare, value promotion and favorable world order. Their strategic alternatives were identified in the order of legislation, capacity building, and cyber attack prevention for critical infrastructure. This study will contribute to setting the strategic priorities and feasible action plans to strengthen Cambodia's cybersecurity capabilities.

A Study on Threat Detection Model using Cyber Strongholds (사이버 거점을 활용한 위협탐지모델 연구)

  • Inhwan Kim;Jiwon Kang;Hoonsang An;Byungkook Jeon
    • Convergence Security Journal
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    • v.22 no.1
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    • pp.19-27
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    • 2022
  • With the innovative development of ICT technology, hacking techniques of hackers are also evolving into sophisticated and intelligent hacking techniques. Threat detection research to counter these cyber threats was mainly conducted in a passive way through hacking damage investigation and analysis, but recently, the importance of cyber threat information collection and analysis is increasing. A bot-type automation program is a rather active method of extracting malicious code by visiting a website to collect threat information or detect threats. However, this method also has a limitation in that it cannot prevent hacking damage because it is a method to identify hacking damage because malicious code has already been distributed or after being hacked. Therefore, to overcome these limitations, we propose a model that detects actual threats by acquiring and analyzing threat information while identifying and managing cyber bases. This model is an active and proactive method of collecting threat information or detecting threats outside the boundary such as a firewall. We designed a model for detecting threats using cyber strongholds and validated them in the defense environment.

A Study on the Generation and Transmission of Drone Jamming Signals Based on the MAVLink Protocol (MAVLink 프로토콜 기반 드론 교란 신호 생성 및 송출에 관한 연구)

  • Woojin Lee;Changhan Lim;Jaeyeon Lee
    • Convergence Security Journal
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    • v.23 no.2
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    • pp.75-84
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    • 2023
  • Recently, as the use of drones for military purposes is increasing, such as the Russia-Ukraine War, North Korea's reconnaissance against South Korea, and Army Tiger 4.0's dronebot system, anti-drone technology is developing a lot in each country. However, traditional anti-drone technologies in the form of using conventional weapons or electronic warfare weapons have the disadvantage of being expensive, so anti-drone technologies that can be performed at low cost are currently being newly researched. Therfore, in response to these anti-drone technologies, many efforts are being made to increase the survivability of our allies. In line with this trend, this study assumes a virtual anti-drone system applied with cyber domain and electronic warfare domain technologies that can be performed at low cost, rather than a technique using expensive conventional weapons or electronic warfare weapons among various anti-drone technologies. In response to this, we would like to present a plan to increase the survivability of friendly drones.