• Title/Summary/Keyword: 사건예방

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A Study on the Crimes Using NFT in P2E (P2E내 NFT를 이용한 범죄에 관한 연구)

  • Song, HyeJin
    • Journal of the Society of Disaster Information
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    • v.18 no.3
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    • pp.600-608
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    • 2022
  • Purpose: The purpose of this study is to examine the types of crimes taking place using NFT in P2E games, and to devise measures to prevent crimes and legal sanctions between the government and companies. Method: In order to classify crime types in the metaverse, crime types were analyzed based on the results of previous studies and current incidents. Results: Most of the crimes taking place through NFTs in P2E games are hacking, money laundering, and copyright issues. Although games are regulated in Korea, these are crimes that can occur if game regulations are loosened in the future. Therefore, crime types were classified into hacking, money laundering, tax evasion, copyright issues, and game speculation, and various cases of damage have already occurred in foreign countries. Conclusion: Currently, no crimes are occurring in Korea due to game regulations, but as seen in foreign cases, large amounts of hacking and money laundering using NFTs are taking place in Korea. this will have to be provided

Detection of False Data Injection Attacks in Wireless Sensor Networks (무선 센서 네트워크에서 위조 데이터 주입 공격의 탐지)

  • Lee, Hae-Young;Cho, Tae-Ho
    • Journal of the Korea Society for Simulation
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    • v.18 no.3
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    • pp.83-90
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    • 2009
  • Since wireless sensor networks are deployed in open environments, an attacker can physically capture some sensor nodes. Using information of compromised nodes, an attacker can launch false data injection attacks that report nonexistent events. False data can cause false alarms and draining the limited energy resources of the forwarding nodes. In order to detect and discard such false data during the forwarding process, various security solutions have been proposed. But since they are prevention-based solutions that involve additional operations, they would be energy-inefficient if the corresponding attacks are not launched. In this paper, we propose a detection method that can detect false data injection attacks without extra overheads. The proposed method is designed based on the signature of false data injection attacks that has been derived through simulation. The proposed method detects the attacks based on the number of reporting nodes, the correctness of the reports, and the variation in the number of the nodes for each event. We show the proposed method can detect a large portion of attacks through simulation.

Classifying Midair Collision Risk in Airspace Using ADS-B and Mode-S Open-source Data (ADS-B와 Mode-S 오픈소스 데이터를 활용한 공중충돌 위험 양상 분류)

  • Jongboo Kim;Dooyoul Lee
    • Journal of Advanced Navigation Technology
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    • v.27 no.5
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    • pp.552-560
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    • 2023
  • Aircraft midair collisions are dangerous events that can cause massive casualties. To prevent this, civil aviation has mandated the installation of TCAS (ACAS), which is becoming more sophisticated with the help of new technologies. However, there are institutional problems in collecting data for TCAS research in Korea, limiting the ability to obtain data for personal research. ADS-B and Mode-S automatic broadcast various information about the flight status of the aircraft. This data also contains information about TCAS RA, which can be used by anyone to find examples of TCAS RA operation. We used the databases of ADS-B Exchange and Opensky-Network to acquire data and visually represent three TCAS RA cases through Python coding. We also identified domestic TCAS cases in the first half of 2023 and analyzed their characteristics to confirm the usefulness of the data.

A Study on Auto-Classification of Aviation Safety Data using NLP Algorithm (자연어처리 알고리즘을 이용한 위험기반 항공안전데이터 자동분류 방안 연구)

  • Sung-Hoon Yang;Young Choi;So-young Jung;Joo-hyun Ahn
    • Journal of Advanced Navigation Technology
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    • v.26 no.6
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    • pp.528-535
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    • 2022
  • Although the domestic aviation industry has made rapid progress with the development of aircraft manufacturing and transportation technologies, aviation safety accidents continue to occur. The supervisory agency classifies hazards and risks based on risk-based aviation safety data, identifies safety trends for each air transportation operator, and conducts pre-inspections to prevent event and accidents. However, the human classification of data described in natural language format results in different results depending on knowledge, experience, and propensity, and it takes a considerable amount of time to understand and classify the meaning of the content. Therefore, in this journal, the fine-tuned KoBERT model was machine-learned over 5,000 data to predict the classification value of new data, showing 79.2% accuracy. In addition, some of the same result prediction and failed data for similar events were errors caused by human.

AI Crime Prediction Modeling Based on Judgment and the 8 Principles (판결문과 8하원칙에 기반한 인공지능 범죄 예측 모델링)

  • Hye-sung Jung;Eun-bi Cho;Jeong-hyeon Chang
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.99-105
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    • 2023
  • In the 4th industrial revolution, the field of criminal justice is paying attention to Legaltech using artificial intelligence to provide efficient legal services. This paper attempted to create a crime prediction model that can apply Recurrent Neural Network(RNN) to increase the potential for using legal technology in the domestic criminal justice field. To this end, the crime process was divided into pre, during, and post stages based on the criminal facts described in the judgment, utilizing crime script analysis techniques. In addition, at each time point, the method and evidence of crime were classified into objects, actions, and environments based on the sentence composition elements and the 8 principles of investigation. The case summary analysis framework derived from this study can contribute to establishing situational crime prevention strategies because it is easy to identify typical patterns of specific crime methods. Furthermore, the results of this study can be used as a useful reference for research on generating crime situation prediction data based on RNN models in future follow-up studies.

Understanding Thermal Runaway Phenomena in Overcharged Lithium-Ion Batteries (리튬이차전지의 과충전에 의한 열폭주 현상의 이해)

  • Minseo Lee;Ji-sun You;Kyeong-sin Kang;Jaesung Lee;Sungyool Bong
    • Journal of the Korean Electrochemical Society
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    • v.27 no.2
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    • pp.55-72
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    • 2024
  • Secondary batteries are used as an essential renewable energy source in our lives, such as electric vehicles and energy storage systems (ESS), as an alternative to fossil fuels due to global warming. However, cases of battery fires and explosions have been reported due to thermal runaway in secondary batteries due to various causes such as overdischarge, high-speed charging and discharging, and external short circuit, and great efforts are being made to find solutions suitable for each cause. In particular, as cases presumed to be caused by the overcharging process have been reported, this review will examine the chemical reactions of secondary batteries that can occur during the overcharging process and discuss risk investigation methods to check and prevent them.

Analysis of Research Trends of Explosion Accidents Using Co-Occurrence Keyword Analysis (동시출현 핵심단어 분석을 활용한 폭발사고 연구 동향 분석)

  • Youngwoo Lee;Minju Kim;Jeewon Lee;Wusung An;Sangki, Kwon
    • Explosives and Blasting
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    • v.42 no.2
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    • pp.12-28
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    • 2024
  • Explosion involving rapid energy diffusion are causing enormous human and economic damage. Due to the advancement of the industry, various and widespread explosion accidents are occurring worldwise, and to prevent such explosion accidents, accurate cause analysis should be the basis. Research analysis related to worldwise explosion accidents was carried out in a limited range for some accidents. By conducting bibliometric analysis of keywords on all the papers published in international journals, this study attempted to derive the overall research trend by period and the latest fields in which future researchers may be interested. As a result of the study of keywords, the number of papers was generally small and the number of overall key words was small from 2005 to 2014, but numerical simulation and artificial intelligence have been used for the analysis of explosion accident cases since 2015, and various studies such as lithium-ion battery and mixed gas, which are the latest research fields, are currently being actively conducted.

Endovascular Treatment for Arterioureteral Fistula of the Abdominal Aorta: A Case Report and Literature Review (복부 대동맥에 발생한 동맥-요관 누공의 혈관 내 치료: 증례 보고와 문헌고찰)

  • Hyoung Nam Lee;Woong Hee Lee
    • Journal of the Korean Society of Radiology
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    • v.81 no.4
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    • pp.953-957
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    • 2020
  • We present a rare case demonstrating successful endovascular management of an arterioureteral fistula involving the abdominal aorta. Arterioureteral fistulas are rare but life-threatening, with mortality rates ranging from 7% to 23%. Early recognition and prompt management are essential for preventing catastrophic consequences, including hypovolemic shock. However, recognition of an arterioureteral fistula requires a high index of clinical suspicion due to its rarity and the lack of a sensitive diagnostic method. Arterioureteral fistulas could be induced by traumatic events in patients who have a history of pelvic surgery, radiation, and prolonged placement of a ureteral stent. Endovascular stent graft placement could be a valid treatment option for arterioureteral fistulas involving the abdominal aorta.

Aviation Safety Regulation and ICAO's Response to Emerging Issues (항공안전규제와 새로운 이슈에 대한 ICAO의 대응)

  • Shin, Dong-Chun
    • The Korean Journal of Air & Space Law and Policy
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    • v.30 no.1
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    • pp.207-244
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    • 2015
  • Aviation safety is the stage in which the risk of harm to persons or of property damage is reduced to, and maintained at or below, an acceptable level through a continuing process of hazard identification and risk management. Many accidents and incidents have been taking place since 2014, while there had been relatively safer skies before 2014. International civil aviation community has been exerting great efforts to deal with these emerging issues, thus enhancing and ensuring safety throughout the world over the years. The Preamble of the Chicago Convention emphasizes safety and order of international air transport, and so many Articles in the Convention are related to the safety. Furthermore, most of the Annexes to the Convention are International Standards and Recommended Practices pertaining to the safety. In particular, Annex 19, which was promulgated in Nov. 2013, dealing with safety management system. ICAO, as law-making body, has Air Navigation Commission, Council, Assembly to deliberate and make decisions regarding safety issues. It is also implementing USOAP and USAP to supervise safety functions of member States. After MH 370 disappeared in 2014, ICAO is developing Global Tracking System whereby there should be no loophole in tracking the location of aircraft anywhere in world with the information provided by many stakeholders concerned. MH 17 accident drove ICAO to install web-based repository where information relating to the operation in conflict zones is provided and shared. In addition, ICAO has been initiating various solutions to emerging issues such as ebola outbreak and operation under extreme meteorological conditions. Considering the necessity of protection and sharing of safety data and information to enhance safety level, ICAO is now suggesting enhanced provisions to do so, and getting feedback from member States. It has been observed that ICAO has been approaching issues towards problem-solving from four different dimensions. First regarding time, it analyses past experiences and best practices, and make solutions in short, mid and long terms. Second, from space perspective, ICAO covers States, region and the world as a whole. Third, regarding stakeholders it consults with and hear from as many entities as it could, including airlines, airports, community, consumers, manufacturers, air traffic control centers, air navigation service providers, industry and insurers. Last not but least, in terms of regulatory changes, it identifies best practices, guidance materials and provisions which could become standards and recommended practices.

Proving Causation With Epidemiological Evidence in Tobacco Lawsuits (담배소송에서 역학적 증거에 의한 인과관계의 증명에 관한 소고)

  • Lee, Sun Goo
    • Journal of Preventive Medicine and Public Health
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    • v.49 no.2
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    • pp.80-96
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    • 2016
  • Recently, a series of lawsuits were filed in Korea claiming tort liability against tobacco companies. The Supreme Court has already issued decisions in some cases, while others are still pending. The primary issue in these cases is whether the epidemiological evidence submitted by the plaintiffs clearly proves the causal relationship between smoking and disease as required by civil law. Proving causation is difficult in tobacco lawsuits because factors other than smoking are involved in the development of a disease, and also because of the lapse of time between smoking and the manifestation of the disease. The Supreme Court (Supreme Court Decision, 2011Da22092, April 10, 2014) has imposed some limitations on using epidemiological evidence to prove causation in tobacco lawsuits filed by smokers and their family members, but these limitations should be reconsidered. First, the Court stated that a disease can be categorized as specific or non-specific, and for each disease type, causation can be proven by different types of evidence. However, the concept of specific diseases is not compatible with multifactor theory, which is generally accepted in the field of public health. Second, when the epidemiological association between the disease and the risk factor is proven to be significant, imposing additional burdens of proof on the plaintiff may considerably limit the plaintiff's right to recovery, but the Court required the plaintiffs to provide additional information such as health condition and lifestyle. Third, the Supreme Court is not giving greater weight to the evidential value of epidemiological study results because the Court focuses on the fact that these studies were group-level, not individual-level. However, group-level studies could still offer valuable information about individual members of the group, e.g., probability of causation.