• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.31-37
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• 2020

Last year's Goseong-Sokcho forest fires have highlighted the limitations of extinguishing work for night-time forest fire and the importance of quick identification for information on the spread of forest fire. However, it is not easy to find services that take into account the characteristics of forest fires, as most existing disaster-related mobile applications and research assume various disaster situations rather than just forest fire situations. Therefore, a system that can provide information quickly is needed, taking into account the characteristics of forest fires and the limitations of extinguishing work. In this paper, we propose evacuation route guidance services that bypass areas where fire has already spread, supplement existing methods of extinguishing work, and provide general information on forest fire situations in real time, by putting drones into forest fire situations. It has been implemented to automate image analysis using the Rekognition service of Amazon Web Service (AWS), and the results of fire detection and the T Map API guide the evacuation path. It is expected that the results of this paper will allow efficient and rapid rescue and extinguishing work to be carried out, and further reduce the damage of human life caused by forest fires.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.2
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• pp.295-303
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• 2023

As the cloud computing market grows, a variety of cloud services are now reliably delivered. Administrative agencies and public institutions of South Korea are transferring all their information systems to cloud systems. It is essential to develop security solutions in advance in order to safely operate cloud services, as protecting cloud services from misuse and malicious access by insiders and outsiders over the Internet is challenging. In this paper, we propose a zero trust model for cloud storage services that store sensitive data. We then verify the effectiveness of the proposed model by operating a cloud storage service. Memory, web, and network forensics are also performed to track access and usage of cloud users depending on the adoption of the zero trust model. As a cloud storage service, we use Amazon S3(Simple Storage Service) and deploy zero trust techniques such as access control lists and key management systems. In order to consider the different types of access to S3, furthermore, we generate service requests inside and outside AWS(Amazon Web Services) and then analyze the results of the zero trust techniques depending on the location of the service request.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.317-325
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• 2018

With the aim of creating new economic values and strengthening national competitiveness, governments and major private companies around the world are continuing their interest in big data and making bold investments. In order to collect objective data, such as news, securing data integrity and quality should be a prerequisite. For researchers or practitioners who wish to make decisions or trend analyses based on objective and massive data, such as portal news, the problem of using the existing Crawler method is that data collection itself is blocked. In this study, we implemented a method of collecting web data by addressing existing crawler-style problems using the cloud service platform provided by Amazon Web Services (AWS). In addition, we collected 'gas safety' articles and analyzed issues related to gas safety. In order to ensure gas safety, the research confirmed that strategies for gas safety should be established and systematically operated based on five categories: accident/occurrence, prevention, maintenance/management, government/policy and target.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.551-553
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• 2020

본 논문에서는 아마존 웹 서비스(AWS)를 사용하여 리눅스 가상환경을 구성하고, 이를 바탕으로 wordpress 서버를 구축하는 방법을 제시한다. AWS는 아마존 회사에서 제공하는 클라우드 컴퓨팅 서비스이며 가상 컴퓨터와 스토리지, 네트워크 인프라 등 다양한 서비스를 제공한다. AWS에서 제공하는 서비스들 중 Lightsail을 사용하여 리눅스 가상서버와 Wordpress 서버를 구현한다. Amazon Lightsail은 AWS에서 제공하는 서비스들 중 가장 쉽게 사용가능하다. 본 논문을 통해 보다 리눅스 및 서버 구축에 어려움을 겪는 초보자분들의 진입장벽을 낮추고 보다 활성화된 클라우드 서비스를 생활화하고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.664-671
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• 2020

A Smart Building, one that uses automated processes to control its operations, refers in this study to one that uses both Internet of Things (IoT) devices and cloud services software. Cloud service providers (e.g. Amazon, Google, and Microsoft) have recently providedIoT cloud platform application services on IoT devices. According to Postscapes, there are now 152 IoT cloud platforms. Choosing one for a smart building is challenging. We selected Microsoft Azure IoT Hub and Amazon's AWS (Amazon Web Services) IoT. The two platforms were evaluated and selected from a smart building perspective. Each prototype was evaluated on two different IoTplatforms, assuming a typical smart building scenario. The selection was based on information and experience gained from developing the prototype system using the IoT cloud platform. The assessment made in this evaluation may be used to select an IoTcloud platform for smart buildings in the future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.6
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• pp.55-65
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• 2011

Recently, use of cloud computing service is dramatically increasing due to wired and wireless communications network diffusion in a field of high performance Internet technique. Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. In a view of digital forensic investigation, it is difficult to obtain data from cloud computing service environments. therefore, this paper suggests analysis method of AWS(Amazon Web Service) and Rackspace which take most part in cloud computing service where IaaS formats presented for data acquisition in order to get an evidence.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.149-150
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• 2017

웹 프로그래밍을 공부하는 학생들이 본인들이 만든 웹 페이지를 서버에 호스팅하여 관리하기는 쉽지 않다. 본 논문에서는 스프링 프레임워크를 기반으로 반응형 웹을 개발하고 개발한 웹 페이지를 아마존 웹 호스팅 서비스를 이용하여 호스팅하는 과정을 다룬다. 스프링 프레임워크는 POJO(Plain Old Java Object) 방식의 프레임워크로써 특정한 인터페이스를 구현하거나 상속을 받을 필요가 없어 기존에 존재하는 라이브러리 등을 지원하기에 용이하고 객체가 가벼우며, CSS를 사용한 반응형 웹은 모바일에서도 접근하기 쉬우므로 높은 접근성을 제공한다. 이렇게 개발한 웹 페이지를 호스팅 하여 관리하는 것은 특히 입문단계의 개발자에게 큰 도움이 될 것이다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.469-478
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• 2022

This paper contains the results of developing smart devices and applications to monitor the load power of the industrial manufacturing machine and evaluate its performance. The smart devices in this paper are divided into two functionalities, which are collecting load power along with operating environment data of industrial manufacturing machines and transmitting the data to servers. Load power data collected from the smart devices are uploaded to MariaDB inside the Amazon Web Service (AWS) server. Using the RESTFul API, the uploaded power data can be retrieved and shown on the web and mobile application in the form of a graph to provide monitoring capability. To evaluate the performance of the developed system, the response time from MariaDB to web and mobile applications was measured. The results is ranging from 0.0256 to 0.0545 seconds in a 4G (LTE) network environment and from 0.6126 to 1.2978 seconds in a 3G network environment, which is considered a satisfactory result.

• Journal of the Korea Society of Computer and Information
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• v.24 no.3
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• pp.87-93
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• 2019

In this paper, we propose a real-time drone-based violent protest detection system. Our proposed system uses drones to detect scenes of violent protest in real-time. The important problem is that the victims and violent actions have to be manually searched in videos when the evidence has been collected. Firstly, we focused to solve the limitations of existing collecting evidence devices by using drone to collect evidence live and upload in AWS(Amazon Web Service)[1]. Secondly, we built a Deep Learning based violence detection model from the videos using Yolov3 Feature Pyramid Network for human activity recognition, in order to detect three types of violent action. The built model classifies people with possession of gun, swinging pipe, and violent activity with the accuracy of 92, 91 and 80.5% respectively. This system is expected to significantly save time and human resource of the existing collecting evidence.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.107-108
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• 2023

기업 및 공공기관의 클라우드 서비스 도입이 확산되면서 업무 시스템에 대한 보안 요구사항이 변화하고 있다. 기존에는 보호해야 할 정보자산이 물리적으로 외부와 분리된 내부 공간에 집중되었다면 클라우드 환경에서는 자산의 분포 범위가 넓어지면서 내부와 외부의 경계가 모호해진다. 따라서 경계 기반의 전통적인 보안 방식은 클라우드 기반 업무환경에 적합하지 않으며 정보 서비스를 이용하는 전 주기에서 암묵적인 신뢰를 배제하고 지속적으로 검증을 수행하는 제로 트러스트 기반의 업무 시스템 운영이 필요하다. 본 논문에서는 스토리지 클라우드 서비스인 아마존 웹 서비스 S3(Simple Storage Service)에 대하여 제로 트러스트 모델을 설계하고, 직접 서비스를 운영하며 제안된 제로 트러스트 모델의 안전성을 검증한다. 제로 트러스트 모델은 스토리지에 접근하는 사용자에 대한 인증 및 식별 기술, 스토리지 암호화 기술, 암호화 키 관리 기술을 활용하여 설계하였으며 제로 트러스트 기술 적용 시, 스토리지 보안성이 향상되는 것을 실제 서비스 운영을 통한 실험을 통해 확인하였다.