• International Journal of Computer Science & Network Security
• /
• 제21권7호
• /
• pp.331-340
• /
• 2021

The Internet of Things (IoT) is a rapidly growing physical network that depends on objects, vehicles, sensors, and smart devices. IoT has recently become an important research topic as it autonomously acquires, integrates, communicates, and shares data directly across each other. The centralized architecture of IoT makes it complex to concurrently access control them and presents a new set of technological limitations when trying to manage them globally. This paper proposes a new decentralized access control architecture to manage IoT devices using blockchain, that proposes a solution to concurrency management problems and enhances resource locking to reduce the transaction conflict and avoids deadlock problems. In addition, the proposed algorithm improves performance using a fully distributed access control system for IoT based on blockchain technology. Finally, a performance comparison is provided between the proposed solution and the existing access management solutions in IoT. Deadlock detection is evaluated with the latency of requesting in order to examine various configurations of our solution for increasing scalability. The main goal of the proposed solution is concurrency problem avoidance in decentralized access control management for IoT devices.

• International Journal of Computer Science & Network Security
• /
• 제22권5호
• /
• pp.115-120
• /
• 2022

New realities of social relations are changing the understanding of certain phenomena, including the emergence of new concepts among the objects of property rights, such as: virtual assets, and the circulation of virtual assets. The rapid development of the virtual assets market involves the legislative consolidation of the status of such assets, changes in taxation, their circulation, and so on. These circumstances increase the interest in the study of virtual assets as the latest object of property rights and necessitate the study of this topic. The work aims to explore the theoretical developments and regulations on virtual assets in the modern world, as well as to summarize the conclusions about virtual assets as the latest object of property rights. The object of research is the content of the concept of "virtual asset" and its legal status. The methodology of work is represented by a set of methods and techniques that were used to achieve this goal, namely: hermeneutic, historical, extrapolation, comparative law, generalization, analysis, synthesis, and deduction. The study analyzed different approaches to understanding virtual assets, analyzed the characteristics of virtual assets, and concluded that in today's conditions there is no single unified legal regulation of virtual assets, although many countries are moving towards consolidating the status of virtual assets.

• International Journal of Advanced Culture Technology
• /
• 제10권2호
• /
• pp.252-259
• /
• 2022

Artificial intelligence is used in fusion with image processing techniques using cameras. Image processing technology is a technology that processes objects in an image received from a camera in real time, and is used in various fields such as security monitoring and medical image analysis. If such image processing reduces the accuracy of recognition, providing incorrect information to medical image analysis, security monitoring, etc. may cause serious problems. Therefore, this paper uses a mixture of YOLOv4-tiny model and image processing algorithm and uses the COCO dataset for learning. The image processing algorithm performs five image processing methods such as normalization, Gaussian distribution, Otsu algorithm, equalization, and gradient operation. For RGB images, three image processing methods are performed: equalization, Gaussian blur, and gamma correction proceed. Among the nine algorithms applied in this paper, the Equalization and Gaussian Blur model showed the highest object detection accuracy of 96%, and the gamma correction (RGB environment) model showed the highest object detection rate of 89% outdoors (daytime). The image binarization model showed the highest object detection rate at 89% outdoors (night).

• International Journal of Computer Science & Network Security
• /
• 제22권11호
• /
• pp.284-290
• /
• 2022

The study considers trends and prospects for developing virtual (augmented) reality and civil transactions in relation to digital property. In jurisprudence, there is a need to determine the legal status of virtual and augmented reality to regulate legal relations in the digital environment. Legal relations using new digital technologies require the creation of new legislative approaches and rules of their legal regulation. The article dwells on the legal status of virtual (augmented) reality and determines the methods of regulating legal relations in the sphere of digital property. The study utilized methods for collecting single and multiple facts in order to identify the main trends in the civil circulation of digital assets, as well as private law methods. The methods of generalization, concreteness, induction and deduction reveal the legal nature and main features of virtual (augmented) reality and digital property. The paper highlights the specifics of virtual reality and civil transactions in relation to digital assets. The research has concluded that the sale, exchange and other actions with digital objects in virtual reality have distinctive features, while digital property has also unique characteristics since it is involved in civil circulation and legal relations.

• International Journal of Computer Science & Network Security
• /
• 제23권4호
• /
• pp.48-54
• /
• 2023

Nowadays, a blind man finds it very difficult to cross the roads. They should be very vigilant with every step they take. To resolve this problem, Convolutional Neural Networks(CNN) is a best method to analyse the data and automate the model without intervention of human being. In this work, a traffic signal recognition system is designed using CNN for the visually impaired. To provide a safe walking environment, a voice message is given according to light state and timer state at that instance. The developed model consists of two phases, in the first phase the CNN model is trained to classify different images captured from traffic signals. Common Objects in Context (COCO) labelled dataset is used, which includes images of different classes like traffic lights, bicycles, cars etc. The traffic light object will be detected using this labelled dataset with help of object detection model. The CNN model detects the color of the traffic light and timer displayed on the traffic image. In the second phase, from the detected color of the light and timer value a text message is generated and sent to the text-to-speech conversion model to make voice guidance for the blind person. The developed traffic light recognition model recognizes traffic light color and countdown timer displayed on the signal for safe signal crossing. The countdown timer displayed on the signal was not considered in existing models which is very useful. The proposed model has given accurate results in different scenarios when compared to other models.

• International Journal of Internet, Broadcasting and Communication
• /
• 제16권2호
• /
• pp.1-9
• /
• 2024

As the Internet of Things (IoT) continues to permeate every facet of modern life, the imperative to secure this vast and dynamic frontier becomes increasingly paramount. This presents a comprehensive exploration of the challenges and opportunities inherent in safeguarding the interconnected web of IoT devices. The research critically examines the limitations of current cybersecurity measures through an extensive review of diverse topics, including IoT network performance, smart grid security, and the escalating cyber threats against critical infrastructures. A meticulous analysis of research findings underscores the need for enhanced infrastructure and ongoing research to fortify the cybersecurity mechanisms surrounding IoT objects. We underline the imperative of relentless research efforts to parry the advancing threats and leverage the promise of nascent technologies. Our findings affirm the pivotal influence of robust cybersecurity measures in crafting a resiliently connected ecosystem. The paper underscores the importance of ongoing research to address evolving threats and harness the potential of emerging technologies, reaffirming the central role of cybersecurity in shaping a secure interconnected world. In conclusion, the study emphasizes the dynamic and ever-evolving nature of cybersecurity on the IoT frontier. It unveils a complex landscape of challenges, ranging from network performance intricacies to the security concerns of critical infrastructures.

• 한국통신학회논문지
• /
• 제29권7C호
• /
• pp.997-1006
• /
• 2004

인터넷의 급속한 화산으로 인해 사용자들은 다양한 서비스를 제공받고 있다. 그러나 대부분의 사용자들은 수많은 서비스 사이트에 여러 개의 ID와 패스워드를 이용해 서비스를 이용한다. 따라서 이를 관리해야 하는 사용자와 관리자의 비효율적인 관리체계에 따른 보안적 취약점을 보완하기 위해 제안된 시스템이 SSO(Single Sign On)이다. SSO는 사용자와 관리자에게 효율성과 보안성을 높여 줄 수 있는 시스템으로써 최근 대중화된 SSO 시스템의 경우 브로커 인증 모델에 단일 에이전트를 결합한 혼합형 인증 시스템이 상용화되고 있다. 그러나 혼합 형태의 인증 시스템의 경우 사용자의 사전 등록 문제, 익명 사용자 문제뿐만 아니라 참여 개체들 간의 부인봉쇄 서비스를 제공하지 못하고 있어 보안상의 많은 취약점을 발생시키고 있다. 또한 에이전트 자체에 대한 보안 서비스를 제공해 주지 못해 사용자의 개인 정보뿐만 아니라 SSO 시스템에 많은 취약점을 노출시키고 있다. 따라서 본 논문에서는 SSO 시스템의 인증 모델 중 브로커 인증 모델에 멀티 에이전트 시스템을 결합한 인증모델을 제시하였다. 제안 방식은 기존의 혼합형 인증 시스템에 적용된 단일 에이전트의 보안적 취약점을 보완한 안전한 멀티 에이전트 시스템을 적용하여, 기존 브로커 인증 모델과 단일 에이전트의 혼합형 인증 시스템에서 제공하지 못했던 여러 가지 보안 사항을 만족할 수 있는 SSO 인증 모델을 제안하였다.

• 한국융합학회논문지
• /
• 제8권9호
• /
• pp.1-7
• /
• 2017

네트워크 환경의 개발과 고속화가 되면서 수많은 스마트 기기가 개발되고, 사람과 사물의 상호작용을 가능하게 하면서 고속화된 스마트사회를 구현할 수 있다. 사물인터넷의 수가 급증함에 따라 장치, 플랫폼 및 운영 체제, 통신 및 연결된 시스템에 대한 광범위한 새로운 보안 위험 및 문제점들이 부각되고 있다. 사물인터넷(Internet of Things)장비 들이 갖는 물리적인 특성상 기존 일반 시스템에 비해 크기가 작고 저전력, 저비용, 상대적으로 낮은 스펙으로 운용 제작되기 때문에 연산 및 처리 능력이 떨어져 기존 시스템에서 사용하던 보안 솔루션 적용에 한계가 있다. 또한 IoT(Internet of Things)기기들이 네트워크에 항상 연결되어 있는 특성에 따라 도청 및 데이터의 위 변조, 프라이버시 침해, 정보 유출, 비 인가된 접근, 루팅 및 업데이트 취약성 등 개인의 사생활 노출이나 국가의 중요 기밀과 시설에 대한 위협까지 중대한 보안상 문제들이 나타날 수 있다. 따라서 본 논문에서는 사물인터넷(IoT)의 네트워크의 보안위협사례와 피해사례를 조사하고, 취약성을 시나리오를 통해 분석하여 사물인터넷에 의한 재산피해 최소화하기 위한 방안을 제시하였으며, 시나리오를 이용하는 방법으로 취약점을 분석하였다.

• Ocean and Polar Research
• /
• 제44권4호
• /
• pp.355-364
• /
• 2022

When the 60-ton-class patrol boat '72' of the Korea Coast Guard (KCG) was on duty and she accidentally collided with another patrol boat ('207', 200-ton-class) and sank. A month-long search found a small amount of lost items, but neither the crew nor the ship was found. For the first time in 39 years since the accident, the Korea Institute of Ocean Science and Technology (KIOST) searched the boat 72 using the latest integrated geophysical techniques. A number of sonar images presumed to be of a sunken ship was acquired using a combined system of side scan sonar and marine magnetometer, operated at an altitude of approximately 30 m from the seabed. At the same time, a strong magnetic anomaly (100 nT) was detected in one place, indicating the presence of an iron ship. A video survey using a remotely operated underwater vehicle (ROV) confirmed the presence of a shielding part of a personal firearm at the stern of the sunken vessel. Based on these comprehensive data, the sunken vessel discovered in this exploration was assumed to be '72'. This result is meaningful in terms of future ocean exploration and underwater archaeology, as the integrated system of various geophysical methods is an efficient means of identifying objects present in the water.

• 한국산업정보학회논문지
• /
• 제17권4호
• /
• pp.51-59
• /
• 2012

최근 보안 감시 분야에서 영상처리를 이용한 객체 추적에 관한 연구가 활발히 이루어지고 있다. 기존 여러 대의 카메라를 이용한 보안 감시 시스템은 각각 독립적으로 운영되었다. 따라서 추적 객체가 다른 카메라의 감시영역으로 이동 시 계속해서 추적이 어려웠다. 이 문제를 해결하기 위해 본 논문은 다중 카메라에서 객체의 이동방향에 따라 자동으로 카메라의 제어권을 변경하는 방법을 제안한다. 제안방법은 객체를 검출하고 객체의 색상 정보와 방향 정보로 객체를 추적한다. 색상 정보는 hue를 이용하고 방향 정보는 광류를 이용하여 획득한다. 이때 광류는 전체 영상이 아닌 객체가 검출된 영역에만 적용하여 계산량을 줄여 실시간 추적이 가능하게 한다. 또한, 자동으로 객체를 추적함으로써 기존 카메라를 이용한 보안 감시 시스템의 불편함을 해결할 수 있다.