• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.34-41
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• 2023

The purpose of this paper is to consider the expansion of non-traditional security threats and the national-level response to the emergence of emerging security threats in ultra-uncertain VUCA situations. As a major research method for better analysis, the theoretical approach was referred to papers published in books and academic journals, and technical and current affairs data were studied through the Internet and literature research. The instability and uncertainty of the international order and security environment in the 21st century brought about a change in the security paradigm. Human security emerged as the protection target of security was expanded to individual humans, and emerging security was emerging as the security area expanded. Emerging security threatsthat have different characteristicsfrom traditionalsecurity threats are expressed in various ways, such as cyber threats, new infectious disease threats, terrorist threats, and abnormal climate threats. First, the policy and strategic response to respond to emerging security threats is integrated national crisis management based on artificial intelligence applying the concept of Foresight. Second, it is to establish network-based national crisis management smart governance. Third, it is to maintain the agile resilience of the concept of Agilience. Fourth, an integrated response system that integrates national power elements and national defense elements should be established.

• 정보보호학회논문지
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• 제27권3호
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• pp.531-539
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• 2017

CAPTCHA는 인터넷에서 서비스 혹은 자원을 요청하는 존재가 사람인지 아닌지를 구별하기 위한 테스트 기법이다. 이러한 대부분의 CAPTCHA들은 CAPTCHA 영상을 제3자에게 스트리밍 하여 제 3자가 사용자 대신 CAPTCHA에 응답하는 스트림 릴레이 공격에 의해 우회 될 수 있다는 문제점을 갖는다. 스트림 릴레이 공격에 저항성을 갖기 위해 인간의 인지 구조를 이용한 Emerging Image Game CAPTCHA가 제안되었으나, 사용성이 낮다는 문제점이 있다. 본 연구에서는 Emerging Image Game CAPTCHA의 사용성을 개선할 수 있는 Emerging Image Cue CAPTCHA 설계 방법과 CAPTCHA를 제안하며, 제안된 CAPTCHA에 대한 사용성 평가, 릴레이 공격 시뮬레이션을 통해 실질적인 개선이 이루어졌는지를 평가한다.

• International journal of advanced smart convergence
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• 제13권2호
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• pp.69-79
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• 2024

AI technology is a central focus of the 4th Industrial Revolution. However, compared to some existing non-artificial intelligence technologies, new AI adversarial attacks have become possible in learning data management, input data management, and other areas. These attacks, which exploit weaknesses in AI encryption technology, are not only emerging as social issues but are also expected to have a significant negative impact on existing IT and convergence industries. This paper examines various cases of AI adversarial attacks developed recently, categorizes them into five groups, and provides a foundational document for developing security guidelines to verify their safety. The findings of this study confirm AI adversarial attacks that can be applied to various types of cryptographic modules (such as hardware cryptographic modules, software cryptographic modules, firmware cryptographic modules, hybrid software cryptographic modules, hybrid firmware cryptographic modules, etc.) incorporating AI technology. The aim is to offer a foundational document for the development of standardized protocols, believed to play a crucial role in rejuvenating the information security industry in the future.

• 한국멀티미디어학회논문지
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• 제24권9호
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• pp.1224-1241
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• 2021

Recent development of deep learning techniques for image generation has led to straightforward generation of sophisticated deepfakes. However, as a result, privacy violations through deepfakes has also became increased. To solve this issue, a number of techniques for deepfake detection have been proposed, which are mainly focused on RGB channel-based analysis. Although existing studies have suggested the effectiveness of other color model-based analysis (i.e., Grayscale), their effectiveness has not been quantitatively validated yet. Thus, in this paper, we compare the effectiveness of Grayscale channel-based analysis with RGB channel-based analysis in deepfake detection. Based on the selected CNN-based models and deepfake datasets, we measured the performance of each color model-based analysis in terms of accuracy and time. The evaluation results confirmed that Grayscale channel-based analysis performs better than RGB-channel analysis in several cases.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.49-62
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• 2023

There has been a rapid increase in the creation and alteration of new malware samples which is a huge financial risk for many organizations. There is a huge demand for improvement in classification and detection mechanisms available today, as some of the old strategies like classification using mac learning algorithms were proved to be useful but cannot perform well in the scalable auto feature extraction scenario. To overcome this there must be a mechanism to automatically analyze malware based on the automatic feature extraction process. For this purpose, the dynamic analysis of real malware executable files has been done to extract useful features like API call sequence and opcode sequence. The use of different hashing techniques has been analyzed to further generate images and convert them into image representable form which will allow us to use more advanced classification approaches to classify huge amounts of images using deep learning approaches. The use of deep learning algorithms like convolutional neural networks enables the classification of malware by converting it into images. These images when fed into the CNN after being converted into the grayscale image will perform comparatively well in case of dynamic changes in malware code as image samples will be changed by few pixels when classified based on a greyscale image. In this work, we used VGG-16 architecture of CNN for experimentation.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.146-158
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• 2023

Smart City is gaining attention with the advancement of Information and Communication Technology (ICT). ICT provides the basis for smart city foundation; enables us to interconnect all the actors of a smart city by supporting the provision of seamless ubiquitous services and Internet of Things. On the other hand, Crowdsourcing has the ability to enable citizens to participate in social and economic development of the city and share their contribution and knowledge while increasing their socio-economic welfare. This paper proposed a hybrid model which is a compound of human computation, machine computation and citizen crowds. This proposed hybrid model uses knowledge-based crowdsourcing that captures collaborative and collective intelligence from the citizen crowds to form democratic knowledge space, which provision solutions in areas of civic innovations. This paper also proposed knowledge-based crowdsourcing framework which manages knowledge activities in the form of human computation tasks and eliminates the complexity of human computation task creation, execution, refinement, quality control and manage knowledge space. The knowledge activities in the form of human computation tasks provide support to existing crowdsourcing system to align their task execution order optimally.

• Journal of Platform Technology
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• 제10권4호
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• pp.82-90
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• 2022

최근 메타버스에 대한 사회적 관심이 높아짐에 따라 다양한 메타버스 플랫폼 및 서비스가 등장하고 있으며, 가상 세계의 수많은 가능성과 엄청난 잠재력을 보여주고 있다. 이러한 메타버스는 하나의 유형에만 국한되는 것이 아니라 경계를 허물며 가상융복합경제 형태의 서비스로 진화하며 발전하고 있다. 이에 따라 메타버스에서의 다양한 보안에 대한 이슈가 대두되고 있다. 메타버스는 가상 공간에서 모든 활동이 이루어지므로 프라이버시 침해나 가상 자산 탈취 또는 사기 등의 다양한 문제가 발생할 수 있다. 본 논문에서는 메타버스에서 안전한 서비스를 제공하기 위한 서비스 보안 모델을 제안하였다. 이를 위해 메타버스 프레임워크에서의 보안 위협을 분석하고, 위협을 방지하기 위한 보안 서비스 모델을 제안하였다. 제안 모델의 보안성을 평가하여 효과적으로 메타버스에서 안전한 서비스가 가능함을 보였다.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.153-158
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• 2022

The Internet of Things (IoT) has gotten a lot of research attention in recent years. IoT is seen as the internet's future. IoT will play a critical role in the future, transforming our lifestyles, standards, and business methods. In the following years, the use of IoT in various applications is likely to rise. In the world of information technology, cyber security is critical. In today's world, protecting data has become one of the most difficult tasks. Different type of emerging cyber threats such as malicious, network based and abuse of network have been identified in the IoT. These can be done by virus, Phishing, Spam and insider abuse. This paper focuses on emerging threats, various challenges and vulnerabilities which are faced by the cyber security in the field of IoT and its applications. It focuses on the methods, ethics, and trends that are reshaping the cyber security landscape. This paper also focuses on an attempt to classify various types of threats, by analyzing and characterizing the intruders and attacks facing towards the IoT devices and its services.

• Journal of Information Processing Systems
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• 제15권4호
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• pp.765-784
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• 2019

The smart city is one of the most promising, prominent, and challenging applications of the Internet of Things (IoT). Smart cities rely on everything connected to each other. This in turn depends heavily on technology. Technology literacy is essential to transform a city into a smart, connected, sustainable, and resilient city where information is not only available but can also be found. The smart city vision combines emerging technologies such as edge computing, blockchain, artificial intelligence, etc. to create a sustainable ecosystem by dramatically reducing latency, bandwidth usage, and power consumption of smart devices running various applications. In this research, we present a comprehensive survey of emerging technologies for a sustainable smart city network. We discuss the requirements and challenges for a sustainable network and the role of heterogeneous integrated technologies in providing smart city solutions. We also discuss different network architectures from a security perspective to create an ecosystem. Finally, we discuss the open issues and challenges of the smart city network and provide suitable recommendations to resolve them.

• 융합보안논문지
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• 제19권5호
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• pp.99-105
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• 2019

본 연구에서는 사이버 위협이 사회적으로 담론화 과정을 통해 안보화 되는 이론적 배경과 주요 동향을 제시하였다. 특히 사이버 위협의 안보화에 대한 비판적 논의을 코펜하겐학파의 안보화 이론을 바탕으로 설명하였다. 또한 사이버 위협의 안보화 과정을 설명한 비전통적 위협의 안보화와 신흥안보이슈의 안보화를 기존 연구를 바탕으로 제시하였으며 이에 대한 한계점을 설명하였다. 또한 현재 나타나고 있는 사이버 위협의 군사화 현상이 기술담론과 군사담론의 결합을 통해 나타나는 현상임과 이에 대한 경계적 시각을 제시하고자 하였다. 본 연구를 통해 사이버 위협의 안보화 과정에 대한 객관적 통찰력을 바탕으로 보편적 해법 제시의 한계와 함께 군사화의 경계적 시각을 우리군에 제시하고자 한다.