• Journal of Information Processing Systems
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• v.14 no.2
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• pp.286-308
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• 2018

The availability of powerful and sensor-enabled mobile and Internet-connected devices have enabled the advent of the ubiquitous sensor network (USN) paradigm. USN provides various types of solutions to the general public in multiple sectors, including environmental monitoring, entertainment, transportation, security, and healthcare. Here, we explore and compare the features of wireless sensor networks and USN. Based on our extensive study, we classify the security- and privacy-related challenges of USNs. We identify and discuss solutions available to address these challenges. Finally, we briefly discuss open challenges for designing more secure and privacy-preserving approaches in next-generation USNs.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.332-335
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• 2017

정보기술의 발달은 조직의 업무환경에 긍정적인 영향을 주는 동시에 다양한 정보보호 위협에 따른 사고 발생 등 부정적인 영향을 미친다. 조직에서는 보안사고 예방을 위하여 다양한 노력들을 경주하고 있지만 기술적 보안 솔루션에 의존하는 경향이 있으며, 그럼에도 불구하고 보안 사고를 완벽히 예방하는 것은 불가능하다. 최근 기존의 정보보호 접근방법의 한계를 극복하기 위한 새로운 접근방법인 인간 중심 보안(People Centric Security)에 대한 관심이 증가하고 있으며, 임직원의 자발적인 정보보호 정책준수에 대한 연구의 필요성이 제기되고 있다. 본 연구는 향후 인간 관점의 정보보호 연구의 발전을 위해 기존의 수행된 연구들을 분석하여 통합된 관점에서 연구방향을 제시하는 연구동향 분석 연구로서, 해외 4개의 저널에서 수집한 134개의 논문을 대상으로 연구 추세, 연구 주제, 연구 방법론 등을 분석하였다. 본 연구의 결과는 국내의 인간 관점에서의 정보보호 관련 연구 활성화에 기여할 수 있을 것이라 판단되며, 조직에서 임직원의 정책준수에 영향을 주는 요인들을 참고하여 정보보호 정책 수립 시 활용할 수 있을 것이다.

• ETRI Journal
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• v.42 no.2
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• pp.292-304
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• 2020

As side-channel analysis and machine learning algorithms share the same objective of classifying data, numerous studies have been proposed for adapting machine learning to side-channel analysis. However, a drawback of machine learning algorithms is that their performance depends on human engineering. Therefore, recent studies in the field focus on exploiting deep learning algorithms, which can extract features automatically from data. In this study, we survey recent advances in deep learning-based side-channel analysis. In particular, we outline how deep learning is applied to side-channel analysis, based on deep learning architectures and application methods. Furthermore, we describe its properties when using different architectures and application methods. Finally, we discuss our perspective on future research directions in this field.

• Electronics and Telecommunications Trends
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• v.35 no.7
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• pp.67-76
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• 2020

Because of the development and spread of artificial intelligence (AI) technology, new security threats and adverse AI functions have emerged as a real problem in the process of diversifying areas of use and introducing AI-based products and services to users. In response, it is necessary to develop new AI-based technologies in the field of information protection and security. This paper reviews topics such as domestic and international trends on false information detection technology, cyber security technology, and trust distribution platform technology, and it establishes the direction of the promotion of technology development. In addition, the development of international trends in ethical AI guidelines to ensure the human-centered ethical validity of AI development processes and final systems in parallel with technology development are analyzed and discussed. ETRI has developed AI policing technology, information protection, and security technologies as well as derived tasks and implementation strategies to prepare ethical AI development guidelines to ensure the reliability of AI based on its capabilities.

• Journal of Navigation and Port Research
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• v.35 no.2
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• pp.131-136
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• 2011

As the faithful performance of ISPS of IMO, nowadays actually applicable an integrated safety and security system in and out of vessel should be organized in views of seafarers. Therefore, this paper is aimed to design a fundamental system for ship's integrated safety and security. The system of integrated grabbing will affect efficiently in any maritime field of material and human flow. Therefore this research will be expected to affect economical side by securing all the risk of maritime issues. In addition to the passenger ship and merchant vessel, it is applicable to other public and private vessels either. As a result of this paper, the system designed collecting various data through integrating the system including RFID reader, PIR sensor, and CMOS camera by putting an individual number into each unit that could be control at easy.

• Journal of the military operations research society of Korea
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• v.18 no.1
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• pp.15-31
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• 1992

Developments toward a 'the end of the Cold War' are the main factor determining the situation in the Korean Peninsula. While all the combat resources of North Korea are systematically controlled and kept available for instant mobilization even in peacetime. South Korea is inferior to North Korea in terms of mobilization system and efficiency, exercise intensity and equipments. In sum, the South faces far greater restraints in wartime conversion capability than does the North. Mobilization refers to a nation's compulsory control, management and operation of its human and material resources for the purpose of national security. The total capability for safeguarding national security must be pursued by the continuous examination and complementation of our mobilization system and capability. This paper proposes an efficient management of national mobilization system that can be instantly operated on the whole in time of national emergency. Therefore, the actual operation of National Security Council is suggested to prepare operations against the emergencies and establish the foundation for national security.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.12
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• pp.3366-3383
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• 2012

Reliance on the Internet has introduced Voice over Internet Protocol (VoIP) to various security threats. A reliable security protocol and an authentication scheme are thus required to prevent the aforementioned threats. However, an authentication scheme often demands additional cost and effort. Accordingly, a security framework for known participants in VoIP communication is proposed in this paper. The framework is known as Randomness-Optimized Self-Securing (ROSS), which performs authentication automatically throughout the session by optimizing the uniqueness and randomness of the communication itself. Elliptic Curve Diffie-Hellman (ECDH) key exchange and Salsa20 stream cipher are utilized in the framework correspondingly to secure the key agreement and the communication with low computational cost. Human intelligence supports ROSS authentication process to ensure participant authenticity and communication regularity. The results show that with marginal overhead, the proposed framework is able to secure VoIP communication by performing reliable authentication.

• Health Policy and Management
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• v.31 no.1
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• pp.5-16
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• 2021

Both access to healthcare services and income security in case of personal illness are being needed to achieve universal health coverage, which is enshrined in the human rights to health and social security and international standards on social protection. Income security acts on both the social determinants and the adverse consequences of ill health and thus would break the vicious disease-poverty cycle. The government is supposed to implement a demonstration project of sickness benefit in 2022 and to publicize its more specific blueprint for all workers. This study is to suggest basic principles and a framework to design a new sickness benefit for universal health coverage, which is based on reviews on previous studies, related issues, and institutional conditions. This is to provide a theoretical basis to promote further discussion and to support its decision-making.

• ETRI Journal
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• v.44 no.1
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• pp.155-167
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• 2022

The Internet of Things (IoT) is a new paradigm that connects physical and virtual objects from various domains such as home automation, industrial processes, human health, and monitoring. IoT sensors receive information from their environment and forward it to their neighboring nodes. However, the large amounts of exchanged data are vulnerable to attacks that reduce the network performance. Most of the previous security methods for IoT have neglected the energy consumption of IoT, thereby affecting the performance and reducing the network lifetime. This paper presents a new multistep routing protocol based on cellular learning automata. The network lifetime is improved by a performance-based adaptive reward and fine parameters. Nodes can vote on the reliability of their neighbors, achieving network reliability and a reasonable level of security. Overall, the proposed method balances the security and reliability with the energy consumption of the network.

• International Journal of Computer Science & Network Security
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• v.24 no.8
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• pp.139-144
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• 2024

VANETs have become one of the most attractive research areas in the world of wireless networks in recent years. Indeed, vehicular networks have become capable of optimizing road traffic, which significantly reduces the number of accidents through notifications exchanged between nearby vehicles. The routing function based on the opportunistic algorithm is a critical part of the vehicle's communication system and will therefore be an ideal target for attacks that could aim to prevent alert messages from reaching their destination, and thus endanger human lives. The black hole attack is a major threat to the security of VANETs. The main idea of this paper focuses on the analysis of this type of attack in VANETs using Discrete-Time Markov Chains (DTMC). and deduce at the end the effect of the number of malicious nodes on the delivery rate in the network.