• 인터넷정보학회논문지
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• 제15권3호
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• pp.91-100
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• 2014

IT 보안의 중요성으로 인해 IT 보안 솔루션의 성능 및 기업의 보안에 대한 투자는 꾸준히 증가하고 있지만, 보안 사고 발생으로 인한 기업의 금전적 손실 감소는 여전히 기대에 미치지 못하고 있는 상황이다. 보안 솔루션을 운영하고 있는 기업을 상대로 한 조사 결과에 따르면, 기업의 보안 솔루션에 대한 이해 부족과 잘못된 투자 전략이 기업의 투자 대비 보안 효율성 향상을 기대에 미치지 못하게 하는 주요한 원인으로 분석되었다. 본 논문에서는 기업의 보안 솔루션에 대한 잘못된 투자로 인한 투자 대비 보안 효율성 저하 문제를 해결하기 위한 보안 투자 결정 모델을 제안한다. 구체적으로는, IT 자산의 취약성 이용 공격으로 인한 조직의 피해 발생 이전에 보안 사고 예방이 가능한 사전 보안 솔루션(Proactive Security Solutions, PSSs)과 조직의 피해 발생 이후에 보안 사고를 조사 및 분석할 수 있는 사후 보안 솔루션 (Reactive Security Solutions, PSSs)에 대한 기업의 투자 방법론을 결정하기 위한 포괄적인 수학적 모델을 제안한다. 또한, 제안된 분석 모델을 사용하여 보안 솔루션의 다양한 매개 변수 영향력 아래에서 조직의 IT 보안 투자 예상 순 이익(expected net benefit)을 극대화하기 위한 최적의 방안을 모색한다.

• 융합보안논문지
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• 제21권1호
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• pp.19-24
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• 2021

본 연구의 목적은 환경설계를 통한 범죄예방인 셉테드를 정보보안 영역에 추가하고자 하였다. 정보보안 관리시스템인 ISO 27001의 통제항목(11가지)과 셉테드(CPTED)의 적용원리(6가지)를 매핑하고 항목 간 관련성에 대해서 12명의 보안전문가를 통해 FGI 회의를 통해 검증 하였다. 조사결과 관련성이 평균 60% 이상인 통제항목으로 보안정책, 물리·환경적 보안, 사고관리, 준거성 등이 있었으며, 이는 포괄적인 정책으로 환경보안인 셉테드의 항목과 전반적으로 공유하였으며, 보안조직, 자산관리, 인원보안, 운영관리, 접근통제, 시스템유지, 연속성관리 등 전문적인 통제항목은 셉테드의 각각의 항목과 매핑이 이루어 졌다. 이를 통해 정보보호 인증과 셉테드는 관련성이 있다고 할 수 있으며, 이는 보안의 3대 영역인 관리적보안, 기술적보안, 물리적보안에 환경적보안을 고려할 수 있게 되었다.

• Carbon letters
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• 제26권
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• pp.61-65
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• 2018

Comprehensive calculations of the Rh decoration effect on zigzag CNTs with n ranging from 7 to 12 were conducted in this work to understand the effect of Rh doping on geometric structures and electronic behaviors upon metallic and semiconducting CNTs. The obtained results indicated that Rh dopant not only contributes to the deformation of C-C bonds on the sidewall of CNTs, but also transforms the electron distribution of related complexes, thereby leading to a remarkable increase of the conductivity of pure CNTs given the emerged novel state within the energy gap for metallic CNTs and the narrowed energy gap for semiconducting CNTs. Our calculations will be meaningful for exploiting novel CNT-based materials with better sensitivity to electrons and higher electrical conductivity compared with pure CNTs.

• Journal of Information Processing Systems
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• 제19권1호
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• pp.118-129
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• 2023

The expansion of smart cities drives the growth of data generated from sensor devices, benefitting citizens with enhanced governance, intelligent decision-making, optimized and sustainable management of available resources. The exposure of user data during its collection from sensors, storage in databases, and processing by artificial intelligence-based solutions presents significant security and privacy challenges. In this paper, we investigate the various threats and attacks affecting the growth of future smart cities and discuss the available countermeasures using artificial intelligence and blockchain-based solutions. Open challenges in existing literature due to the lack of countermeasures against quantum-inspired attacks are discussed, focusing on postquantum security solutions for resource-constrained sensor devices. Additionally, we discuss future research and challenges for the growing smart city environment and suggest possible solutions.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.1-10
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• 2024

In the era of big data, the growth of e-commerce transactions brings forth both opportunities and risks, including the threat of data theft and fraud. To address these challenges, an automated real-time fraud detection system leveraging machine learning was developed. Four algorithms (Decision Tree, Naïve Bayes, XGBoost, and Neural Network) underwent comparison using a dataset from a clothing website that encompassed both legitimate and fraudulent transactions. The dataset exhibited an imbalance, with 9.3% representing fraud and 90.07% legitimate transactions. Performance evaluation metrics, including Recall, Precision, F1 Score, and AUC ROC, were employed to assess the effectiveness of each algorithm. XGBoost emerged as the top-performing model, achieving an impressive accuracy score of 95.85%. The proposed system proves to be a robust defense mechanism against fraudulent activities in e-commerce, thereby enhancing security and instilling trust in online transactions.

• 융합보안논문지
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• 제19권4호
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• pp.67-75
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• 2019

최근 국방부는 무기체계를 사이버보안의 영역에서 무기체계를 포함하였다. 기존 정보화영역에 한정되었던 사이버보안의 대상에서 확대되고 진화된 개념이 적용되었다. 무기체계는 소프트웨어의 비중이 점차 늘어나고 있고, 사이버위협의 대상임에는 분명하다. 따라서, 사이버보안 측면에서 무기체계 수명주기간 문제점을 진단하여 무기체계 사이버보안 발전방향을 제시하고자 한다. 무기체계 사이버보안 발전을 위해서는 무기체계 소프트웨어 관리제도를 포함하여 종합적인 정책수립이 이루어져야 하고, 이와 관련된 이해관계자들의 적극적인 참여가 필요하다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권9호
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• pp.4609-4623
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• 2017

The commercialization of LTE/SAE technologies has begun a new era in which data can be transmitted at remarkably high rates. The security of the LTE/SAE network, however, remains problematic. The forward security in LTE/SAE X2 handover key management can be threatened by key compromise and de-synchronization attacks as base station in public spaces can be compromised. This study was conducted to address the lack of forward key security in X2 handover key management in scenarios in which an adversary controls a legal base station. We developed the proposed X2 handover key management by changing the parameter in the renewing step and adding a verification step. We compare the security and performance of our proposal with other similar schemes. Our enhancement scheme ensures forward separation security accompanied by favorable signal and computation load performance.

• Journal of Information Processing Systems
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• 제13권6호
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• pp.1613-1627
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• 2017

The concept of the Internet of Things (IoT) enables physical objects or things to be virtually accessible for both consuming and providing services. Undue access from irresponsible activities becomes an interesting issue to address. Maintenance of data integrity and privacy of objects is important from the perspective of security. Privacy can be achieved through various techniques: password authentication, cryptography, and the use of mathematical models to assess the level of security of other objects. Individual methods like these are less effective in increasing the security aspect. Comprehensive security schemes such as the use of frameworks are considered better, regardless of the framework model used, whether centralized, semi-centralized, or distributed ones. In this paper, we propose a new semi-centralized security framework that aims to improve privacy in IoT using the parameters of trust and reputation. A new algorithm to elect a reputation coordinator, i.e., ConTrust Manager is proposed in this framework. This framework allows each object to determine other objects that are considered trusted before the communication process is implemented. Evaluation of the proposed framework was done through simulation, which shows that the framework can be used as an alternative solution for improving security in the IoT.

• 동아시아경상학회지
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• 제9권2호
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• pp.1-10
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• 2021

Purpose - The purpose of this study is to measure the efficiency of social security expenditure in 31 provinces, cities and autonomous regions in China and proposes corresponding improvement plans. Research design, data, and methodology - The data were obtained from the statistical yearbook of each province. The BCC and CCR models of DEA model and Malmquist index are used to analyze the efficiency, and the input-output index is expanded. Result - The results show that the social security performance of the Chinese government has improved on the whole despite the unbalanced development in different regions. Each region should look for strategies to improve the efficiency of social security according to its own problems. The study suggests that provinces affected by TCI should improve their internal environment, such as raising social security fund structure and strengthening fund supervision, to improve efficiency. Areas affected by TECI need to be more responsive to policy, socio-economic and technological development. Conclusion - The research conclusion can provide reference for Chinese provinces to improve the efficiency of social security expenditure in the future. This study is not comprehensive enough in the selection of input-output indicators, which can be further expanded in the future.

• 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.