• 한국인터넷방송통신학회논문지
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• 제14권2호
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• pp.1-10
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• 2014

본 연구에서는 위협이 증가되고 있는 사이버전의 위협과 사이버전에 전장 환경의 위협이 무엇인가에 대해 현재 일어나고 있는 실상을 중심으로 분석하였다. 그리고 주요 선진 국가들이 사이버전에 어떻게 대응하고 있는가에 대한 현 실상을 제시하였다. 그리고 세계 3위권의 사이버전 수행능력을 구비하고 있는 북한의 사이버전 위협과 북한의 사이버전 전략이 한국의 국가안보에 미치는 영향을 제시하였으며, 현존하는 북한의 사이버전 위협과 미래에 예상되는 북한의 사이버전 위협에 한국이 어떻게 대비하고 대응할 것인가에 대해서 연구하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권1호
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• pp.421-433
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• 2015

Recently, there have been fast-growing social network services based on the Internet environment and web technology development, the prevalence of smartphones, etc. Social networks also allow the users to convey the information and news so that they have a great influence on the public opinion formed by social interaction among users as well as the spread of information. On the other hand, these social networks also serve as perfect environments for rampant malware. Malware is rapidly being spread because relationships are formed on trust among the users. In this paper, an effective patch strategy is proposed to deal with malicious worms based on social networks. A graph is formed to analyze the structure of a social network, and subgroups are formed in the graph for the distributed patch strategy. The weighted directions and activities between the nodes are taken into account to select reliable key nodes from the generated subgroups, and the Incremental PageRanking algorithm reflecting dynamic social network features (addition/deletion of users and links) is used for deriving the high influential key nodes. With the patch based on the derived key nodes, the proposed method can prevent worms from spreading over social networks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권10호
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

• 한국컴퓨터정보학회논문지
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• 제7권2호
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• pp.179-186
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• 2002

웹에서는 고객을 대상으로 하는 e-CRM을 실현하기 위해 개인의 취향과 습관을 고려하여 서비스를 제공하는 '개인화(Personalization)'가 인터넷 서비스 업체 및 사용자들의 관심을 모으고 있다. 즉, 개인화가 e-비즈니스(business)의 새로운 경쟁전략으로 떠오르고 있는 것이다. 본 연구에서는 인터넷상에서 고객 관계를 중요시하는 e-CRM(Customer Relationship Management)의 기본이 되는 개인화에 대해서 살펴보았으며. e-CRM(Customer Relationship Management)을 이용하여 개인화를 실현하기 위한 마케팅 전략의 발전방향에 대해서 논의하겠다. 또 이를 근간으로 본 논문에서는 현재 진행되고 있는 일대일(one-to-one) 마케팅을 기본으로 하는 개인화(Personalization)의 문제점이 무엇인지 알아보고, 보다 진보한 e-CRM구축을 위해 야후!(Yahoo.com)의 마케팅 담당 부사장인 세스고딘(Seth Godin)의 퍼미션 마케팅(Permission Marketing)을 적용한 새로운 개인화(Personalization) 기법을 제시한다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2002년도 추계종합학술대회
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• pp.740-743
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• 2002

국내의 초고속인터넷서비스의 요금제는 정액요금제로 초기 인터넷서비스의 이용활성화에 크게 기여하였다. 하지만 가입자가 920만을 넘어서면서 포화점에 이르러 시장성숙기에 접어들면서 소량이용자의 대량이용자의 요금보조, 대량이용자의 인터넷 과용으로 인한 네트워크자원배분의 비효율성 등 정액요금제의 문제점들이 노출되기 시작하였다. 이에 효율적인 요금체계의 모색이 요구되어지는 바 종량형 요금제를 도입ㆍ시행하고 있는 호주, 벨기에, 오스트리아 둥의 초고속인터넷서비스 요금체제 및 전략을 고찰함으로써 국내 초고속인터넷서비스의 요금전략에 시사점을 도출하고자 한다.

• 한국정보처리학회논문지
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• 제7권5S호
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• pp.1620-1628
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• 2000

Existing internet auction systems have adopted the form which gives a win to the auction bidder who proposes the top bid price for the goods posted on the auction board. But they haven't been satisfying the automatical one-step processing for user's convenience because they must require continuous care of user for bidding and checking as well as neglecting the convenience of user interface while participating in the electronic bidding system. The AuctionBot system of Michigan Univ. is known as the representative internet auction system. It has merit allowing the various kids of bidding. But it does not support automatic a process which can replaces what user has to do using an agent. To improve this kind of user interface, we propose an automatic bidding price strategy algorithm which composes the auction system using agent and design for auto-bidding system using agent so that I can replace user's bidding activity. This mechanism gives an auction system the efficient bidding price strategy.

• Journal of Information Technology Applications and Management
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• 제13권4호
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• pp.41-56
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• 2006

The real estate portal has grown into a successful e-Business model that is combined on and off line. Although IT technologies have shown rapid growth, the real estate portals have failed to satisfy the expectations of the Internet users. Based on Michael Porter's competitive forces framework, this study proposes five competitive strategies for continuing growth of the real estate portals. First, to strengthen bargaining power against supplier, buyer and potential new entrants, the real estate portals need to construct a basic network that is cost efficient and maintains real estate goods and makes profits by collaborative deals. Second, strengthen brand value and endeavor to escape from dependency on the Internet portals. Third, develop services to consider changed circumstances and give a lot of sources to make profit to real estate agencies. Fourth, concentrate on marketing to draw in the Internet users and adapt strategies that have been successful in other fields. Finally, real estate fields can seek out ideas for developing new business models from other successful e-Business models and should benchmark them to reduce expenses to a minimum and increase benefits to a maximum.

• 한국정보처리학회논문지
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• 제7권11S호
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• pp.3613-3622
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• 2000

본 논문은 현재의 인터넷에서 IPv6 기반의 차세대 인터넷으로 진화하기 위한 연구 결과를 기술한다. IPv6 기반의 차세대 인터넷을 도입하기 위한 요구사항들을 분석하고, 이를 기반으로 기존 IPv4와 호환을 고려한 단계별 IPv6 도입 전략 개발, 본격적인 IPv6 도입 시 외국의 기술력에 의해 기술 피해 및 종속화를 막기 위한 핵심 기술 선정, 신규인터넷기관, ISP들이 IPv6 망을 단계별로 구축, 운용할 수 있도록 하기 위한 망 구축, 진화 방안, IPv6 공식주소의 체계 및 할당 방안, IPv6 관련 국제활동 강화 등을 포함하는 국내에서 IPv6 진화를 위해 필요한 내용들을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권2호
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• pp.442-460
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• 2021

Nowadays, recommendation systems (RSs) are applied to all aspects of online life. In order to overcome the problem that individuals who do not meet the constraints need to be regenerated when the many-objective evolutionary algorithm (MaOEA) solves the hybrid recommendation model, this paper proposes a many-objective particle swarm optimization algorithm based on multiple criteria (MaPSO-MC). A generation-based fitness evaluation strategy with diversity enhancement (GBFE-DE) and ISDE⁺ are coupled to comprehensively evaluate individual performance. At the same time, according to the characteristics of the model, the regional optimization has an impact on the individual update, and a many-objective evolutionary strategy based on bacterial foraging (MaBF) is used to improve the algorithm search speed. Experimental results prove that this algorithm has excellent convergence and diversity, and can produce accurate, diverse, novel and high coverage recommendations when solving recommendation models.

• International Journal of Internet, Broadcasting and Communication
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• 제11권2호
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• pp.59-66
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• 2019

The emergence of new IT technologies and convergence industries, such as artificial intelligence, bigdata and the Internet of Things, is another chance for South Korea, which has established itself as one of the world's top IT powerhouses. On the other hand, however, privacy concerns that may arise in the process of using such technologies raise the task of harmonizing the development of new industries and the protection of personal information at the same time. In response, the government clearly presented the criteria for deidentifiable measures of personal information and the scope of use of deidentifiable information needed to ensure that bigdata can be safely utilized within the framework of the current Personal Information Protection Act. It strives to promote corporate investment and industrial development by removing them and to ensure that the protection of the people's personal information and human rights is not neglected. This study discusses the strategy of deidentifying personal information protection based on the analysis of fake news. Using the strategies derived from this study, it is assumed that deidentification information that is appropriate for deidentification measures is not personal information and can therefore be used for analysis of big data. By doing so, deidentification information can be safely utilized and managed through administrative and technical safeguards to prevent re-identification, considering the possibility of re-identification due to technology development and data growth.