• Journal of Information Processing Systems
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• 제19권4호
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• pp.450-464
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• 2023

To address the problems of large system overhead and low timeliness when dealing with task scheduling in mobile edge cloud computing, a task scheduling and resource management strategy for edge cloud computing based on an improved genetic algorithm was proposed. First, a user task scheduling system model based on edge cloud computing was constructed using the Shannon theorem, including calculation, communication, and network models. In addition, a multi-objective optimization model, including delay and energy consumption, was constructed to minimize the sum of two weights. Finally, the selection, crossover, and mutation operations of the genetic algorithm were improved using the best reservation selection algorithm and normal distribution crossover operator. Furthermore, an improved legacy algorithm was selected to deal with the multi-objective problem and acquire the optimal solution, that is, the best computing task scheduling scheme. The experimental analysis of the proposed strategy based on the MATLAB simulation platform shows that its energy loss does not exceed 50 J, and the time delay is 23.2 ms, which are better than those of other comparison strategies.

• 정보보호학회논문지
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• 제21권1호
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• pp.177-186
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• 2011

스마트 폰의 보급이 확장되면서 데스크톱의 성능과 모바일 특성이 적용된 다양한 모바일 서비스가 증가하고 있다. 모바일 서비스는 모바일 단말의 메모리, 컴퓨팅 파워, 저장 공간 부족과 모바일 단말의 플랫폼에 종속되는 한계를 갖는데 이를 극복할 수 있는 클라우드 컴퓨팅 서비스가 적용된 모바일 클라우드 컴퓨팅 서비스가 최근 각광받고 있다. 모바일 클라우드 서비스는 모바일 서비스와 무선네트워크, 클라우드 서비스가 융합된 서비스로 다양하고 확장된 서비스를 제공하지만, 보안 위협요소가 복합적으로 상속되는 위험이 잠재되어 있다. 그러므로 보안위협이 제거된 안전한 서비스를 배포하고 위협 발생 시 적절하게 대응하기 위한 방안이 필요하다. 본 연구에서는 모바일 단말, 무선네트워크, 클라우드 컴퓨팅 서비스의 위협을 분석하여 모바일 클라우드 서비스의 위협과 위협에 대응하기 위한 방안을 정의하였으며, 위협시나리오를 기반으로 잠재된 위협을 예상하고 대응할 수 있는 방안을 제시하였다.

• 융합보안논문지
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• 제21권3호
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• pp.25-30
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• 2021

현재 코로나-19 팬데믹 현상으로 인해 기업이나 기관에서는 원격근무를 제공하는 상황에서 안전한 근무환경을 구축하기 위해 논리적 망 분리 기술 중 하나인 가상화 데스크톱 기술을 도입하고 있다. 가상화 데스크톱 기술을 도입함에 따라 기업이나 기관에서는 망분리 환경을 보다 안전하고 효과적으로 운영할 수 있게 되었으며, 업무망에 신속하고 안전하게 접근해 업무 효율성과 생산성을 높일 수 있게 되었다. 그러나 가상화 데스크톱 기술을 도입함에 있어, 높은 사양의 서버와 스토리지, 라이선스의 비용적인 문제가 있으며, 운용 및 관리적인 측면에서의 보완이 필요한 실정이다. 이에 대응하기 위한 방안으로 기업이나 기관에서는 클라우드 컴퓨팅 기반의 기술인 가상 데스크톱 서비스(DaaS, Desktop as a Service)로 전환하는 추세이다. 하지만 클라우드 컴퓨팅 기반의 기술인 가상 데스크톱 서비스에서 공동책임모델은 사용자 접근 통제와 데이터 보안은 사용자에게 책임이 있다. 이에 본 논문에서는 가상 데스크톱 서비스 환경에서 공동책임 모델을 근거로, 사용자 접근 통제와 데이터 보안에 대한 개선 방안으로 클라우드 기반 하드웨어 보안 모듈(CloudHSM)과 edge-DRM Proxy를 제안한다.

• 정보보호학회논문지
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• 제34권2호
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• pp.289-299
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• 2024

블록체인은 증가하는 트랜잭션 수와 사용자 수로 인해 많은 계산과 네트워크 통신을 지연시켜 실시간 처리에 효율적이지 않다. 이를 해결하기 위하여, 본 연구는 클라우드 프락시 서버를 제안하므로 적법한 사용자가 블록체인을 사용할 뿐만 아니라 네트워크 지연 시간을 단축할 수 있다. 블록체인 트랜잭션 진행을 위해, 블록체인 복사 서버에서는 트랜잭션 관련 모든 데이터를 검증하지만 클라우드 프락시 서버는 간단한 영지식 증명 알고리즘으로 적법한 사용자를 검증하므로 효율적인 블록체인 실시간 처리가 가능하다. 클라우드 프락시 서버는 블록체인 사용자의 키 쌍을 등록 받아 제안한 영지식 증명으로 적법한 사용자를 검증할 수 있는 블록체인 익명성, 보안성, 확장성을 지원할 수 있다. 제안 연구 분석에서 블록체인 기반 클라우드 프락시 서버는 이전 연구들과 비교하여 네트워크 지연 시간을 단축시키고, 클라우드 프락시 서버의 키 프로세싱은 이전 연구들보다 키 계산 비용을 감소시킨다.

• 한국멀티미디어학회논문지
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• 제20권12호
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• pp.1928-1939
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• 2017

Fog computing is another paradigm of the cloud computing, which extends the ubiquitous services to applications on many connected devices in the IoT (Internet of Things). In general, if we access a lot of IoT devices with existing cloud, we waste a huge amount of bandwidth and work efficiency becomes low. So we apply the paradigm called fog between IoT devices and cloud. The network architecture based on cloud and fog computing discloses the security and privacy issues according to mixed paradigm. There are so many security issues in many aspects. Moreover many IoT devices are connected at fog and they generate much data, therefore light and efficient security mechanism is needed. For example, with inappropriate encryption or authentication algorithm, it causes a huge bandwidth loss. In this paper, we consider issues related with data encryption and authentication mechanism in the network architecture for cloud and fog-based M2M (Machine to Machine) IoT services. This includes trusted encryption and authentication algorithm, and key generation method. The contribution of this paper is to provide efficient security mechanisms for the proposed service architecture. We implemented the envisaged conceptual security check mechanisms and verified their performance.

• Journal of Information Processing Systems
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• 제14권1호
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• pp.228-238
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• 2018

With the rapid advancement of Internet services, there has been a dramatic increase in services that dynamically provide Internet resources on demand, such as cloud computing. In a cloud computing service, because the number of users in the cloud is changing dynamically, it is more efficient to utilize a flexible network technology such as software-defined networking (SDN). However, to efficiently support the SDN-based cloud computing service with limited resources, it is important to effectively manage the flow table at the SDN switch. Therefore, in this paper, a new flow management scheme is proposed that is able to, through efficient management, speed up the flow-entry search speed and simultaneously maximize the number of flow entries. The proposed scheme maximizes the capacity of the flow table by efficiently storing flow entry information while quickly executing the operation of flow-entry search by employing a hash index. In this paper, the proposed scheme is implemented by modifying the actual software SDN switch and then, its performance is analyzed. The results of the analysis show that the proposed scheme, by managing the flow tables efficiently, can support more flow entries.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.227-229
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• 2014

최근 모바일 네트워크 환경에서 데이터의 공유의 효율적 서비스를 위해 Cloud 환경을 이용한 정보 공유 서비스가 이루어지고 있다. 이때 데이터 전송 기술은 광역 통신, 협역 통신, 초근접 통신으로 분류 되고, 초근접 통신인 NFC가 이동이 가능한 휴대 기기에서 주로 사용된다. 본 논문에서는 근거리 통신망 기술인 NFC 기술을 확장한 Zing 기술을 이용하여 효율적으로 대용량 데이터를 공유하는 시스템을 제안한다. 제안 시스템은 Cloud에서 근접 단말기 간의 정보 공유시 발생 될 수 있는 상호운용성 문제점을 해결하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5269-5286
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• 2018

Task scheduling is one of the key issues in improving system performance and optimizing resource management in cloud computing environment. In order to provide appropriate services for heterogeneous users, we propose a novel task scheduling strategy with service differentiation, in which the delay sensitive tasks are assigned to the rapid cloud with high-speed processing, whereas the fault sensitive tasks are assigned to the reliable cloud with service restoration. Considering that a user can receive service from either local SaaS (Software as a Service) servers or public IaaS (Infrastructure as a Service) cloud, we establish a hybrid queueing network based system model. With the assumption of Poisson arriving process, we analyze the system model in steady state. Moreover, we derive the performance measures in terms of average response time of the delay sensitive tasks and utilization of VMs (Virtual Machines) in reliable cloud. We provide experimental results to validate the proposed strategy and the system model. Furthermore, we investigate the Nash equilibrium behavior and the social optimization behavior of the delay sensitive tasks. Finally, we carry out an improved intelligent searching algorithm to obtain the optimal arrival rate of total tasks and present a pricing policy for the delay sensitive tasks.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.216-222
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• 2021

Advances in technology have given educators a tool to empower them to assist with developing the best possible human resources. Teachers at universities prefer to use more modern technological advances to help them educate their students. This opens up a necessity to research the capabilities of cloud-based learning services so that educational solutions can be found among the available options. Based on that, this essay looks at models and levels of deployment for the e-learning cloud architecture in the education system. A project involving educators explores whether gement Systems (LMS) can function well in a collaborative remote learning environment. The study was performed on how Blackboard was being used by a public institution and included research on cloud computing. This test examined how Blackboard Learn performs as a teaching tool and featured 60 participants. It is evident from the completed research that computers are beneficial to student education, especially in improving how schools administer lessons. Convenient tools for processing educational content are included as well as effective organizational strategies for educational processes and better ways to monitor and manage knowledge. In addition, this project's conclusions help highlight the advantages of rolling out cloud-based e-learning in higher educational institutions, which are responsible for creating the integrated educational product. The study showed that a shift to cloud computing can bring progress to educational material and substantial improvement to student academic outcomes, which is related to the increased use of better learning tools and methods.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.140-150
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• 2024

Database-as-a-Service is one of the prime services provided by Cloud Computing. It provides data storage and management services to individuals, enterprises and organizations on pay and uses basis. In which any enterprise or organization can outsource its databases to the Cloud Service Provider (CSP) and query the data whenever and wherever required through any devices connected to the internet. The advantage of this service is that enterprises or organizations can reduce the cost of establishing and maintaining infrastructure locally. However, there exist some database security, privacychallenges and query performance issues to access data, to overcome these issues, in our recent research, developed a database security model using a deterministic encryption scheme, which improved query execution performance and database security level.As this model is implemented using a deterministic encryption scheme, it may suffer from chosen plain text attack, to overcome this issue. In this paper, we proposed a new model for cloud database security using nondeterministic encryption, order preserving encryption, homomorphic encryptionand database distribution schemes, andour proposed model supports execution of queries with equality check, range condition and aggregate operations on encrypted cloud database without decryption. This model is more secure with optimal query execution performance.