• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.1
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• pp.23-30
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• 2023

According to the government's plan for cloud conversion and integration of information resources for administrative and public institutions, work is underway to convert administrative and public institutions to the cloud by 2025. In addition, in the private sector, companies in many fields, including finance, are already using cloud services, and the usage is expected to expand more and more. As a result, changes have occurred in security control activities using security systems, it is required to secure visibility for encrypted traffic when building a cloud control environment. In this paper, an analysis was conducted on the way to provide visibility in the cloud service environment. Ways to provide visibility in the cloud service environment include methods of using load balancer, methods of using security systems, and methods of using equipment dedicated to SSL/TLS decryption. For these methods, Performance comparison was performed in terms of confidentiality, functionality (performance), cost. Through this, the pros and cons of each visibility provision method were presented.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.1
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• pp.436-453
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• 2018

Storage cloud scheme, pushing data to the storage cloud poses much attention regarding data confidentiality. With encryption concept, data accessibility is limited because of encrypted data. To secure storage system with high access power is complicated due to dispersed storage environment. In this paper, we propose a hardware-based security scheme such that a secure dispersed storage system using erasure code is articulated. We designed a hardware-based security scheme with data encoding operations and migration capabilities. Using TPM (Trusted Platform Module), the data integrity and security is evaluated and achieved.

• Journal of Information Processing Systems
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• v.12 no.3
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• pp.538-547
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• 2016

Cloud computing is a new style of computing in which dynamically scalable and reconfigurable resources are provided as a service over the internet. The MapReduce framework is currently the most dominant programming model in cloud computing. It is necessary to protect the integrity of MapReduce data processing services. Malicious workers, who can be divided into collusive workers and non-collusive workers, try to generate bad results in order to attack the cloud computing. So, figuring out how to efficiently detect the malicious workers has been very important, as existing solutions are not effective enough in defeating malicious behavior. In this paper, we propose a security protection framework to detect the malicious workers and ensure computation integrity in the map phase of MapReduce. Our simulation results show that our proposed security protection framework can efficiently detect both collusive and non-collusive workers and guarantee high computation accuracy.

• Journal of Internet Computing and Services
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• v.13 no.6
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• pp.33-40
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• 2012

The cloud service has become the significant factor to save the IT operation cost and to improve the productivities in companies. It was introduced to Korea for enterprise services of major companies in 2008. As the increase of recognition for its effect, more small businesses and public institutions plan to introduce the cloud computing services. The cloud computing researches have only focused on the security threats and response technologies to them. Therefore, this research analyzed the importances of responses to security threats in specific domains. The domains were divided into managerial, physical, and technical security. The specific factors in three domains were used for the analysis in this research as well. The ordered logit model was used for the analysis and the analysis results showed that physical security and managerial security are considered to be significantly important in the cloud computing security. The results also presented that the security policy, the control and surveillance to service infrastructure, and application security are highly important in the respect of specific factors. This research will contribute to enterprises or institutions in Korea, which want to introduce the cloud computing services, by aiding the establishment of effective security strategies.

• Review of KIISC
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• v.24 no.6
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• pp.31-36
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• 2014

클라우드 컴퓨팅 서비스는 자원 공유와 가상화 기술 및 자원의 서비스화 등 기존 컴퓨팅 환경과 다른 특성으로 인해 클라우드 컴퓨팅 환경에 적합한 식별/접근제어 기술 및 보안 통제 사항이 요구된다. 그러므로 기존 컴퓨팅 자원을 클라우드 컴퓨팅 환경으로 변경하는 서비스 제공자나 클라우드 서비스로 이동하는 서비스 사용자는 특정한 보안 요건을 검토해야 한다. Cloud Security Alliance에서 배포한 Cloud Control Matrix와 ISO/IEC 27001을 비교 분석하여, 클라우드 컴퓨팅 환경에서 특별히 요구되는 식별 및 접근제어의 보안 통제 요건을 확인하였다. 또한, 주요 클라우드 컴퓨팅 서비스인 아마존의 AWS, 구글의 Google Cloud Platform과 VMware의 vCloud 서비스의 식별 및 접근제어 기술을 조사하였다. 이를 기반으로 클라우드 컴퓨팅 환경의 식별 및 접근제어 기술에서 필요한 보안 요건을 확인하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.8
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• pp.891-900
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• 2015

Cloud Computing has recently begun to emerge as a new attack target. The malice DDoS attacks are ongoing to delay and disturb the various services of the Cloud Computing. In this paper, we propose the Hornet-Cloud using security Honeypot technique and resources of Cloud Computing, and design the concept of active-interaction and security functions of Hornet-Cloud simply.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.290-296
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• 2022

Big Data is a data analysis technology empowered by late advances in innovations and engineering. In any case, big data involves a colossal responsibility of equipment and handling assets, making reception expenses of big data innovation restrictive to little and medium estimated organizations. Cloud computing offers the guarantee of big data execution to little and medium measured organizations. Big Data preparing is performed through a programming worldview known as MapReduce. Normally, execution of the MapReduce worldview requires organized joined stockpiling and equal preparing. The computing needs of MapReduce writing computer programs are frequently past what little and medium measured business can submit. Cloud computing is on-request network admittance to computing assets, given by an external element. Normal arrangement models for cloud computing incorporate platform as a service (PaaS), software as a service (SaaS), framework as a service (IaaS), and equipment as a service (HaaS).

• The Journal of Society for e-Business Studies
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• v.22 no.4
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• pp.39-51
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• 2017

In October 2016, the NFSA (National Financial Supervisory Authorities) revised the network separation clause of the Regulation on Supervision of Electronic Financial Activities in order to promote the Cloud Computing implementation in the financial sectors. The new regulation, however, limits the Cloud Computing usage to non-critical information and its processing system. Financial institutions that provide customer data analysis and personalized services based on personal data regard current revision as unchanged as before. The implementation of Cloud Computing has greatly contributed to cost reduction, business innovation and is an essential requirement in ever-changing information communication technology environment. To guarantee both security and reliability of the implementation of the Cloud Computing in financial sectors, a considerable amount of research and debate needs to be done. This paper examines current Cloud Computing policies in the Korean financial sector and the challenges associated with it. Finally, the paper identifies policy suggestions based on both European Union and United States' approach as they have successfully introduced Cloud Computing Services for their financial sectors.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.235-247
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• 2021

Today, the cloud computing has become a major demand of many organizations. The major reason behind this expansion is due to its cloud's sharing infrastructure with higher computing efficiency, lower cost and higher fle3xibility. But, still the security is being a hurdle that blocks the success of the cloud computing platform. Therefore, a novel Multi-tenant Decentralized Information Flow Control (MT-DIFC) model is introduced in this research work. The proposed system will encapsulate four types of entities: (1) The central authority (CA), (2) The encryption proxy (EP), (3) Cloud server CS and (4) Multi-tenant Cloud virtual machines. Our contribution resides within the encryption proxy (EP). Initially, the trust level of all the users within each of the cloud is computed using the proposed two-stage trust computational model, wherein the user is categorized bas primary and secondary users. The primary and secondary users vary based on the application and data owner's preference. Based on the computed trust level, the access privilege is provided to the cloud users. In EP, the cipher text information flow security strategy is implemented using the blowfish encryption model. For the data encryption as well as decryption, the key generation is the crucial as well as the challenging part. In this research work, a new optimal key generation is carried out within the blowfish encryption Algorithm. In the blowfish encryption Algorithm, both the data encryption as well as decryption is accomplishment using the newly proposed optimal key. The proposed optimal key has been selected using a new Self Improved Cat and Mouse Based Optimizer (SI-CMBO), which has been an advanced version of the standard Cat and Mouse Based Optimizer. The proposed model is validated in terms of encryption time, decryption time, KPA attacks as well.

• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.50-62
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• 2024

The decision to integrate mobile cloud computing (MCC) in higher education without first defining suitable usage scenarios is a global issue as the usage of such services becomes extensive. Consequently, this study investigates the security determinants of the educational use of mobile cloud computing among universities' students. This study proposes and develops a theoretical model by adopting and modifying the Protection Motivation Theory (PMT). The study's findings show that a significant amount of variance in MCC adoption was explained by the proposed model. MCC adoption intention was shown to be highly influenced by threat appraisal and coping appraisal factors. Perceived severity alone explains 37.8% of students "Intention" to adopt MCC applications, which indicates the student's perception of the degree of harm that would happen can hinder them from using MCC. It encompasses concerns about data security, privacy breaches, and academic integrity issues. Response cost, perceived vulnerability and response efficacy also have significant influence on students "intention" by 18.8%, 17.7%, and 6.7%, respectively.