• 정보보호학회논문지
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• 제23권6호
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• pp.1131-1141
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• 2013

클라우드 컴퓨팅 모델은 대부분이 단일 서버 모델로 가용성, 내부자 공격, vendor lock-in 등의 해결하기 어려운 문제점을 가지고 있다. 이를 해결하기 위해 최근 멀티클라우드 모델에 관한 연구가 진행되고 있다. 멀티클라우드 모델은 기존 클라우드 모델의 단점을 보완하고, 새로운 서비스를 제공할 수 있는 장점이 있다. 본 논문에서는 멀티클라우드 모델에서 발생하는 사용자 인증 문제에 초점을 맞추고 이를 해결하기 위한 기법을 제안한다. 클라우드 브로커 기반의 멀티클라우드 모델을 정의하고, 여기에 적용할 수 있는 인증 프로토콜을 제안하였다. 제안한 프로토콜은 사용자에게 서비스의 투명성을 제공하고, 서비스 제공자의 위장 공격을 방지할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권9호
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• pp.3322-3347
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• 2021

Cloud Storage is the primary component of many businesses on cloud. Majority of the enterprises today are adopting a multicloud strategy to keep away from vendor lock-in and to optimize cost. Auditing schemes are used to ascertain the integrity of cloud data. Of these schemes, only the Provable Data Possession schemes (PDP) are resilient to key-exposure. These PDP schemes are devised using Public Key Infrastructure (PKI-) based cryptography, Identity-based cryptography, etc. PKI-based systems suffer from certificate-related communication/computational complexities. The Identity-based schemes deal with the exposure of only the auditing secret key (audit key). But with the exposure of both the audit key and the secret key used to update the audit key, the auditing process itself becomes a complete failure. So, an Identity-based PDP scheme with Parallel Key-Insulation is proposed for multiple cloud storage. It reduces the risk of exposure of both the audit key and the secret key used to update the audit key. It preserves the data privacy from the Third Party Auditor, secure against malicious Cloud Service Providers and facilitates batch auditing. The resilience to key-exposure is proved using the CDH assumption. Compared to the existing Identity-based multicloud schemes, it is efficient in integrity verification.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.248-256
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• 2021

Now that we're in the big data era, data has taken on a new significance as the storage capacity has exploded from trillion bytes to petabytes at breakneck pace. As the use of cloud computing expands and becomes more commonly accepted, several businesses and institutions are opting to store their requests and data there. Cloud storage's concept of a nearly infinite storage resource pool makes data storage and access scalable and readily available. The majority of them, on the other hand, favour a single cloud because of the simplicity and inexpensive storage costs it offers in the near run. Cloud-based data storage, on the other hand, has concerns such as vendor lock-in, privacy leakage and unavailability. With geographically dispersed cloud storage providers, multicloud storage can alleviate these dangers. One of the key challenges in this storage system is to arrange user data in a cost-effective and high-availability manner. A multicloud storage architecture is given in this study. Next, a multi-objective optimization problem is defined to minimise total costs and maximise data availability at the same time, which can be solved using a technique based on the non-dominated sorting genetic algorithm II (NSGA-II) and obtain a set of non-dominated solutions known as the Pareto-optimal set.. When consumers can't pick from the Pareto-optimal set directly, a method based on Principal Component Analysis (PCA) is presented to find the best answer. To sum it all up, thorough tests based on a variety of real-world cloud storage scenarios have proven that the proposed method performs as expected.