• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.25-31
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• 2023

Fog computing diversifies cloud computing by using edge devices to provide computing, data storage, communication, management, and control services. As it has a decentralised infrastructure that is capable of amalgamating with cloud computing as well as providing real-time data analysis, it is an emerging method of using multidisciplinary domains for a variety of applications; such as the IoT, Big Data, and smart cities. This present study provides an overview of the security and privacy concerns of fog computing. It also examines its fundamentals and architecture as well as the current trends, challenges, and potential methods of overcoming issues in fog computing.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.538-549
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• 2019

Cloud computing is the concept of providing information technology services on the Internet, such as software, hardware, networking, and storage. These services can be accessed anywhere at any time on a pay-per-use basis. However, storing data on servers is a challenging aspect of cloud computing. This paper utilizes cryptography and access control to ensure the confidentiality, integrity, and proper control of access to sensitive data. We propose a model that can protect data in cloud computing. Our model is designed by using an enhanced RSA encryption algorithm and a combination of role-based access control model with extensible access control markup language (XACML) to facilitate security and allow data access. This paper proposes a model that uses cryptography concepts to store data in cloud computing and allows data access through the access control model with minimum time and cost for encryption and decryption.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권5호
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• pp.1291-1312
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• 2013

Cloud computing changes the service models of information systems and accelerates the pace of technological innovation of consumer electronics. However, it also brings new security issues. As one of the important foundations of various cloud security solutions, entity authentication is attracting increasing interest of many researchers. This article proposes a layered security architecture to provide a trust transmission mechanism among cloud systems maintained by different organizations. Based on the security architecture, four protocols are proposed to implement mutual authentication, data sharing and secure data transmission in federated cloud systems. The protocols not only can ensure the confidentiality of the data transferred, but also resist man-in-the-middle attacks and masquerading attacks. Additionally, the security properties of the four protocols have been proved by S-pi calculus formal verification. Finally, the performance of the protocols is investigated in a lab environment and the feasibility of the security architecture has been verified under a hybrid cloud system.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.147-158
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• 2022

Cloud Computing offers flexible, on demand, ubiquitous resources for cloud users. Cloud users are provided computing resources in a virtualized environment. In order to meet the growing demands for computing resources, data centres contain a large number of physical machines accommodating multiple virtual machines. However, cloud data centres cannot utilize their computing resources to their total capacity. Several policies have been proposed for improving energy proficiency and computing resource utilization in cloud data centres. Virtual machine placement is an effective method involving efficient mapping of virtual machines to physical machines. However, the availability of many physical machines accommodating multiple virtual machines in a data centre has made the virtual machine placement problem a non deterministic polynomial time hard (NP hard) problem. Metaheuristic algorithms have been widely used to solve the NP hard problems of multiple and conflicting objectives, such as the virtual machine placement problem. In this context, we presented essential concepts regarding virtual machine placement and objective functions for optimizing different parameters. This paper provides a taxonomy of metaheuristic algorithms for the virtual machine placement method. It is followed by a review of prominent research of virtual machine placement methods using meta heuristic algorithms and comparing them. Finally, this paper provides a conclusion and future research directions in virtual machine placement of cloud computing.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 추계학술발표대회
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• pp.516-519
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• 2014

Cloud computing is an up-and-coming paradigm shift transforming computing models from a technology to a utility. However, security concerns related to privacy, confidentiality and trust are among the issues that threaten the wide deployment of cloud computing. With the advancement of ubiquitous mobile-based clients, the ubiquity of the model suggests a higher integration in our day to day life and this leads to a rise in security issues. To strengthen the access control of cloud resources, most organizations are acquiring Identity Management Systems (IDM). This paper presents one of the most popular IDM systems, specifically OAuth, working in the scope of Mobile Cloud Computing which has many weaknesses in its protocol flow. OAuth is a Delegated Authorization protocol, and not an Authentication protocol and this is where the problem lies. This could lead to very poor security decisions around authentication when the basic OAuth flow is adhered to. OAuth provides an access token to a client, so that it can access a protected resource, based on the permission of the resource owner. Many researchers have opted to implement OpenlD alongside OAuth so as to solve this problem. But OpenlD similarly has several security flows. This paper presents scenarios of how insecure implementations of OAuth can be abused maliciously. We incorporate an authentication protocol to verify the identities before authorization is carried out.

• Journal of Biosystems Engineering
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• 제43권4호
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• pp.440-444
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• 2018

Purpose: Cloud-computing technology has several advantages, including maintenance, management, accessibility, and computing power. A greenhouse-control system utilizing these advantages was developed using a private cloud-computing system. Methods: A private cloud needs a collection of servers and a suite of software tools to monitor and control cloud-computing resources. In this study, a server farm, operated by OpenStack as a cloud platform, was constructed using servers, and other network devices. Results: The greenhouse-control system was developed according to the fundamental cloud service models: infrastructure as a service, platform as a service, and software as a service. This system has four additional advantages - security, control function, public data use, and data exchange. There are several considerations that must be addressed, such as service level agreement, data ownership, security, and the differences between users. Conclusions: When the advantages are utilized and the considerations are addressed, cloud-computing technology will be beneficial for agricultural use.

• 한국통신학회논문지
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• 제37C권11호
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• pp.1027-1035
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• 2012

클라우드 컴퓨팅의 편리성과 확장성을 기반으로 웹과 모바일의 기능을 결합한 스마트폰이 최근 큰 관심을 받고 있다. 그러나 현재 출시되고 있는 클라우드 서비스들은 대부분 모바일 단말과 서버간의 단순 데이터 동기화 기반 응용 서비스 수준에 그치고 있어 통신사들이 개발한 비즈니스 모델의 상호운용성에 문제가 있다. 본 논문에서는 클라우드 컴퓨팅의 편리성과 확장성을 유지하면서 스마트폰 간 서로 다른 비즈니스 모델을 사용하는 스마트폰의 사용자를 효율적으로 통합 관리할 수 있는 서비스 보안 인증 모델을 제안한다. 제안 모델은 현재 운영중인 클라우드 컴퓨팅 시스템에서 효과적으로 활용할 수 있도록 스마트폰 사용자의 신분확인 및 권한/접근제어 등을 연동하여 통합 커뮤니케이션 업무의 원활한 서비스가 유지될 수 있도록 스마트폰의 사용자 정보를 인증한다.

• 한국전자통신학회논문지
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• 제7권5호
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• pp.1041-1051
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• 2012

최근 공개되어진 네트워크 인프라를 활용한 서비스 집약 솔루션인 Cloud Computing에 대한 공격은 개발 플랫폼과 웹 기반 제공 소프트웨어, 자원 서비스 등을 무력화시키는 침해 사고와 서비스 장애를 발생시키고 있다. 따라서 불법적인 서비스 차단에 대한 공격으로부터 Cloud Computing 시스템이 지원하는 3가지 서비스 (3S' : laaS, PaaS, SaaS)의 운영정보와 생성된 자료에 대한 보안연구가 필요하다. 본 논문은 Cloud Computing 서비스에 대한 공격과 방어 실험을 단계별 4-Stage 기반의 방어기법으로 최적의 서비스가 가능한 시스템 구축에 관한 연구이다. 최초 네트워크에 대한 접근을 관제하고 가상화 서비스 제어와 지원 서비스 분류, 다중화 경로 선정 등의 순차적이며, 단계적인 4-Stage 접근 제어를 실시하는 방어정책으로 공격을 분산시키고 각 Stage별 접근 제어를 위한 모니터링과 분석을 통해 방어정책 구현과 분석을 시행함으로써 공격 유형별 방어를 실험하고 연구 결과는 Cloud Computing 서비스 기반의 방어정책 구현을 위한 실무적인 기초자료를 제공하고자 한다.

• 정보보호학회논문지
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• 제26권2호
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• pp.319-325
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• 2016

최근 발생한 클라우드 컴퓨팅 관련 보안사고는 한 기업의 보안사고 범위를 넘어 클라우드 컴퓨팅 환경을 사용하는 전체 고객에게 보안사고 범위가 확대되고 있다. 이를 위해 클라우드 데이터센터의 전반적인 통합 보안을 위한 관제기술이 요구된다. 본 연구는 기존 관제기술을 이해하고 클라우드 데이터센터 관제를 위하여 추가 및 통합되는 보안요소를 연구하고자 한다. IaaS 클라우드 환경의 이해를 돕고자 CloudStack으로 IaaS 클라우드 환경을 구축하였다. CloudStack의 구조와 NIST에서 제시한 IaaS 클라우드 모델을 접목하여 본 연구에서 제안한 SW-IaaS 클라우드 구조를 제시하였다. SW-IaaS 클라우드의 구성 요소인 Cloud Manager, Cluster Manager, Computer Manager의 각 계층에서 고려해야할 보안 프레임워크를 도출하고자 한다.

• 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.