Cloud are also exposed to the risks and liabilities faced by other networked systems. A graph model integrating different types o, regarding the hardware (such as hardware failures, pr, nodes, so the characters of the channel (such as link failure, band, correlation to accommodate to the practice better, incorporated in the hardware property, as a special type of ha, failures in a holistic manner for a given cloud service during, discussed here, which will be used in the proposed evaluatio, derived, respectively, as follows. ... Cloud-based offerings like Platform as a Service (Paas), Infrastructure as a Service (IaaS), and Software as a Service (SaaS) have become prevalent. This paper describes the property of the grid computing systems and presents algorithms to analyze the grid program and system reliability. Â© 2008-2020 ResearchGate GmbH. Cloud Security Alliance Identified Threat Domains in Cloud Computing, All figure content in this area was uploaded by Athula Ginige, All content in this area was uploaded by Athula Ginige on Feb 20, 2016, Farhad Ahamed E-mail: email@example.com, How to Cite this Article: Farhad Ahamed, Seyed Shahrestani and Athula Ginige, “Cloud Computing: Security and, Reliability Issues,” Communications of the IBIMA, vol. Software reliability is usually estimated based on reliability models such as nonhomogeneous Poisson process (NHPP) models. of distance education experiment, support service and cooperation study and so on elaborate the influence of cloud computing to distance education. As an important metric for services, the grid service reliability is studied in this paper. Using homomorphic encryption and secure multiparty computation, cloud servers may perform regularly structured computation on encrypted data, without access to decryption keys. We validated our approach with realistic experiments. Join ResearchGate to find the people and research you need to help your work. Metric preferences and business requirements are gathered using questionnaire. The proposed system encapsulates two phases: In the first phase, affine cipher encryption technique is used to encrypt the original information. The authors give an exposition of Shor's algorithm together with an introduction to quantum computation and complexity theory. As such it is a valuable resource for cloud customers, developers, vendors and the researchers. computation cost this technique also reduces cost while computation is reflected in performance analysis. 04, Issue 01 (January. This chapter explains the reliability calculations of the Customer Orientd Reliability Evaluation (CORE) model. 2. We present a Haskell-based implementation and prove that cloud implementations based on secret sharing, homomorphic encryption, or other alternatives satisfying our general definition meet precise security requirements. It needs to be, Denial of Service (DDoS) attacks on shared, of the task, this can be a serious challenge, also be challenge for virtualization vendors, identities for cloud resources. There have been, extensive computation capabilities (Naehrig. Itâs built on a solid array of fundamental and proven technolo, services are transparent to users who only see a simple a. cloud services from any corner of the world. resources that may access different data resources over the Internet. Depending on whether the reliability is to be predicted for testing phase or operation phase, different measure should be used. It is important to note that the CCCE solves the distance limitation coverage problem that is stemmed from the quantum state property. The Required Security Characterist, within PKI infrastructure may lead to trust, problem and providing access to legitimate. Cloud Security Alliance Identified, mechanisms or simply by exploiting poorly, ups, sophisticated malware is still reported, For example, recent attacks by Stuxnet, real-time (TechWeb, 2006). This opens up the possibility of exploiting quantum effects to perform computations beyond the scope of any classical computer. A conceptual framework has been constructed considering attributes such as heterogeneous data analysis (on-premise and off-premise) and Quality of Results (quality indicators, quality control, validity outcome and reliability outcome). In the proposed scheme, a data owner (WBAN) operates in certificateless cryptography, while a designated tester (server) and a receiver are both in public key infrastructure environment. The PaaS layer offers standard remote services with which developers can build applications on top of the computer infrastructure. computers or servers) which may also encounter hardware failures. Virtualization technology â¦ Some of the issues can be attributed cloud computing in general, others can be A new model is proposed RES(Requirement Encryption Standard) which combines various security. Due to the complexity of the cloud â¦ PDF | On Jan 1, 2014, anju Mishra published Reliability of Cloud Computing Services | Find, read and cite all the research you need on ResearchGate Grid computing â¦ These concepts have been mixed up or even misused in some existing literature. The distributed and the multi-tenancy nature of the cloud computing paradigm can be considered as the root causes for their increased risks and vulnerabilities. Cloud computing is a recently developed new technology for complex systems with massive scale service sharing, which is different from the resource sharing of the grid computing systems. Reliability is a tag that can be attached to any product or service delivery. Since IoT devices generating very heterogeneous and dynamic data, there are challenges for the level of data quality. To implement this methodology, we first developed an approach of attack tolerance that leverages model-level diversity. Reliability of cloud computing sys-tems (CCS) can be de ned in the context of security or in the context of resource and service failures. With the VM, designed to overcome some of these issues, digital certificate of cloud service providers, months with an unknown number of email, Fig 3. Summary This chapter contains sections Essential Cloud â¦ WSEAS Transactions on Information Science and Applications. Based on the survey by Juniper Research Agency, the number of worldwide cloud service consumers is projected to be 3.6 billion in 2018. These include services such as confidentiality, authentication, and privacy that are of vital importance for establishing trust and confidence between the cloud providers and their clients. The paper is a call to arms for research in the topic. 2. Reliability of cloud services is normally presented in terms of percentage, such as 99.9% or 99.99%. Correction: The spelling of the author's name on this paper was changed from Sabiha to Sabahi on 15/02/2013. Cloud Computing Abstract The term \cloud computing" is a recent buzzword in the IT world. The probability for the overflow failure NOT to occur is thus, ) can be obtained by solving equations (2), ) l element represents its failure rate. Various reliability requirements with respect to business along with basic understanding of cloud reliability concepts are detailed in this chapter. (P G) College , : Services or data are hosted on remote infrastruct, : Services or data are available from any, High levels of automation, reducing operations costs and administrative over, IT teams in the organization may have to invest in buyi, Security is a significant concern in public clouds, To manage a request queue that receives job requests from different, To manage computing resources (such as PCs, Clusters, Superco. Cloud Computing approaches will spread because of lower TCO and higher flexibility (business, technical) Cloud Computing will massively change the future IT â¦ The algorithm illustrates the potential power of quantum computation, as there is no known efficient classical method for solving this problem. Markov model for the request queue. Cloud resources are â¦ However, it is still a daunting task to manually manage federated container clusters across all the service areas or to maintain the entire topology of cloud applications at a glance. We present an expressive core language for secure cloud computing, with primitive types, conditionals, standard functional features, mutable state, and a secrecy preserving form of general recursion. In addition, fog-computing adoption is important for serving an environment for industry to execute, monitor, and analyze a large form of data in a fog landscape. The rapid increase of data generated has brought challenges on data quality level. Otherwise, new requests have to, dropped and the user is unable to get service, which is ca, result, those timeout requests will be dropped from the queue. At state N, the arrival of a new request will make the request queue overflow, so the request is dropped and the queue still stays at state N. The service rate. When the job is finished, the results will return to the user, failure, Hardware failure, and Network failure. Cloud Computing offers online development and deployment tools, programming runtime environment through Platform as a Service model . Resource sharing and virtualization can also be mentioned as additional main factors contributing to or augmenting cross-site scripting and other cloud vulnerabilities. In this work, we will discuss the potential flaws of this infrastructure and examine how they may deteriorate the security and reliability levels of the cloud environments. Cloud computing now is everywhere. Examples show how the MMDD models are generated and evaluated to obtain the system-state probabilities. Reliability and high availability in cloud computing environments: a reference roadmap Mohammad Reza Mesbahi1,Amir Masoud Rahmani1,2* and Mehdi â¦ This paper investigates all of them to achieve a complete picture about grid service reliability. A Hierarchical Modeling and Analysis for Grid Service Reliability, Reliability of Computer Systems and Networks: Fault Tolerance, Analysis, and Design, A study of operational and testing reliability in software reliability analysis, Computing System Reliability Models and Analysis, A New Decision-Diagram-Based Method for Efficient Analysis on Multistate Systems, The Grid: Blueprint for a New Computing Infrastructure, The shallow analysis of the enlightenment of Cloud Computing to distance education, TOSCA-Based and Federation-Aware Cloud Orchestration for Kubernetes Container Platform, Data Integrity Service in Multi-cloud and Distributed Cloud Storage Environment. Join ResearchGate to find the people and research you need to help your work. Performance Challenges in Cloud Computing Shailesh Paliwal Cloud computing is important for the todayâs demanding business requirements. Grid computing system is different from conventional distributed computing systems by its focus on large-scale resource sharing, where remote accessing and information communication have great influence on grid computing. Although research on formalization and verification has improved trust in Web services, issues such as high availability and security are not fully addressed. Encryption is a cryptographic technique to secure information that is being transmitted over the network. This chapter deals with the reliability aspect of cloud environments. reliable. Multistate systems can model many practical systems in a wide range of real applications. the foundations of the next generation of computing. reliability in cloud computing is not so much easy task. The latter always consists in having different variants of our services; but unlike the first, we have a single model and the implementations differ at the language, source code and binaries levels. Mere attachment of this tag will exhibit the perceived characteristics such as trustworthiness and consistent performance. The recent report carried out by Mobile Data Association (MDA)  shows that the yearly growth of SMS and MMS achieves 30 percent from year 2007 to 2008. Despite the advantages that the cloud platforms bolstered, it suffers from many security issues such as secure communication, consumer authentication, and intrusion caused by attacks. ... firstname.lastname@example.org SAICSIT'18, Sept. 2018, Port Elizabeth, RSA Odusote B. et al. This encryption scheme achieves Girault's trust Level 3 as in traditional public key infrastructure based cryptography, and which is proved to be secure in the, The paper will describe various types of security issues which include confidentiality, integrity and availability of data. In addition, the QCaaS solves the key generation and key distribution problems that emerged through the online negotiation between the communication parties. These facilities make them particularly suitable for deploying in the cloud. reliability of execute stage by (20) . The Nimrod-G resource broker is implemented by leveraging existing technologies such as Globus, and provides new services that are essential for constructing industrial-strength grids. profound technical challenges involved, scale. Cloud reliability â¦ networks [5-6] cannot be simply applied to stud, tractable and effective in addressing such a large an. Because of this limitation, they may be unable to perform their tasks perfectly. cloud service at the execution stage, as follows. Conventional SMS/MMS does not provide any protection, Certificateless public key cryptography with bilinear pairing needs costly operations, which is not appropriate for a practical application. It is fair to say there can be issues with cloud computing performance, connectivity, and security. We analyze t, the queue. However, application development, resource management, and scheduling in these environments continue to be a complex undertaking. Computational grids that couple geographically distributed resources such as PCs, workstations, clusters, and scientific instruments, have emerged as a next generation computing platform for solving large-scale problems in science, engineering, and commerce. Possessing reliability tag for services will help CSPs to outshine their competitors. resources, which contain software faults, see e.g. These security issues relevant to customer data filtering and lost the connection at any time. Software systems are improving in testing phase, while it normally does not change in operational phase. Ac-cording to , small and medium organizations will move to cloud computing â¦ The time that the, The total working time for a hardware element has two parts, calculated as the summation of all communication time, be directly applied here. We define a model of the system and derive more robust functionally equivalent variants that can replace the first one in case of attack. This paper is the first one that presents a hierarchical model for the grid service reliability analysis and evaluation. subtasks when running cannot access the required data. The same way of calcualtion can also be extended to IaaS and PaaS services. We therefore proposed a new formal monitoring methodology that takes into account the risks that our services may face. T, assume that the arrival of submissions of job requests follow a P. Fig. The cloud computing â¦ The aim of this paper is to address the factors that perceived likely to influence the adoption of fog computing in evaluating the data analysis on data transmitted from the ever increases devices. At first security challenges necessitate being addressed ahead of implementing Cloud Computing in an organization. Searchable encryption, Human life style change substantially when the cellular technology goes commercial. Towards an extended misuse case framework for elicitation of cloud dependability requirements, Attack tolerance for services-based applications in the Cloud, Factors Influencing Fog Computing Adoption Based on Quality of Results (QoR) For Heterogeneous Data Analysis: A Proposed Framework, LBCLCT: Location Based Cross Language Cipher Technique, The Perception of Information Security Threats Surrounding the Cloud Computing Environment, Reliability Aspect of Cloud Computing Environment, CCCE: Concepts, Methodologies, Tools, and Applications, Collaboration-based Cloud Computing Security Management Framework, Lucy in the Sky without Diamonds: stealing confidential data in the cloud, Fully homomorphic encryption with relatively small key and ciphertext sizes, Cloud Computing Potability with Risk Assessment, Making cloud computing more secure: Homomorphic encryption, Batch Fully Homomorphic Encryption over the Integers, Information-Flow Control for Programming on Encrypted Data, Quantum Computation and Shor's Factoring Algorithm, The NIST Definition of Cloud Computing ( Draft ) Recommendations of the National Institute of Standards and Technology, Social Computing and Digital Knowledge Ecosystems, service management and automation in hybrid cloud, Heterogeneous signcryption with keyword search for wireless body area network, Usability and performance of secure mobile messaging: M-PKI, An effcient confidentiality preserving scheme using certificateless encryption with high trust level, Implementation of security model in cognitive networks. The term was first used by IBM to define specifications for their mainframe s and originally applied only to hardware . In this thesis, we claim that a good tolerance requires attack detection and continuous monitoring on the one hand; and reliable reaction mechanisms on the other hand. Empirical results show that the MMDD method can offer less computational complexity and simpler model evaluation algorithm than the BDD-based method. An up-and-coming area for study is the security of Cloud Computing, in particular for public clouds what can be provided from the infrastructure and computer resources owned by an outsourced party that provides individuals with services. 2013, Article ID 655710, 12 pages, Cloud Computing: Security and Reliability Issues, Farhad Ahamed, Seyed Shahrestani and Athula Ginige, University of Western Sydney, School of Com, __________________________________________, computing depends on properly addressing, Fig 1. We then focus on data-centric and homomorphic encryption methods that may provide more appropriate solutions in addressing the challenges in cloud computing security and reliability. During the past few years, cloud computing â¦ Cloud computing datacenters comprise of a different stack of components such as physical servers with heterogeneous hardware characteristics â¦ Access scientific knowledge from anywhere. However, prior approaches for programming on encrypted data involve restrictive models such as boolean circuits, or standard languages that do not guarantee secure execution of all expressible programs. The framework of this study could also be influencing and inhibiting the adoption of fog computing. The hierarchical modeling is mapped to the physical and logical architecture of the grid service system and makes the evaluation and calculation tractable by identifying the independence among layers. 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