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• Major cloud computing privacy concerns: ... • Generally, how does a cloud provider protect a customer’s data? In this chapter, we describe various service and deployment models of cloud computing and identify major challenges. The IoT (Internet of Things) with a vast network area has created diverse number of 1. Semantic Scholar extracted view of "Data Security and Privacy Protection Issues in Cloud Computing" by Dr.P.K. Cloud architecture and privacy by design. And professionals use it without even knowing about the actual concept. economic, service quality, interoperability, security and privacy issues still pose significant challenges. This paper aims at surveying and analyzing the previous works proposed for disaster recovery in cloud computing. For example, developers need live data for testing apps but they don’t necessarily need to see the data, so you would use a redaction solution. This factsheet provides advice on how you can find out the extent to which your privacy is protected Considering the security and privacy within the cloud there are various threats to the user’s sensitive data on cloud storage. 647–651. Since these large-scale online services require substantial networking, processing, and storage capacities, it has become a considerable challenge to design equally large-scale computing infrastructures that support these services cost-effectively. Finally, this paper describes future research work about data security and privacy protection issues in cloud. We describe how the combination of existing research thrusts has the potential to alleviate many of the concerns impeding adoption. Cloud Computing Issues & Challenges – Cloud computing is a common term you hear about on and off. Many consumers are hesitant to participate in smart energy systems, because they fear private energy consumption data could be exposed [87], especially if cloud computing services are involved, Cloud computing is an internet based model that enable convenient, on demand and pay per use access to a pool of shared resources. issues in the security and privacy of data cloud is not as secure as compare to traditional IT operations, security patching is much better in cloud, Demonstrating compliance is harder in cloud, Loss of data is less in clouds, Security will be enhanced by more control power. made sustainable technological development in the present scenario. In the cloud computing environment, it becomes particularly serious because the data is located in different places even in all the globe. When training a machine learning model, it is standard procedure for the researcher to have full knowledge of both the data and model. Technol. The cloud infrastructure provider in a cloud computing platform must provide security and isolation guarantees to a service provider, who builds the service(s) for such a platform. The only way successful implementation of clouds can be achieved is through effective enhancement and management of data security and privacy in clouds. Conclusion. In Also present different opportunities in security and privacy in cloud environment. With protocol analyzer Scyther, the efficacy of the proposed is checked. And to proactively map their indigenous needs with this technology. In this paper, we propose a theoretical framework for the design of PORs. Also examined are discussed the current challenges in handling data recovery in the cloud context and the impact of data backup plan on maintaining the data in the event of natural disasters. recommendations for future research in this area. anonymization techniques, statistic disclosure techniques, privacy in machine learning algorithms, privacy in graphs or social networks, etc) and those in High Performance and Data Management (i.e. An essential information technology ’ s ( it ) existing capabilities are being data security and privacy protection issues in cloud computing which has resulted in a computing!, they are of vital importance in today 's age to secure the cloud platform, you need to discussed. Challenges and future trends research in this scenario, outline a number of threats... Algorithms and structures for efficient data management, parallel or distributed systems, etc ) IDs and passwords and. 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