scholarly journals Data Centric Access Security- an Improvised Technique to Achieve Security in Cloud Environment

2019 ◽  
Vol 9 (1) ◽  
pp. 1394-1399
Keyword(s):  
Cloud Computing ◽  
Data Privacy ◽  
Privacy And Security ◽  
Security Issues ◽  
Virtualization Technology ◽  
Technological Developments ◽  
A Charge ◽  
Effective Use ◽  
Good Substitute ◽  
Access Resource

Cloud computing innovation has now turned into a good substitute to traditional computing technological developments This advancement of technology offers a new concept of a charge-per-use access resource model based primarily on virtualization technology. Because of the numerous advantages they offer, cloud computing concepts are achieving rapid adoption. This would comprise price-efficiency, time involved, and effective use of assets in computation. Given these advantages, there are many barriers to the widespread acceptance of this emerging technology, particularly data privacy and security issues. In extension to the conventional security hazards faced by internet-connected computer systems, cloud systems have relevant privacy and security problems due to the virtualization and multi-tenancy environment of the cloud. A further research target is focused on principles of Trust Computing (TC). Although these techniques offer users with mechanisms for evaluating and assessing security, they do not yield enough controlling functionality for users. In addition, Data Centric Security (DCS) is an evolving strategy intended to protect the data itself against migration towards the cloud.

Cloud Security Issues and Challenges

2018 ◽  
pp. 77-92 ◽  
Author(s):  
Srinivas Sethi ◽  
Sai Sruti
Keyword(s):  
Cloud Computing ◽  
Data Privacy ◽  
Cloud Service ◽  
Cloud Security ◽  
Third Party ◽  
Service Users ◽  
Privacy And Security ◽  
Security Issues ◽  
Model Cloud ◽  
The Cost

Cloud computing refers to the basic setup for an emerging model of service delivery, that has the advantage of decreasing the cost by sharing computing, infrastructure including storage resources. This can be combined with on-demand delivery mechanism relying on a pay-per-use model. Cloud computing offers an added level of risk because of essential services provided by it to a third party, which makes it difficult to maintain data privacy and security. Security in cloud computing is a critical aspect, which has various issues and challenges related to it. Cloud service providers/ brokers and the cloud service users should make aware of safety cloud. That is the cloud is safe enough from all kinds of the threats, so that the users do not face any problem like; loss of data or data theft. There is a possibility that, a malicious user can enters the cloud by imitating an authentic user, thus corrupt the entire cloud. It can affect many users who are sharing these types of clouds. This chapter mentions the list of parameters that disturb the security of the cloud. This also explores the cloud security issues and challenges faced by cloud service provider/brokers and cloud service users like; data, privacy, and infected application. Finally, it discusses the countermeasure for handling these issues and its challenges.

Cloud Security Issues and Challenges

2017 ◽  
pp. 89-104 ◽  
Author(s):  
Srinivas Sethi ◽  
Sai Sruti
Keyword(s):  
Cloud Computing ◽  
Data Privacy ◽  
Cloud Service ◽  
Cloud Security ◽  
Third Party ◽  
Service Users ◽  
Privacy And Security ◽  
Security Issues ◽  
Model Cloud ◽  
The Cost

Cloud computing refers to the basic setup for an emerging model of service delivery, that has the advantage of decreasing the cost by sharing computing, infrastructure including storage resources. This can be combined with on-demand delivery mechanism relying on a pay-per-use model. Cloud computing offers an added level of risk because of essential services provided by it to a third party, which makes it difficult to maintain data privacy and security. Security in cloud computing is a critical aspect, which has various issues and challenges related to it. Cloud service providers/ brokers and the cloud service users should make aware of safety cloud. That is the cloud is safe enough from all kinds of the threats, so that the users do not face any problem like; loss of data or data theft. There is a possibility that, a malicious user can enters the cloud by imitating an authentic user, thus corrupt the entire cloud. It can affect many users who are sharing these types of clouds. This chapter mentions the list of parameters that disturb the security of the cloud. This also explores the cloud security issues and challenges faced by cloud service provider/brokers and cloud service users like; data, privacy, and infected application. Finally, it discusses the countermeasure for handling these issues and its challenges.

scholarly journals A Secure Ciphertext Retrieval Scheme against Insider KGAs for Mobile Devices in Cloud Storage

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Run Xie ◽  
Chanlian He ◽  
Dongqing Xie ◽  
Chongzhi Gao ◽  
Xiaojun Zhang
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Data Privacy ◽  
Security Analysis ◽  
Data Retrieval ◽  
Sensitive Data ◽  
Encrypted Data ◽  
Security Issues ◽  
Efficiency Comparison ◽  
Cloud Servers

With the advent of cloud computing, data privacy has become one of critical security issues and attracted much attention as more and more mobile devices are relying on the services in cloud. To protect data privacy, users usually encrypt their sensitive data before uploading to cloud servers, which renders the data utilization to be difficult. The ciphertext retrieval is able to realize utilization over encrypted data and searchable public key encryption is an effective way in the construction of encrypted data retrieval. However, the previous related works have not paid much attention to the design of ciphertext retrieval schemes that are secure against inside keyword-guessing attacks (KGAs). In this paper, we first construct a new architecture to resist inside KGAs. Moreover we present an efficient ciphertext retrieval instance with a designated tester (dCRKS) based on the architecture. This instance is secure under the inside KGAs. Finally, security analysis and efficiency comparison show that the proposal is effective for the retrieval of encrypted data in cloud computing.

Design Challenges of Cloud Computing

Web Services ◽  
2019 ◽  
pp. 351-376
Author(s):  
Mouna Jouini ◽  
Latifa Ben Arfa Rabai
Keyword(s):  
Cloud Computing ◽  
Business Owners ◽  
Public Utility ◽  
The Internet ◽  
New Paradigm ◽  
Service Demand ◽  
Security Issues ◽  
Key Concepts ◽  
Virtualization Technology ◽  
Design Challenges

Cloud computing has recently emerged as a new paradigm of computing for hosting and delivering services over the Internet. It replaces computing as a personal commodity by computing as a public utility. It is attractive solution to business owners as it eliminates the requirement for users to plan ahead for provisioning, and allows enterprises to start from the small and increase resources only when there is a rise in service demand. However, despite the significant benefits, these technologies present many challenges including lack of security. The chapter presents an advanced survey focusing on cloud computing concept. It highlights its key concepts and presents a physical architecture of this environment. Finally, the chapter defines virtualization technology as a factor for cloud computing surge and discuses security issues that damage these systems. The aim of this chapter is to provide a better understanding of the design challenges of cloud computing.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

scholarly journals An Enhanced Methodology on Internet of Things with Cloud in Smart Electrical Systems

2019 ◽  
Vol 8 (3) ◽  
pp. 2295-2299
Keyword(s):  
Internet Of Things ◽  
Performance Management ◽  
Data Privacy ◽  
Homomorphic Encryption ◽  
Human Life ◽  
Vital Role ◽  
Electrical System ◽  
Privacy And Security ◽  
Security Issues ◽  
Electrical Systems

The smart management system plays a vital role in many domains and improves the reliability of protection and privacy of a system. Electrical systems have become a part in everyday human life. The next generation electrical systems will entirely depends on fully automated and smart control systems. In the present paper various mechanisms of cloud gateways and security issues are explored for smart management of an electrical system. The present survey work is reconnoitred with Internet of Things (IoT) in association with cloud. Cloud based IoT in smart electrical system provides potential enhancement of performance, management, and resilience of the smart system. However, the espousal of cloud based IoT system in smart electrical system to store and retrieve the data from cloud may increase risks in data privacy and security. Despite the different flaws in global integration of cloud with IoT through internet, various end-to-end security schemes are discussed to overcome these flaws. As a result in many of the applications easy IoT cloud gateway along with homomorphic encryption technique is set up to solve communication overheads and security issues.

scholarly journals Privacy and Security in Data-Driven Urban Mobility

2019 ◽  
pp. 106-128 ◽  
Author(s):  
Rajendra Akerkar
Keyword(s):  
Privacy Protection ◽  
Data Privacy ◽  
Evidence Base ◽  
Urban Mobility ◽  
Privacy And Security ◽  
Security Issues ◽  
Wide Range ◽  
Beneficial Uses ◽  
Smart Mobility ◽  
Data Privacy Protection

A wide range of smart mobility technologies are being deployed within urban environment. These technologies generate huge quantities of data, much of them in real-time and at a highly granular scale. Such data about mobility, transport, and citizens can be put to many beneficial uses and, if shared, for uses beyond the system and purposes for which they were generated. Jointly, these data create the evidence base to run mobility services more efficiently, effectively, and sustainably. However, generating, processing, analyzing, sharing, and storing vast amounts of actionable data also raises several concerns and challenges. For example, data privacy, data protection, and data security issues arise from the creation of smart mobility. This chapter highlights the various privacy and security concerns and harms related to the deployment and use of smart mobility technologies and initiatives, and makes suggestions for addressing apprehensions about and harms arising from data privacy, protection, and security issues.

scholarly journals Research on Security Architecture in Mobile Cloud Computing to Prevent Adaptive Anomaly Attacks

2019 ◽  
Vol 8 (6S4) ◽  
pp. 942-947
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Security ◽  
Data Privacy ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Data Accessibility ◽  
Security Issues ◽  
Wide Range ◽  
Rapid Pace

Cloud Computing is a very viable data storage structure where the users can store and access the data from anywhere. Cloud computing use is increasing at a very rapid pace nowadays. But as cloud allows us data accessibility quite easily data security is a major concern and is an emerging area of study. Other issues related to cloud computing are data privacy and internet dependency. On the other cloud computing also has wide range of benefits over traditional storage and accessibility environment such as scalability, flexibility and resource utilization. We have worked in the area of mobile cloud computing to analyse and solve the problems of anomaly attacks. Our work focuses on preventing the adaptive anomaly attacks and some other security issues of cloud computing

scholarly journals A Novel Fog-IoT based Framework for Improving Performance of Cloud Computing

2019 ◽  
Vol 8 (12S) ◽  
pp. 889-895
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Secure Communication ◽  
Fog Computing ◽  
Cloud Service ◽  
Raspberry Pi ◽  
New Paradigm ◽  
Privacy And Security ◽  
Security Issues ◽  
Iot Devices

Internet-of-Things (IoT) has been considered as a fundamental part of our day by day existence with billions of IoT devices gathering information remotely and can interoperate within the current Internet framework. Fog computing is nothing but cloud computing to the extreme of network security. It provides computation and storage services via CSP (Cloud Service Provider) to end devices in the Internet of Things (IoT). Fog computing allows the data storing and processing any nearby network devices or nearby cloud endpoint continuum. Using fog computing, the designer can reduce the computation architecture of the IoT devices. Unfortunitily, this new paradigm IoT-Fog faces numerous new privacy and security issues, like authentication and authorization, secure communication, information confidentiality. Despite the fact that the customary cloud-based platform can even utilize heavyweight cryptosystem to upgrade security, it can't be performed on fog devices drectly due to reseource constraints. Additionally, a huge number of smart fog devices are fiercely disseminated and situated in various zones, which expands the danger of being undermined by some pernicious gatherings. Trait Based Encryption (ABE) is an open key encryption conspire that enables clients to scramble and unscramble messages dependent on client qualities, which ensures information classification and hearty information get to control. Be that as it may, its computational expense for encryption and unscrambling stage is straightforwardly corresponding to the multifaceted nature of the arrangements utilized. The points is to assess the planning, CPU burden, and memory burden, and system estimations all through each phase of the cloud-to-things continuum amid an analysis for deciding highlights from a finger tapping exercise for Parkinson's Disease patients. It will be appeared there are confinements to the proposed testbeds when endeavoring to deal with upwards of 35 customers at the same time. These discoveries lead us to a proper conveyance of handling the leaves the Intel NUC as the most suitable fog gadget. While the Intel Edison and Raspberry Pi locate a superior balance at in the edge layer, crossing over correspondence conventions and keeping up a self-mending network topology for "thing" devices in the individual territory organize.

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