scholarly journals An Advanced Hierarchical Attribute Based Encryption Access Control in Mobile Cloud Computing

2018 ◽  
Vol 7 (3.10) ◽  
pp. 18
Author(s):  
Sreelesh N.K ◽  
Santhosh Kumar B J
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Mobile Devices ◽  
Data Storage ◽  
Computing Technique ◽  
Security Issues ◽  
Secure Storage ◽  
Attribute Based Encryption ◽  
Level Data ◽  
Privacy Risks

Cloud computing is a revolutionary computing technique, by which computing resources are provided dynamically via Internet is widely popular. Since the most attractive part of cloud computing is computation outsourcing, it is far beyond enough to just conduct access control. Unfortunately, the data in the cloud is out of user’s control in most cases, privacy risks would rise dramatically due to the access of unauthorized users. The security of the data is the major concern. Coordinating mobile devices into cloud computing is a rising but encouraging illustration. The coordination happens in a cloud based multi-layered client information sharing condition. With the coordination of cloud computing with mobile devices may result in security issues such as information privacy and client rights.The proposed work makes use of a technology using Advanced Hierarchical Attribute Based Encryption (A-HABE) architecture, in which the data storage will be in hierarchical structure and the retrieval of data will also be in the form of access level. Data confidentiality should be guaranteed and the system should be resilient. The secure storage and sharing of data without the fear of an unauthorized access in the cloud can result in growth in many sectors. 

scholarly journals RAPTOR CODE BASED SECURE STORAGE IN CLOUD COMPUTING

2016 ◽  
pp. 276-280
Author(s):  
R. MYTHILI ◽  
P. PRADHEEBA ◽  
P. RAJESHWARI ◽  
S. PADHMAVATHI
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Data ◽  
Security Issues ◽  
Secure Storage ◽  
Distributed Verification ◽  
Outsourced Data ◽  
Proposed Model ◽  
Cloud Data Storage ◽  
Storage Correctness

The end of this decade is marked by a paradigm shift of the industrial information technology towards a pay-peruse service business model known as cloud computing. Cloud data storage redefines the security issues targeted on customer’s outsourced data. To ensure the correctness of users’ data in the cloud, we propose an effective and flexible distributed scheme with two salient features, opposing to its predecessors. By utilizing the homomorphic token with distributed verification of raptor coded data, our scheme achieves the integration of storage correctness insurance and data error localization, i.e., the identification of misbehaving server(s).Using this new scheme it further support security and dynamic operations on data block. Our result shows that, our proposed model provides a secure storage for data in cloud.

scholarly journals Central Controller Framework for Mobile Cloud Computing and Security Issues

2018 ◽  
Vol 7 (2.32) ◽  
pp. 161
Author(s):  
Sk Sk Mahaboob Sharif ◽  
K V.V Satyanarayana ◽  
M Harsha vardhan ◽  
V Harika
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
Cloud Service ◽  
Mobile User ◽  
Mobile Cloud ◽  
Mobile Environment ◽  
Security Issues ◽  
Secure Storage ◽  
Computing Services

Cloud Computing is an on demand service where resources like online office software and on-line storage are made available as per the users requirement. The word cloud in cloud computing is used as a symbol for internet since it offers various computing services as well as resources  like storage, servers, platforms  and applications are provided to devices over the internet. Mobile cloud computing joins the cloud computing with mobile computing and giving the shopper with limitless pool of useful resource from cloud without hampering mobility of consumer. The mobile cloud computing generation is developing rapidly many of the customers and at the equal time it introduces the early protection threats inside. A mobile user storing data on the cloud can be read by the cloud service provider or hacked by man-in-middle attack, thus affecting consumer privateers and integrity. So information saved on the cloud have to be encrypted, disallowing unauthorized user to access saved records. Mobile devices are resource constrained since they are battery powered, have less processing power and have less storage space. Any set of rules or technique used for securing mobile users statistics have to don't forget above constraints for powerful makes use of cloud for portable clients. Most of the mobile devices have nearly equal functionalities, so mobile devices will face some problems associated with security and third parties, by this paper we have given a review of different techniques for secure storage of mobile user’s data in the cloud, their merits and demerits for mobile environment.  

PpBAC

2018 ◽  
Vol 30 (4) ◽  
pp. 14-31 ◽  
Author(s):  
Suyel Namasudra ◽  
Pinki Roy
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Storage ◽  
Control Method ◽  
Cloud Environment ◽  
Authorized User ◽  
Control Scheme ◽  
Control Schemes ◽  
Confidential Data ◽  
Efficient Data

This article describes how nowadays, cloud computing is one of the advanced areas of Information Technology (IT) sector. Since there are many hackers and malicious users on the internet, it is very important to secure the confidentiality of data in the cloud environment. In recent years, access control has emerged as a challenging issue of cloud computing. Access control method allows data accessing of an authorized user. Existing access control schemes mainly focus on the confidentiality of the data storage. In this article, a novel access control scheme has been proposed for efficient data accessing. The proposed scheme allows reducing the searching cost and accessing time, while providing the data to the user. It also maintains the security of the user's confidential data.

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.

scholarly journals Enabling Efficient Decentralized and Privacy Preserving Data Sharing in Mobile Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jiawei Zhang ◽  
Ning Lu ◽  
Teng Li ◽  
Jianfeng Ma
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Mobile Devices ◽  
Data Sharing ◽  
Mobile Cloud Computing ◽  
High Efficiency ◽  
Mobile Cloud ◽  
User Privacy ◽  
Access Policy ◽  
Fine Grained

Mobile cloud computing (MCC) is embracing rapid development these days and able to provide data outsourcing and sharing services for cloud users with pervasively smart mobile devices. Although these services bring various conveniences, many security concerns such as illegally access and user privacy leakage are inflicted. Aiming to protect the security of cloud data sharing against unauthorized accesses, many studies have been conducted for fine-grained access control using ciphertext-policy attribute-based encryption (CP-ABE). However, a practical and secure data sharing scheme that simultaneously supports fine-grained access control, large university, key escrow free, and privacy protection in MCC with expressive access policy, high efficiency, verifiability, and exculpability on resource-limited mobile devices has not been fully explored yet. Therefore, we investigate the challenge and propose an Efficient and Multiauthority Large Universe Policy-Hiding Data Sharing (EMA-LUPHDS) scheme. In this scheme, we employ fully hidden policy to preserve the user privacy in access policy. To adapt to large scale and distributed MCC environment, we optimize multiauthority CP-ABE to be compatible with large attribute universe. Meanwhile, for the efficiency purpose, online/offline and verifiable outsourced decryption techniques with exculpability are leveraged in our scheme. In the end, we demonstrate the flexibility and high efficiency of our proposal for data sharing in MCC by extensive performance evaluation.

scholarly journals A New Secure Model for Data Protection over Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Amr M. Sauber ◽  
Passent M. El-Kafrawy ◽  
Amr F. Shawish ◽  
Mohamed A. Amin ◽  
Ismail M. Hagag
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Data Protection ◽  
Cloud Services ◽  
Security And Privacy ◽  
Storage Model ◽  
Cloud Data ◽  
Security Issues ◽  
Data Owner ◽  
Proposed Model

The main goal of any data storage model on the cloud is accessing data in an easy way without risking its security. A security consideration is a major aspect in any cloud data storage model to provide safety and efficiency. In this paper, we propose a secure data protection model over the cloud. The proposed model presents a solution to some security issues of cloud such as data protection from any violations and protection from a fake authorized identity user, which adversely affects the security of the cloud. This paper includes multiple issues and challenges with cloud computing that impairs security and privacy of data. It presents the threats and attacks that affect data residing in the cloud. Our proposed model provides the benefits and effectiveness of security in cloud computing such as enhancement of the encryption of data in the cloud. It provides security and scalability of data sharing for users on the cloud computing. Our model achieves the security functions over cloud computing such as identification and authentication, authorization, and encryption. Also, this model protects the system from any fake data owner who enters malicious information that may destroy the main goal of cloud services. We develop the one-time password (OTP) as a logging technique and uploading technique to protect users and data owners from any fake unauthorized access to the cloud. We implement our model using a simulation of the model called Next Generation Secure Cloud Server (NG-Cloud). These results increase the security protection techniques for end user and data owner from fake user and fake data owner in the cloud.

scholarly journals Improvement of Privacy and Security in Hybrid Cloud with Attribute Group Based Access Control

2019 ◽  
pp. 57-61
Author(s):  
Kayalvili S ◽  
Sowmitha V
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Storage ◽  
Service Providers ◽  
Cloud Service ◽  
Security Requirements ◽  
Security And Privacy ◽  
Data Outsourcing ◽  
Privacy And Security ◽  
Control Approach

Cloud computing enables users to accumulate their sensitive data into cloud service providers to achieve scalable services on-demand. Outstanding security requirements arising from this means of data storage and management include data security and privacy. Attribute-based Encryption (ABE) is an efficient encryption system with fine-grained access control for encrypting out-sourced data in cloud computing. Since data outsourcing systems require flexible access control approach Problems arises when sharing confidential corporate data in cloud computing. User-Identity needs to be managed globally and access policies can be defined by several authorities. Data is dual encrypted for more security and to maintain De-Centralization in Multi-Authority environment.

A Comprehensive Survey on Techniques Based on TPM for Ensuring the Confidentiality in Cloud Data Centers

2019 ◽  
pp. 446-458
Author(s):  
Arun Fera M. ◽  
M. Saravanapriya ◽  
J. John Shiny
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Research Work ◽  
Computing Systems ◽  
Trusted Platform Module ◽  
Cloud Data ◽  
Secure Storage ◽  
Comprehensive Survey ◽  
Cloud Data Centers ◽  
Trusted Platform

Cloud computing is one of the most vital technology which becomes part and parcel of corporate life. It is considered to be one of the most emerging technology which serves for various applications. Generally these Cloud computing systems provide a various data storage services which highly reduces the complexity of users. we mainly focus on addressing in providing confidentiality to users' data. We are proposing one mechanism for addressing this issue. Since software level security has vulnerabilities in addressing the solution to our problem we are dealing with providing hardware level of security. We are focusing on Trusted Platform Module (TPM) which is a chip in computer that is used for secure storage that is mainly used to deal with authentication problem. TPM which when used provides a trustworthy environment to the users. A detailed survey on various existing TPM related security and its implementations is carried out in our research work.

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