689 research outputs found
Access of Encrypted Personal Record in Cloud
Personal record is a data, which is collected and stored in cloud computing to gain cost benefit and better access control. In maintaining Personal Record, cloud computing plays an important role, since minor organizations are not affordable to keep own servers to maintain the personal record for cost and security aims. Providing availability to various stake holders become a deadly process in isolated individual servers with encryption technology. Cloud ensures that personal record availability to the necessary user at any point of time. In any country, there is a law which governs to maintain privacy of special records, and hence maintaining recodes in cloud are subjected to privacy concerns and high risk of getting exploited. There are various encryption schemes to provide personal records security and privacy in Cloud computing. Extensive logical and experimental results are presented which show the security, scalability and efficiency of our proposed scheme.
DOI: 10.17762/ijritcc2321-8169.15016
A Proposed Access Control-Based Privacy Preservation Model to Share Healthcare Data in Cloud
Healthcare data in cloud computing facilitates the treatment of patients
efficiently by sharing information about personal health data between the
healthcare providers for medical consultation. Furthermore, retaining the
confidentiality of data and patients' identity is a another challenging task.
This paper presents the concept of an access control-based (AC) privacy
preservation model for the mutual authentication of users and data owners in
the proposed digital system. The proposed model offers a high-security
guarantee and high efficiency. The proposed digital system consists of four
different entities, user, data owner, cloud server, and key generation center
(KGC). This approach makes the system more robust and highly secure, which has
been verified with multiple scenarios. Besides, the proposed model consisted of
the setup phase, key generation phase, encryption phase, validation phase,
access control phase, and data sharing phase. The setup phases are run by the
data owner, which takes input as a security parameter and generates the system
master key and security parameter. Then, in the key generation phase, the
private key is generated by KGC and is stored in the cloud server. After that,
the generated private key is encrypted. Then, the session key is generated by
KGC and granted to the user and cloud server for storing, and then, the results
are verified in the validation phase using validation messages. Finally, the
data is shared with the user and decrypted at the user-end. The proposed model
outperforms other methods with a maximal genuine data rate of 0.91
A HYBRIDIZED ENCRYPTION SCHEME BASED ON ELLIPTIC CURVE CRYPTOGRAPHY FOR SECURING DATA IN SMART HEALTHCARE
Recent developments in smart healthcare have brought us a great deal of convenience. Connecting common objects to the Internet is made possible by the Internet of Things (IoT). These connected gadgets have sensors and actuators for data collection and transfer. However, if users' private health information is compromised or exposed, it will seriously harm their privacy and may endanger their lives. In order to encrypt data and establish perfectly alright access control for such sensitive information, attribute-based encryption (ABE) has typically been used. Traditional ABE, however, has a high processing overhead. As a result, an effective security system algorithm based on ABE and Fully Homomorphic Encryption (FHE) is developed to protect health-related data. ABE is a workable option for one-to-many communication and perfectly alright access management of encrypting data in a cloud environment. Without needing to decode the encrypted data, cloud servers can use the FHE algorithm to take valid actions on it. Because of its potential to provide excellent security with a tiny key size, elliptic curve cryptography (ECC) algorithm is also used. As a result, when compared to related existing methods in the literature, the suggested hybridized algorithm (ABE-FHE-ECC) has reduced computation and storage overheads. A comprehensive safety evidence clearly shows that the suggested method is protected by the Decisional Bilinear Diffie-Hellman postulate. The experimental results demonstrate that this system is more effective for devices with limited resources than the conventional ABE when the system’s performance is assessed by utilizing standard model
Multi - owner Secure Data Sharing in Cloud Computing Environment
Data sharing in the cloud is a technique that allows users to conveniently access data over the cloud. The data owner outsources their data in the cloud due to cost reduction and the great conveniences provided by cloud services. Data owner is not able to control over their data, because cloud service provider is a third party provider. The main crisis with data sharing in the cloud is the privacy and security issues. Various techniques are available to support user privacy and secure data sharing. This paper focus on various schemes to deal with secure data sharing such as Data sharing with forward security, secure data sharing for dynamic groups, Attribute based data sharing, encrypted data sharing and Shared Authority Based Privacy-Preserving Authentication Protocol for access control of outsourced data
A Review on Data Storage Security in Cloud Computing Environment for Mobile devices
Cloud computing is a platform which provides different capabilities which are not just limited to storage, networking and computing capability as a service to users through Internet. Users can automatically request and release these resources on demand, by paying charges for the quantity and quality of service they use. Cloud computing for Mobile which is also referred as Mobile Cloud Computing is combination of mobile with cloud computing that provides user with unlimited access to the pool of different resources from cloud without affecting mobilization of user with his Mobile. As with its advantages it comes with the risk of data read by the cloud service provider or been grabbed by someone else using man-in-middle attack, thus affecting user privacy and integrity and losing users trust further over the service. These issues can be solved by implementing different techniques like encryption, avoiding unauthorized access to user to have access to stored data. Any algorithm or technique used for securing data should consider few important points like Mobile devices are battery powered and have less processing capability and have less storage space. In this paper we reviewed different techniques for secure storage of user’s data in the cloud, their advantages and disadvantages for mobile cloud computing environment.
DOI: 10.17762/ijritcc2321-8169.150514
Decentralized Anonymous User Authentication For Securing Data Storage in Cloud
The main objective of system is secure data storage on clouds. Cloud checks the authentication of the user without knowing the user’s identity. For encryption use Attribute Base Encryption algorithm (ABE) in which encryption is takes place and also set access policies. Decryption is only possible for valid users in Access control policy. System prevents replay attacks because of Attribute Base Signature algorithm (ABS) and provides the facilities for creation, modification, and reading data stored in the cloud. This scheme provides facility for user revocation by that user cannot access the data. Therefore, emphasize that cloud should take a decentralized approach which is robust instead of using access control schemes designed for clouds which are centralized. In this scheme there is one limitation is that the cloud already know the access policy for each record or user stored in the cloud. In future, system can also hide the attributes and access policy of a user.
DOI: 10.17762/ijritcc2321-8169.15010
A Practical Framework for Storing and Searching Encrypted Data on Cloud Storage
Security has become a significant concern with the increased popularity of
cloud storage services. It comes with the vulnerability of being accessed by
third parties. Security is one of the major hurdles in the cloud server for the
user when the user data that reside in local storage is outsourced to the
cloud. It has given rise to security concerns involved in data confidentiality
even after the deletion of data from cloud storage. Though, it raises a serious
problem when the encrypted data needs to be shared with more people than the
data owner initially designated. However, searching on encrypted data is a
fundamental issue in cloud storage. The method of searching over encrypted data
represents a significant challenge in the cloud.
Searchable encryption allows a cloud server to conduct a search over
encrypted data on behalf of the data users without learning the underlying
plaintexts. While many academic SE schemes show provable security, they usually
expose some query information, making them less practical, weak in usability,
and challenging to deploy. Also, sharing encrypted data with other authorized
users must provide each document's secret key. However, this way has many
limitations due to the difficulty of key management and distribution.
We have designed the system using the existing cryptographic approaches,
ensuring the search on encrypted data over the cloud. The primary focus of our
proposed model is to ensure user privacy and security through a less
computationally intensive, user-friendly system with a trusted third party
entity. To demonstrate our proposed model, we have implemented a web
application called CryptoSearch as an overlay system on top of a well-known
cloud storage domain. It exhibits secure search on encrypted data with no
compromise to the user-friendliness and the scheme's functional performance in
real-world applications.Comment: 146 Pages, Master's Thesis, 6 Chapters, 96 Figures, 11 Table
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