scholarly journals Secured Processing of Data Over Cloud using Disjoint Multi Attribute Authority Scheme for Key Generation

2020 ◽  
Vol 9 (5) ◽  
pp. 2230-2233
Keyword(s):  
Data Access ◽  
Cloud Services ◽  
Third Party ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Key Generation ◽  
Multiple Attribute ◽  
Efficient Data ◽  
Small File ◽  
Selection Of

Cloud computing being the extensive technology used across globe for data sharing. The data may vary from small file to a highly confidential file consisting of various sensitive information stored in it. Since the cloud services are provided by the third party vendors, users are very much concerned about the security and privacy of the data and data access details. The users wants their traceability to be hidden by the cloud vendors. The biggest challenge is to share the data in a most secured way by encrypting and also preserving the anonymity of the users in cloud from the vendors. This paper addresses the issue by proposing a multi attribute authority in key generations of users, where the few sub sets of attributes will be used by multiple attribute authorities randomly and hence masking of the selection of attributes from various authorities and providing a mechanism for efficient data distribution in cloud by preserving the anonymity of the users.

scholarly journals Key Generation Techniques to Ensure User Data Integrity in Cloud Environments

2018 ◽  
Vol 7 (3.34) ◽  
pp. 606
Author(s):  
Yoon Su Jeong ◽  
Sang Ho Lee
Keyword(s):  
Data Integrity ◽  
Cloud Services ◽  
Third Party ◽  
Security Evaluation ◽  
Time Interval ◽  
Sensitive Information ◽  
Generation Process ◽  
Key Generation ◽  
Data Generation ◽  
Cloud Environment

Background/Objectives: Cloud services are becoming popular with many users as they provide services based on the Internet. Users who use cloud services can integrate computing resources such as hardware and software, which exist in intangible form, through virtualization technology, and there is a great demand for security technologies related to security problems.Methods/Statistical analysis: As a result of the evaluation, the proposed method in the security evaluation and the performance evaluation resulted in better data integrity and security than the existing method. In addition, we checked the integrity of different cloud data and obtained the efficiency improved by O (logn) than the existing method.Findings: In this paper, we propose a robust data integrity protection scheme for various security attacks in the cloud environment. The proposed method effectively guarantees the integrity of the data used by the user through the generation and processing of low-load keys between the TPA, the user and the KGC. To protect the integrity of the data transmitted and received in the cloud environment, the proposed method generates the key through three processes (data generation process, encryption key generation process, and metadata attribute key pair generation process).Improvements/Applications: The key generated in this process is used by the anonymous key so that sensitive information of the cloud user is not exposed to a third party so that the important information of the user is not remembered. In addition, the proposed scheme keeps synchronization between the TPA and the user at a predetermined time interval so that the important information of the user is not illegally exploited from the third party.  

scholarly journals Device-Based Security to Improve User Privacy in the Internet of Things †

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2664 ◽  
Author(s):  
Luis Belem Pacheco ◽  
Eduardo Pelinson Alchieri ◽  
Priscila Mendez Barreto
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Single Point ◽  
Data Access ◽  
Cloud Services ◽  
Sensitive Information ◽  
User Privacy ◽  
Privacy And Security ◽  
Iot Devices ◽  
And Control

The use of Internet of Things (IoT) is rapidly growing and a huge amount of data is being generated by IoT devices. Cloud computing is a natural candidate to handle this data since it has enough power and capacity to process, store and control data access. Moreover, this approach brings several benefits to the IoT, such as the aggregation of all IoT data in a common place and the use of cloud services to consume this data and provide useful applications. However, enforcing user privacy when sending sensitive information to the cloud is a challenge. This work presents and evaluates an architecture to provide privacy in the integration of IoT and cloud computing. The proposed architecture, called PROTeCt—Privacy aRquitecture for integratiOn of internet of Things and Cloud computing, improves user privacy by implementing privacy enforcement at the IoT devices instead of at the gateway, as is usually done. Consequently, the proposed approach improves both system security and fault tolerance, since it removes the single point of failure (gateway). The proposed architecture is evaluated through an analytical analysis and simulations with severely constrained devices, where delay and energy consumption are evaluated and compared to other architectures. The obtained results show the practical feasibility of the proposed solutions and demonstrate that the overheads introduced in the IoT devices are worthwhile considering the increased level of privacy and security.

scholarly journals MACHINE LEARNING APPROACH FOR CRYPTOSYSTEM SUGGEST IN EDUCARE OVER CLOUDS

2021 ◽  
Vol 9 (6) ◽  
pp. 98-103
Author(s):  
Ravish G K ◽  
Thippeswamy K
Keyword(s):  
Machine Learning ◽  
Research Work ◽  
Cloud Services ◽  
Learning System ◽  
Security And Privacy ◽  
Great Promise ◽  
Sensitive Information ◽  
Online Systems ◽  
Machine Learning Approach ◽  
Time Requirements

In the current situation of the pandemic, global organizations are turning to online functionality to ensure survival and sustainability. The future, even though uncertain, holds great promise for the education system being online. Cloud services for education are the center of this research work as they require security and privacy. The sensitive information about the users and the institutions need to be protected from all interested third parties. since the data delivery on any of the online systems is always time sensitive, the have to be fast. In previous works some of the algorithms were explored and statistical inference based decision was presented. In this work a machine learning system is designed to make that decision based on data type and time requirements.

scholarly journals Privacy Preservation of Healthcare Data in Hybrid Cloud using a Hybrid Meta-Heuristics Based Sanitization Technique

2019 ◽  
Vol 8 (4) ◽  
pp. 2882-2890
Keyword(s):  
Side Effects ◽  
Search Algorithm ◽  
Cloud Model ◽  
Gravitational Search Algorithm ◽  
Data Access ◽  
Privacy Preserving ◽  
Cloud Services ◽  
Sensitive Information ◽  
Hybrid Cloud ◽  
Healthcare Data

Over the recent years, the expansion of cloud computing services enable hospitals and institutions to transit their healthcare data to the cloud, thus it provides the worldwide data access and on-demand high quality services at a cheaper rate. Despite the benefits of healthcare cloud services, the associated privacy issues are widely concerned by individuals and governments. Privacy risks rise when outsourcing personal healthcare records to cloud due to the sensitive nature of health information and the social and legal implications for its disclosure. Over the recent years, a privacy-preserving data mining (PPDM) technique has become a critical issue for the problems. Our goal is to design a privacy-preserving outsourcing framework under the hybrid cloud model. In this work we propose a Hybrid Ant Colony Optimization and Gravitational Search Algorithm (ACOGSA) to express the problem of hiding sensitive data through transaction deletion. Thus, it reduces the side effects of the hybrid cloud. Substantive experiments will be carried to compare the performance of the designed algorithm with the state-of-the-art approaches in terms of the side effects and database similarity (integrity). Over the past to sanitize the databases used for hiding sensitive information, a few heuristic approaches have been proposed. The method used for the comparison involves GA, PSO, ACO, and Firefly framework.

A Secure and Privacy-Preserving Approach to Protect User Data across Cloud based Online Social Networks

2021 ◽  
pp. 560-585
Author(s):  
Neelu khare ◽  
Kumaran U.
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Data Access ◽  
Privacy Preserving ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Privacy Concerns ◽  
Attribute Based Encryption ◽  
User Data ◽  
Trapdoor Function

The tremendous growth of social networking systems enables the active participation of a wide variety of users. This has led to an increased probability of security and privacy concerns. In order to solve the issue, the article defines a secure and privacy-preserving approach to protect user data across Cloud-based online social networks. The proposed approach models social networks as a directed graph, such that a user can share sensitive information with other users only if there exists a directed edge from one user to another. The connectivity between data users data is efficiently shared using an attribute-based encryption (ABE) with different data access levels. The proposed ABE technique makes use of a trapdoor function to re-encrypt the data without the use of proxy re-encryption techniques. Experimental evaluation states that the proposed approach provides comparatively better results than the existing techniques.

scholarly journals Universal Keyword Classifier on Public Key Based Encrypted Multikeyword Fuzzy Search in Public Cloud

2015 ◽  
Vol 2015 ◽  
pp. 1-17
Author(s):  
Shyamala Devi Munisamy ◽  
Arun Chokkalingam
Keyword(s):  
Cloud Storage ◽  
Data Access ◽  
Cloud Services ◽  
Third Party ◽  
Public Cloud ◽  
Data Utilization ◽  
Storage Server ◽  
Fuzzy Search ◽  
Private Data ◽  
Fuzzy Searching

Cloud computing has pioneered the emerging world by manifesting itself as a service through internet and facilitates third party infrastructure and applications. While customers have no visibility on how their data is stored on service provider’s premises, it offers greater benefits in lowering infrastructure costs and delivering more flexibility and simplicity in managing private data. The opportunity to use cloud services on pay-per-use basis provides comfort for private data owners in managing costs and data. With the pervasive usage of internet, the focus has now shifted towards effective data utilization on the cloud without compromising security concerns. In the pursuit of increasing data utilization on public cloud storage, the key is to make effective data access through several fuzzy searching techniques. In this paper, we have discussed the existing fuzzy searching techniques and focused on reducing the searching time on the cloud storage server for effective data utilization. Our proposedAsymmetric Classifier Multikeyword Fuzzy Searchmethod provides classifier search server that creates universal keyword classifier for the multiple keyword request which greatly reduces the searching time by learning the search path pattern for all the keywords in the fuzzy keyword set. The objective of using BTree fuzzy searchable index is to resolve typos and representation inconsistencies and also to facilitate effective data utilization.

scholarly journals Multi-Authority Criteria-Based Encryption Scheme for IoT

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jianguo Sun ◽  
Yang Yang ◽  
Zechao Liu ◽  
Yuqing Qiao
Keyword(s):  
Data Access ◽  
Sensitive Information ◽  
Time Data ◽  
Access Policy ◽  
Fine Grained ◽  
Data Access Control ◽  
Diffie Hellman ◽  
Efficient Data ◽  
Real Time Data Processing ◽  
Ciphertext Policy

Currently, the Internet of Things (IoT) provides individuals with real-time data processing and efficient data transmission services, relying on extensive edge infrastructures. However, those infrastructures may disclose sensitive information of consumers without authorization, which makes data access control to be widely researched. Ciphertext-policy attribute-based encryption (CP-ABE) is regarded as an effective cryptography tool for providing users with a fine-grained access policy. In prior ABE schemes, the attribute universe is only managed by a single trusted central authority (CA), which leads to a reduction in security and efficiency. In addition, all attributes are considered equally important in the access policy. Consequently, the access policy cannot be expressed flexibly. In this paper, we propose two schemes with a new form of encryption named multi-authority criteria-based encryption (CE) scheme. In this context, the schemes express each criterion as a polynomial and have a weight on it. Unlike ABE schemes, the decryption will succeed if and only if a user satisfies the access policy and the weight exceeds the threshold. The proposed schemes are proved to be secure under the decisional bilinear Diffie–Hellman exponent assumption (q-BDHE) in the standard model. Finally, we provide an implementation of our works, and the simulation results indicate that our schemes are highly efficient.

scholarly journals Blockchain’s potential to address issues in genomics research and how it is being used today

2020 ◽  
pp. 13-15
Author(s):  
Tony Jung ◽  
Richard Leu
Keyword(s):  
Single Point ◽  
Genomic Data ◽  
Cloud Services ◽  
Third Party ◽  
Sensitive Information ◽  
Process Data ◽  
Privacy Concerns ◽  
Genomics Research ◽  
Multiple Copies ◽  
Computational Resources

Advancements in technology have greatly decreased the costs of genome sequencing and expedited the entire sequencing process. As a result, there has been a significant increase in the volume of genomic data. Although this is useful for genomics research, there are two major concerns with this increase in data. First, the greater volume of genomic data requires a substantial amount of computational resources to process and store this data. While cloud services can seem like an effective solution to process and store this data, cloud services aggregate their information in one data center which results in the risk of a single point of failure. With the increase in genomic data, there is also an increase in privacy concerns because genomic data contains personal and sensitive information. People are not comfortable with large companies that store genomic data and people do not want this data shared with the public. Blockchain is a network that can utilize numerous computers to process data and store multiple copies of the database to eliminate the risk of a single point of failure. The blockchain is also a decentralized network which means that it is not regulated by a third party. This allows the data contributors to have full ownership of their genomic data and can decide who can access it. Today, there are several companies that have realized the advantages of blockchain and adopted this technology to store genomic data and give data contributors full control over this data.

scholarly journals Concisely Indexed Multi-Keyword Rank Search on Encrypted Cloud Documents

2021 ◽  
Vol 11 (23) ◽  
pp. 11529
Author(s):  
Tai-Lin Chin ◽  
Wan-Ni Shih
Keyword(s):  
Keyword Search ◽  
Low Cost ◽  
High Capacity ◽  
Cloud Services ◽  
Third Party ◽  
Security And Privacy ◽  
Large Dataset ◽  
Cloud Data ◽  
Space Efficiency ◽  
Privacy Problem

With the advent of cloud computing, the low-cost and high-capacity cloud storages have attracted people to move their data from local computers to the remote facilities. People can access and share their data with others at anytime, from anywhere. However, the convenience of cloud storages also comes with new problems and challenges. This paper investigates the problem of secure document search on the cloud. Traditional search schemes use a long index for each document to facilitate keyword search in a large dataset, but long indexes can reduce the search efficiency and waste space. Another concern to prevent people from using cloud storages is the security and privacy problem. Since cloud services are usually run by third party providers, data owners desire to avoid the leakage of their confidential information, and data users desire to protect their privacy when performing search. A trivial solution is to encrypt the data before outsourcing the data to the cloud. However, the encryption could make the search difficult by plain keywords. This paper proposes a secure multi-keyword search scheme with condensed index for encrypted cloud documents. The proposed scheme resolves the issue of long document index and the problem of searching documents over encrypted data, simultaneously. Extended simulations are conducted to show the improvements in terms of time and space efficiency for cloud data search.

scholarly journals A Survey: Attribute Based Encryption for Secure Cloud

IJOSTHE ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 12
Author(s):  
Aayushi Priya ◽  
Rajeev Tiwari
Keyword(s):  
Cloud Computing ◽  
Data Privacy ◽  
Data Access ◽  
Cloud Services ◽  
Sensitive Information ◽  
Access Policy ◽  
Private Key ◽  
Cipher Text ◽  
Data Access Control ◽  
Attribute Based Encryption

Cloud computing is an enormous area which shares huge amount of data over cloud services and it has been increasing with its on-demand technology. Since, with these versatile cloud services, when the delicate data stored within the cloud storage servers, there are some difficulties which has to be managed like its Security Issues, Data Privacy, Data Confidentiality, Data Sharing and its integrity over the cloud servers dynamically. Also, the authenticity and data access control should be maintained in this wide environment. Thus, Attribute based Encryption (ABE) is a significant version of cryptographic technique in the cloud computing environment. Public Key Encryption acts as the basic technique for ABE where it provides one to many encryptions, here, the private key of users & the cipher-text both rely on attributes such that, when the set of the attributes of users key matches set of attributes of cipher-text with its corresponding access policy, only then decryption is possible. Thus, an opponent could grant access to the sensitive information that holds multiple keys, if it has at least one individual key for accession. The techniques based on ABE consist of two types: KP-ABE (Key- Policy ABE) where the user’s private key is linked to an access structure (or access policy) over attributes and cipher-text is connected to the set of attributes, and CP-ABE (cipher-text policy ABE) is vice versa. Hence, in this, Review we discuss about the various security techniques and relations based on Attributes Based Encryption, especially, the type KP-ABE over data attributes which explains secured methods & its schemes related to time specifications.

Sign in / Sign up

Export Citation Format

Share Document