Semantic keyword searchable proxy re‐encryption for postquantum secure cloud storage

Yang, Yang; Zheng, Xianghan; Chang, Victor; Tang, Chunming

doi:10.1002/cpe.4211

Cited by 43 publications

(18 citation statements)

References 25 publications

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“…18 WordNet is a tool created by Princeton University that contains a dictionary including word definitions and their synonyms. For example, Yang et al 61 utilized WordNet to construct a semantic keyword set. Before the query is encrypted and searched with, each query keyword is expanded with the provided synonyms.…”

Section: Ontological Semantic Searchmentioning

confidence: 99%

Survey on secure search over encrypted data on the cloud

Pham

Woodworth

Salehi

2019

Concurrency and Computation

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Cloud computing has become a potential resource for businesses and individuals to outsource their data to remote but highly accessible servers. However, the potential of cloud services has not been fully realized due to users concerns about data privacy and security. User-side encryption techniques can be employed to mitigate the security concerns, but once the data is encrypted, no processing (eg, searching) can be performed on the outsourced data. Searchable Encryption (SE) techniques have been widely studied to enable searching on the data while they are encrypted. These techniques enable various types of search on the encrypted data and offer different levels of security. While these techniques enable different search types and vary in details, they share similarities in their components and architectures. In this paper, we provide a comprehensive survey on different secure search techniques, a high-level architecture for these systems, and an analysis of their performance and security level. KEYWORDScloud security, encrypted search, search over encrypted data, survey INTRODUCTIONAs cloud computing becomes prevalent, more cloud-based solutions are being developed and widely used in different applications. Companies that have adopted cloud storage solutions are reported to gain a competitive edge against those that have not. 1Cloud computing is favored due to its many advantages, including convenience and accessibility, consistent back ups to reducing the burden of local storage, and saving capital expenditure on in-house hardware and software maintenance. 2 However, public cloud storage services may be utilized by multi-tenant customers who store large amounts of potentially sensitive data on the cloud. Using cloud storage implies losing full control over data and delegating it to the cloud administrators, exposing the data to potential external and internal attacks, 3,4 which can be devastating for organizations that rely on confidentiality of their data (eg, financial corporations).These problems have made businesses concerned about outsourcing their data to the cloud and utilizing its potential. 5,6 For instance, a medical center that owns patients' health records cannot outsource its data to a cloud that is vulnerable to attacks, due to legal regulations. 7 In another instance, a law enforcement agency that keeps sensitive criminal records will hesitate to use cloud storage because of similar concerns.this approach remains impractical. Therefore, searchable encryption systems (eg, see other works 12-15 ) have been introduced to cope with this problem. These systems ideally allow the encrypted data to be searched without revealing the data and search query. Hence, they relieve concerns about data confidentiality in the cloud. Efforts to create searchable encryption systems date back to 2000 with work by Song et al. 11 Since then, numerous research works have been undertaken to enable different types of searchable encryption. Although these systems differ in their search approaches, security level, and perf...

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Section: Ontological Semantic Searchmentioning

confidence: 99%

Survey on secure search over encrypted data on the cloud

Pham

Woodworth

Salehi

2019

Concurrency and Computation

View full text Add to dashboard Cite

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“…There are enormous technology for generating key for encryption and algorithms for encryption The searchable proxy re-encryption is investigated in [9] to resist post quantum attack. Cao et al [10] construct a rank scheme supporting multiple keywords and Cash et al [11] discuss dynamic searchable encryption system. Yang et al explains the flexible conjunctive keyword search and some other works is proposed get keyword search.…”

Section: Key Generation and Encryptionmentioning

confidence: 99%

A Classical Method for Health Monitoring on IoT: From Architecture, Security & Application

2019

IJITEE

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The development of smart health care monitoring systems, and services is driven by the development of the Internet of Things (IoT). IoT devices produce major role in todays healthcare monitoring systems large number of systems are in this field developing to track health data. The data generated by these devices has to face numerous security related requirements in order to be useful in real life. Among these one of the requirements is provide a detail approach to meet complete intelligent system to monitor health records, The theme proposed here is collect data from multiple sensor use and filter useful information about present state for identifying and integrating the health status of a person. Apart from this how to share health data in secure platform and authenticated architecture node in IoT. In proposed work describes the usage of IoT in health care data in a classical manner which in bounded in an architecture and system devices.

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“…Flexible searching on ciphertext is a critical challenge to be solved for effective data utilization. Yang et al propose a novel semantic keyword searchable proxy re‐encryption scheme for secure cloud storage. The scheme is quantum attack resistant, while most of the available searchable encryption schemes are not.…”

Section: Themes Of This Special Issuementioning

confidence: 99%

High performance and security in cloud computing

Xiao

Qian

2017

Concurrency and Computation

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High performance and security in cloud computing 1 INTRODUCTION"Cloud" is a common metaphor for an Internet accessible infrastructure (e.g., data storage and computing hardware) that is hidden from users. Cloud computing makes data truly mobile and a user can simply access a chosen cloud with any internet accessible device. In cloud computing, IT-related capabilities are provided as services, accessible without requiring detailed knowledge of the underlying technology. Thus, many mature technologies are used as components in cloud computing, but still there are many unresolved and open problems. THEMES OF THIS SPECIAL ISSUEThis special issue includes articles addressing the state-of-the-art in strengthening performance and security and cloud computing. Eight representative research articles were carefully selected based on the original presentations at the 2016 International Conference on Cloud Computing and Big Data (CloudCom-Asia'16). The objective of this conference is to bring together researchers who work on cloud computing and related technologies. According to whether its research theme relates more to performance or security, the accepted papers are briefly described in the remaining part of this section. PerformanceTask scheduling is critical for guaranteeing cloud performance. In the past years, more and more business-to-consumer and enterprise applications start running in the heterogeneous cloud. Such cloud bag-of-tasks (BoT) applications are usually budget-constrained and their scheduling is an essential problem for cloud provider. The problem is even more complex and challenging when the accurate knowledge about task execution time is unknown in advance. Focusing on these challenges, Tang et al 1 build a cloud resource management architecture and stochastic task model, which divides cloud task into two execution parts. Then they deduce BoT applications schedule length and total cost according to heterogenous clouds online feedback information. They further formulate this stochastic scheduling problem as a linear programming problem and propose a time and cost multi-objective stochastic task scheduling genetic algorithm, which can find Pareto-optimal schedules for stochastic cloud task that meet its budget constraint.With the rapid development of Internet and cloud computing, the high performance requirements for data center networks (DCNs) are increasing for meeting the need of users. A large number of data need to be processed and shared among servers in a data center. Recently, multicast traffic in DCNs has attracted much attention from academia due to the fact that multicast traffics have the dominating advantages for group communications in DCNs. Therefore, the appropriate multicast traffic scheduling in data center networks cannot only improve network efficiency but also save network resources. Li et al 2 propose a multicast scheduling algorithm to appropriately schedule flows to achieve traffic load balance so that network blocking can be avoided. In order to reduce the network blocking, they...

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Semantic keyword searchable proxy re‐encryption for postquantum secure cloud storage

Cited by 43 publications

References 25 publications

Survey on secure search over encrypted data on the cloud

Survey on secure search over encrypted data on the cloud

A Classical Method for Health Monitoring on IoT: From Architecture, Security & Application

High performance and security in cloud computing

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