Efficient and dynamic verifiable multi-keyword searchable symmetric encryption with full security

Najafi, Aniseh; Javadi, Hamid Haj Seyyed; Bayat, Majid

doi:10.1007/s11042-021-10844-w

Cited by 11 publications

(26 citation statements)

References 37 publications

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“…According to the results, the VDB method has attained the requisite security features with excellent efficiency.Liu et al [9] bestowed an SPKS (safe and privacypreserving keyword search) decryption technique that decreases computational and communication overhead for consumers while maintaining user data and querying privacy. The result showed that the SPKS was more felicitous to a cloudenvirons.Najafi et al [10] obtainedtherFSMSE increased the complexity of time complexity, memory, and communication by allowing searching multiple terms, which was more secure and search time complexity. The result demonstrates that the rFSMSE required less time to search many keywords than the existing randomized symmetric searchable encryption (SSE).Pandiaraja et al [11] presented the apriori technique is based on secure inner product computation, which decreases the time it takes to access data in the cloud.…”

Section: Literature Surveymentioning

confidence: 99%

A Scheduling Genetic Algorithm For Real-Time Data Freshness And Cloud Data Security Over Keywords Searching

Sethi¹,

Sasikala²

2022

IJCIS

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Cloud storage services allow customers to ingress data stored from any device at any time. The growth of the Internet helps the number of users who need to access online databases without a deep understanding of the schema or query. The languages have risen dramatically, allowing users to search secured data and retrieve desired data from cloud storage using keywords. On the other hand, there are fundamental difficulties such as security, which must be provided to secure user'spersonal information. A hybrid scheduling genetic algorithm (SGA) is proposed in this research. SGA technique enhances the security level and provides data freshness. For evaluation and comparison, parameters such as execution time throughputs are used. According to experimental results, the proposed technique ensures the security of user data from unauthorized parties. Furthermore, SGA is strong and more effective when compared to a set of parameters to the existing algorithm like Data Encryption Standard (DES), Blowfish, and AdvancedEncryption Standard (AES).

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Section: Literature Surveymentioning

confidence: 99%

A Scheduling Genetic Algorithm For Real-Time Data Freshness And Cloud Data Security Over Keywords Searching

Sethi¹,

Sasikala²

2022

IJCIS

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“…Multi-ciphertext indistinguishability: Qin et al [11] are the first to suggest MCI. Traditionally, Ciphertext indistinguishability (CI) is a security feature that prevents attackers from extracting any valuable information from ciphertext.…”

Section: Multi-ciphertext Indistinguishability and Multi-trapdoor Pri...mentioning

confidence: 99%

“…Multi-trapdoor privacy: MTP was also originally proposed by Qin et al [11]. Traditionally, trapdoor privacy (TP) aims to prevent attackers from obtaining any valid information related to keywords from trapdoors and internal attacks.…”

Section: Multi-ciphertext Indistinguishability and Multi-trapdoor Pri...mentioning

confidence: 99%

“…Song et al [4] came up with the first effective SE scheme， and the scheme makes use of the symmetric cryptosystem to construct algorithms, resulting in this scheme with great efficiency [8]. Since then, scholars have proposed some searchable encryption algorithms based on symmetric cryptosystem [9][10][11][12][13]. However, the communication parties in the symmetric cryptosystem need to conduct difficult and secure interaction to obtain the encryption key [14], which obviously leads to the increase of the complexity of data sharing.…”

Section: Introductionmentioning

confidence: 99%

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An enhanced heterogeneous public key searchable encryption scheme supporting multiple keywords

Luo

Huang

Qiu³

2022

Peer-to-Peer Netw. Appl.

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Searchable encryption (SE) technology allows users to use keywords to retrieve encrypted data and ensure that useful plaintext information of encrypted data will not be disclosed. For a secure SE scheme, if it is able to meet the multi-trapdoor privacy (MTP), the security will be improved compare with the traditional SE scheme. However, there are few searchable encryption schemes that can meet the requirement of MTP. In addition, many existing schemes ignore the need of multi keyword search, and both sides of communication use the same cryptosystem and cryptographic parameters, which leads to the problem of low search efficiency and practicability. Therefore, we propose a heterogeneous SE scheme that supports multi-keyword search, provides MTP and allows both sides of communication to be worked in different cryptosystems with different cryptographic parameters. With the use of the random oracle model (ROM), we demonstrate the security of the proposed scheme, and we show the excellent performance of the proposed scheme at the end of the article.

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“…When accessing cloud data, some sensitive data needs to be secured, and cryptography can play a large role in this. is discipline can provide more complete security for sensitive data and is currently the more critical technology in cloud storage security issues and is an important cornerstone for cloud storage to be used by many enterprises [2]. In cloud storage, data les are mainly stored in cloud servers, and data owners cannot always supervise access to data.…”

Section: Introductionmentioning

confidence: 99%

Efficient Inverse Model for Cloud Computing and Information Based on the Symmetric Random Matrix

Cheng¹,

Cheng

2022

Mathematical Problems in Engineering

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With the continuous development of cloud storage technology, cloud storage has become a new way of storage for both enterprises and individuals. The cloud environment can support users to share data, but it can lead to some malicious users accessing or modifying data by illegal means, so access control is an important way to protect user data. In this paper, we propose a traceable attribute encryption scheme based on signature authentication and based on the information efficient inverse model of an asymmetric random matrix, which can trace the user who leaks information. A user attribute revocation scheme based on improved attribute encryption is also proposed, which enables data owners to reduce computational overhead. In cloud storage access control, the workload of the data owner increases exponentially when facing a high number of user attribute revocation problems, which are jointly decided by the data owner and the authorization center. An error proportional allocation (EPA) calculation method is developed to achieve an optimal estimation of system parameters in the lattice cipher scheme; experimental results show that the scheme has the advantages of shorter parameters, efficient computation, and lower storage load, proving that the scheme is resistant to IND-SAS-CPA under the standard model-based assumption of determining LWE semantic security against IND-SAS-CPA attacks; and it is used in a cloud file sharing (CFS) service framework, which can make sensitive cloud data free from the risk of privacy leakage.

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Efficient and dynamic verifiable multi-keyword searchable symmetric encryption with full security

Cited by 11 publications

References 37 publications

A Scheduling Genetic Algorithm For Real-Time Data Freshness And Cloud Data Security Over Keywords Searching

A Scheduling Genetic Algorithm For Real-Time Data Freshness And Cloud Data Security Over Keywords Searching

An enhanced heterogeneous public key searchable encryption scheme supporting multiple keywords

Efficient Inverse Model for Cloud Computing and Information Based on the Symmetric Random Matrix

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