Secure searching on cloud storage enhanced by homomorphic indexing

Ren, Shu Qin; Tan, Benjamin Hong Meng; Sundaram, Sivaraman; Wang, Taining; Ng, Yibin; Chang, Victor; Aung, Khin Mi Mi

doi:10.1016/j.future.2016.03.013

Cited by 39 publications

(20 citation statements)

References 15 publications

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“…The Exclusive-Or homomorphic encryption technique is discussed in this paper and also provide the information on the secure data upload and secure data searching [1]. In past years, the data owners' information can be leaked to the outsider and cloud service provider through passive attacker.…”

Section: Related Workmentioning

confidence: 99%

“…Exclusive-or (XOR) homomorphism encryption scheme with Multi-keyword ranked search can be implemented to resolve the outsourcing data to the cloud. XOR Homomorphic encryption searchable [1] algorithm is presented to protect the data privacy from unwanted access in cloud environment. The main mechanism involved in scheme [3] is first; this technique gives protection of data by pre-encrypting the single or multiple keywords and performing randomization over the XOR operation in bitwise and secure data leak on pattern which can be accessed frequently.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Keyword Ranked Search in Cloud Storage using Homomorphic Indexing

Renugha¹,

Shanthi²,

Umamakeswari³

2018

IJET

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In the cloud environment, the main issue is outsourcing of the information to the cloud service provider and outsider. Consider this, the cloud tenant store data in an encrypted form to achieve data security and privacy. The data owner needs the secure information sharing from the cloud and without leak of access pattern to the eavesdroppers. XOR homomorphic encryption searchable algorithm along with ranking is proposed to provide the security over the network. In addition our scheme provides secure Multi-keyword ranked search over encrypted data. Efficient ranked search algorithm returns the relevant document based on the results for the given multiple keywords. The experimental results prove that the system is efficient.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Keyword Ranked Search in Cloud Storage using Homomorphic Indexing

Renugha¹,

Shanthi²,

Umamakeswari³

2018

IJET

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“…Basics of ''Ranking'' is precisely explained by [14,31] On the contrary, most cloud servers in cutting-edge practice not only serve one owner; instead, they support multiple owners to segment the profits brought by cloud computing. Thus, we classify several Logic is expressive and flexible enough to represent many existing privacy criteria, such as kanonymity, logical safety, l-diversity, t-closeness, and §-disclosure…”

Section: Ranking-oriented Privacy Measuresmentioning

confidence: 99%

Data Privacy Protection Mechanisms in Cloud

Singh

2017

Data Sci. Eng.

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In the cloud computing environment, the privacy of the electronic data is a serious issue that requires special considerations. We have presented a state-of-the-art review of the methodologies and approaches that are currently being used to cope with the significant issue of privacy. We have categorized the privacy-preserving approaches into four categories, i.e., privacy by cryptography, privacy by probability, privacy by anonymization and privacy by ranking. Moreover, we have developed taxonomy of the techniques that have been used to preserve the privacy of the governing data. We also presented a comprehensive comparison of the privacy-preserving approaches from the angle of the privacy-preserving requirements' satisfaction. Therefore, it is highly desirable that the mechanisms should be developed to deploy efficient auditing and accountability mechanisms that anonymously monitor the utilization of data records and track the provenance to ensure the confidentiality of the data.

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“…With the explosive use of computer networks, a number of security issues on the Internet and in computer systems have been raised. Hence, the security of Internet-connected devices from various threats has become considerably important to ensure system availability and integrity [1]. Based on the annual report of 2016 from Asia Pacific Computer Emergency Response Team (CERT) showed a tremendous increment in the amount of intrusions and cyber-attacks over the decade [2].…”

Section: Introductionmentioning

confidence: 99%

From Intrusion Detection to an Intrusion Response System: Fundamentals, Requirements, and Future Directions

et al. 2017

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Abstract:In the past few decades, the rise in attacks on communication devices in networks has resulted in a reduction of network functionality, throughput, and performance. To detect and mitigate these network attacks, researchers, academicians, and practitioners developed Intrusion Detection Systems (IDSs) with automatic response systems. The response system is considered an important component of IDS, since without a timely response IDSs may not function properly in countering various attacks, especially on a real-time basis. To respond appropriately, IDSs should select the optimal response option according to the type of network attack. This research study provides a complete survey of IDSs and Intrusion Response Systems (IRSs) on the basis of our indepth understanding of the response option for different types of network attacks. Knowledge of the path from IDS to IRS can assist network administrators and network staffs in understanding how to tackle different attacks with state-of-the-art technologies.

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Secure searching on cloud storage enhanced by homomorphic indexing

Cited by 39 publications

References 15 publications

Multi-Keyword Ranked Search in Cloud Storage using Homomorphic Indexing

Multi-Keyword Ranked Search in Cloud Storage using Homomorphic Indexing

Data Privacy Protection Mechanisms in Cloud

From Intrusion Detection to an Intrusion Response System: Fundamentals, Requirements, and Future Directions

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