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📢 Call for Papers — Volume 13, Issue 5 (May 2026) | Submission Deadline: May 31, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-3827

Achieving the strong security against data attacks in cloud Data Environments

Author(s):L.LAVANYA LATHA, R.SURESH
Institution:(L.LAVANYA LATHA, DEPT OF COMPUTER SCIENCE AND ENGINEERING, CHADALAWADA RAMANAMA ENGINEERING COLLEGE,TIRUPATI, INDIA)
Published In:Vol. 4, Issue 10 — October 2017
Page No.:284-287
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

Searchable encryption is of increasing interest for protecting the data privacy in secure searchable cloud storage.In this work, we investigate the security of a well-known cryptographic primitive, namely Public Key Encryption withKeyword Search (PEKS) which is very useful in many applications of cloud storage. Unfortunately, it has been shown thatthe traditional PEKS framework suffers from an inherent insecurity called inside Keyword Guessing Attack (KGA) launchedby the malicious server. To address this security vulnerability, we propose a new PEKS framework named Dual-ServerPublic Key Encryption with Keyword Search (DS-PEKS). As another main contribution, we define a new variant of theSmooth Projective Hash Functions (SPHFs) referred to as linear and homomorphism SPHF (LH-SPHF). We then show ageneric construction of secure DS-PEKS from LH-SPHF. To illustrate the feasibility of our new framework, we provide anefficient instantiation of the general framework from a DDH-based LH-SPHF and show that it can achieve the strongsecurity against inside KGA.

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🕮 How to Cite

L.LAVANYA LATHA, R.SURESH, “Achieving the strong security against data attacks in cloud Data Environments”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 10, pp. 284-287, October 2017.

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Vol. 13 | Issue 5
May 2026