SECURING SEARCH SYSTEMS: AN END-TO-END ENCRYPTION FRAMEWORK FOR PRIVACY PRESERVATION

Authors

  • Muskaan Mongia University of Southern California, USA Author

Keywords:

Multi-layer Encryption, Privacy-preserving Search, Homomorphic Computing, Data Protection, PII Security

Abstract

Modern search engines now face great difficulty in securing personally identifiable information (PII) given the exponential expansion in digital data processing and growing privacy protection issues. This article offers a complete architectural framework using encryption at every level of search infrastructure, therefore providing a creative method of privacy protection without compromising system performance. There are seven linked security elements in the framework that cooperate to provide unbreakable protection against privacy violations. Client-side encryption guarantees that searches are secured before transmission at the user interface level; Transport Layer Security (TLS) guarantees safe data transit across networks. Strong server-side encryption systems and particular database encryption methods for kept data help the framework to improve data safety even more. Advanced homomorphic encryption transforms privacy-preserving search capability by enabling computational activities on encrypted data. This is matched by advanced data anonymizing methods that preserve data utility while safeguarding individual privacy and complex access control systems with strict key management standards.

Combining these security layers produces a strong architecture that enables companies to keep a careful equilibrium between user privacy and search capability. Through a thorough investigation, this article investigates the complex technical issues of implementation, including system performance optimization, scalability concerns, and resource economy. This article explores important facets of regulatory compliance, looking at how the structure fits changing data protection rules and handles the difficult criteria of contemporary privacy regulations. This article shows thorough performance measures and optimization techniques to show how companies could efficiently reduce the computational expense of encryption and maximize security advantages. This article also looks at user experience consequences and offers ideas on how to keep system responsiveness in the face of all-encompassing security policies. In a time when data privacy has taken the front stage, this all-encompassing approach not only improves privacy protection but also provides a basis for developing and preserving user confidence.

References

Emily Stark, "From Client-side Encryption to Secure Web Applications," Massachusetts Institute of Technology, June 2013. Available: https://core.ac.uk/download/pdf/18321494.pdf

Xavier Bonnetain et al., "Quantum Security Analysis of AES," IACR Transaction on Symmetric Cryptology, 2019. Available: https://eprint.iacr.org/2019/272.pdf

Ralph Holz et al., "The Era of TLS 1.3: Measuring Deployment and Use with Active and Passive Methods," July 2019. Available: https://www.researchgate.net/publication/334783131_The_Era_of_TLS_13_Measuring_Deployment_and_Use_with_Active_and_Passive_Methods

NIST Special Publication 1800-16, "Securing Web Transactions: TLS Server Certificate Management," National Institute of Standards and Technology, June 2020. Available: https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.1800-16.pdf

Yi XIONG, Ming Xing LUO, "Searchable Encryption Scheme for Large Data Sets in Cloud Storage Environment," Radioengineering, vol. 33, no. 2, June 2024. Available: https://www.radioeng.cz/fulltexts/2024/24_02_0223_0235.pdf

Amit Kumar Gautam and Rakesh Kumar, "A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks," ResearchGate, January 2021. Available: https://www.researchgate.net/publication/348354398_A_comprehensive_study_on_key_management_authentication_and_trust_management_techniques_in_wireless_sensor_networks

Bo Yang et al., "An Encryption-as-a-Service Architecture on Cloud Native Platform," Mississippi State University, 2021. Available: https://my.ece.msstate.edu/faculty/skhan/pub/Y_K_2021_ICCCN.pdf

Balakrishna R. Iyer et al., "Query Optimization in Encrypted Database Systems," ResearchGate, April 2005. Available: https://www.researchgate.net/publication/220787797_Query_Optimization_in_Encrypted_Database_Systems

Designing Large-scale Software Systems, "Design for Scalability," Carnegie Mellon University, School of Computer Science, Mar 18 & 20, 2024. Available: https://cmu-swdesign.github.io/slides/Lecture-15-16-Design-for-Scalability.pdf

Rassoul Ghaznavi-Zadeh, "Enterprise Security Architecture—A Top-Down Approach," ISACA Journal, 28 July 2017. Available: https://www.isaca.org/resources/isaca-journal/issues/2017/volume-4/enterprise-security-architecturea-top-down-approach

Michela Iezzi, "Practical Privacy-Preserving Data Science With Homomorphic Encryption: An Overview," November 2020. Available: https://www.researchgate.net/publication/345915489_Practical_Privacy-Preserving_Data_Science_With_Homomorphic_Encryption_An_Overview

Jaydip Sen, "Homomorphic Encryption: Theory & Applications," ResearchGate, July 2013. Available: https://www.researchgate.net/publication/236935821_Homomorphic_Encryption_Theory_Applications

C. Blundo et al., "Efficient Key Management for Enforcing Access Control in Outsourced Scenarios," SPDP Lab, 2009. Available: https://spdp.di.unimi.it/papers/sec09.pdf

Ievgeniia Kuzminykh et al., "Comparative Analysis of Cryptographic Key Management Systems," University of Portsmouth. Available: https://pure.port.ac.uk/ws/files/26773830/Comparative_Analysis_AAM.pdf

Nagajothi.S, Raj Kumar.N, "Data Anonymization Technique for Privacy Preservation Using MapReduce Framework," IJARCCE, vol. 5, May 2016. Available: https://www.ijarcce.com/upload/2016/may-16/IJARCCE%20247.pdf

Jin Qian et al., "A dynamic anonymization privacy-preserving model based on hierarchical sequential three-way decisions," ScienceDirect, vol. 686, January 2025. Available: https://www.sciencedirect.com/science/article/abs/pii/S0020025524012301

B.Suresh Babu, "Security Guaranteed High-Performance Data Search on Encrypted Cloud Storages," IJAERS, 2017. Available: https://ijaers.com/uploads/special_issue_files/1503668935-NCTET-CSE-11.pdf

U.M. Ramya, "Effective Storage and Search Optimization in Cloud," International Journal of Applied Engineering Research, vol. 10, no. 10, 2015. Available: https://www.ripublication.com/ijaer10/ijaerv10n10_102.pdf

Published

2024-12-24

How to Cite

Muskaan Mongia. (2024). SECURING SEARCH SYSTEMS: AN END-TO-END ENCRYPTION FRAMEWORK FOR PRIVACY PRESERVATION. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 7(2), 2620-2633. http://ijrcait.com/index.php/home/article/view/IJRCAIT_07_02_198