Publication Date

8-27-2025

Document Type

Conference Proceeding

Publication Title

2025 Silicon Valley Cybersecurity Conference Svcc 2025

DOI

10.1109/SVCC65277.2025.11133628

Abstract

As cyber threats continue to evolve, overlooked or neglected files stored in cloud services can pose significant risks to personal privacy and data security. In this paper we present Cloudsweeper, a system that aims to improve cloud storage security by creating tools that help users identify and manage sensitive or unwanted files. Cloudsweeper leverages Large Language Models (LLMs) with a Retrieval-Augmented Generation (RAG) architecture to develop a personalized and privacy-focused archive search system. Cloudsweeper represents an innovative approach to secure archive management, balancing user control and privacy in cloud storage environments.

Keywords

Archive Search, Cybersecurity, Large Language Models, Retrieval-Augmented Generation, User Privacy

Comments

© 2025 IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Department

Computer Engineering

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