Secure and efficient ownership verification for deduplicated cloud computing systems


연구 분야: Networking



학회: Journal of Cloud Computing


초록

Cloud storage services offer a scalable platform to store a large amount of data at a low cost. It attracts a large number of customers to outsource their data to the cloud. To manage the massive growth in the size of outsourced data, cloud service providers employ deduplication, i.e., a technique to reduce space and bandwidth requirements by eliminating the upload and storage of redundant data. However, it poses the following severe security threat: “A malicious user who learns deduplication tag of the file, i.e., a small piece of information, can convince the server to allow access to the entire file”. A proof of ownership (POW) concept was introduced that allows the server to challenge the user to prove that s/he owns the entire file. The existing state-of-the-art POW solutions are either not considering the complete file for determining the proof or not efficient in terms of I/O, communication, and computational overheads on the user. In this paper, we propose a secure and efficient POW scheme. The proposed scheme ensures that the user must possess the complete file to generate ownership proof. In addition, our scheme causes minimal I/O, communication, and computational overhead on the user side. We implement the proposed scheme in a real cloud scenario using Google Firebase cloud services. The performance analysis indicates that our scheme is efficient in terms of I/O, computational, and communication overheads than the existing state-of-the-art solutions.


Author Profile
Jay Dave

Department of Computer Science & Information Systems BITS Pilani Hyderabad Campus Hyderabad India

India
Author Profile
Kamalesh Ram R.

Department of Computer Science & Information Systems BITS Pilani Hyderabad Campus Hyderabad India

India
Author Profile
Pratik Patil

Department of Computer Science & Information Systems BITS Pilani Hyderabad Campus Hyderabad India

India

📄 논문 정보

발행 연도 2025년
인용수 3
출판 국가 India
사이트 Springer
좋아요 수 0

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