A Review on Encrypted Data Deduplication Attacks and Countermeasures in Cloud Storage

Wu Jian; Fu Yinjin; Fang Yanmei; Liu Yao; Fu Wei; Cao Xiaochun; Xiao Nong

doi:10.7544/issn1000-1239.202440379

Journal of Computer Research and Development > 2025 > Accepted Manuscript > DOI: 10.7544/issn1000-1239.202440379 CSTR: 32373.14.issn1000-1239.202440379

Wu Jian, Fu Yinjin, Fang Yanmei, Liu Yao, Fu Wei, Cao Xiaochun, Xiao Nong. A Review on Encrypted Data Deduplication Attacks and Countermeasures in Cloud Storage[J]. Journal of Computer Research and Development. DOI: 10.7544/issn1000-1239.202440379

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A Review on Encrypted Data Deduplication Attacks and Countermeasures in Cloud Storage

1.
School of Cyber Science and Technology, Sun Yat-sen University, Shenzhen, Guangdong 518107
2.
School of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, Guangdong 519082
3.
School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510006
4.
Department of Information Security, Naval University of Engineering, Wuhan 430033

Funds: This work is supported by the National Key R&D Program of China under Grant (2022YFB4500304), Natural Science Foundation of China (62332021, 61832020, 62276273), and CCF-The Huawei Populus euphratica Fund-Storage Special Project (CCF-HuaweiST2021001).

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Author Bio:
Wu Jian: born in 2000. Master student. His main research interests include data deduplication and cloud security

Fu Yinjin: born in 1984. PhD, Associate professor, master supervisor, senior member of CCF. His main research interests include data reduction, cloud storage and big data security

Fang Yanmei: born in 1966. PhD, associate professor, senior member of CCF. Her main research interests include machine learning & deep learning, multimedia information security and artificial intelligence security

Liu Yao: born in 1987. PhD, assistant professor, member of CCF. His research interest focus on digital integrated circuit design, hardware security, and computer security

Fu Wei: born in 1978. PhD, associate professor, member of CCF. His main research interests include information security, network security and cloud storage security

Cao Xiaochun: born in 1980. PhD, professor, PhD supervisor, distinguished member of CCF. His research interests include content security in cyberspace, artificial intelligence, and computer vision

Xiao Nong: born in 1969. PhD , professor, PhD supervisor, fellow of CCF. His main research interests include computer architecture, network computing, and big data storage
Received Date: May 27, 2024
Revised Date: February 06, 2025
Accepted Date: March 02, 2025
Available Online: March 02, 2025

Graphical Abstract

Abstract

Abstract

Data deduplication is a vital technology for efficiently managing big data, widely adopted in cloud storage systems to reduce redundancy and save space. To integrate deduplication with encryption, convergent encryption has become a common approach. This method allows for the encryption of data while still enabling deduplication by producing the same ciphertext for identical plaintexts. However, cloud service providers' outsourcing models and the deterministic nature of convergent encryption can introduce data security issues. The encryption patterns of data can become predictable, potentially exposing sensitive information to attackers, which may create serious security implications. As a result, encrypted data deduplication has emerged as an important research topic in cloud storage security. This paper firstly introduces the concept of data deduplication, encrypted deduplication algorithms, and discusses the security challenges associated with encrypting and deduplicating data in cloud storage. It then reviews the current research status from both attack and defense perspectives, covering three main types of attacks: brute force attacks, which try to decrypt data through extensive guessing; frequency analysis attacks, which exploit frequency characteristics in ciphertexts; and side-channel attacks, which leverage information from response or traffic characteristics. For each attack type, representative defense strategies are analyzed along with their strengths and weaknesses. Finally, the paper highlights the challenges faced by existing encrypted data deduplication defenses and suggests future research directions aimed at improving these techniques.
- cloud storage,
- data deduplication,
- data encryption,
- means of attacking,
- defense measures.

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References (72)

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