Caifen Wang

Caifen Wang


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 April 2020 in IEEE Access
Verified
Journal Article
Open access
HLHaifeng Li
Haifeng Li
LLLiangliang Liu
Liangliang Liu
CLCaihui Lan
Caihui Lan
CWCaifen Wang
Caifen Wang
HGHe Guo
He Guo
Aiming at reducing the local storage burden and computational costs, numerous individuals and enterprises are willing to outsource their data to the cloud server. Meanwhile, due to the loss of the actual physical control over their data files once outsourced to the cloud server, how to guarantee the cloud server keep user’s data integrity is an important security issue to be addressed urgently. Accordingly, multiple data integrity checking schemes based on the traditional cryptosystem have been proposed. However, with the advent and development of quantum computer, these existing data integrity checking schemes are no longer secure. Thus, it is necessary to study the new scheme which can resist quantum attack to adapt to the quantum era. In this work, we put forward a novel scheme named lattice-based privacy-preserving and forward-secure cloud storage public auditing scheme (LB-PPFS). Our proposed scheme is not only quantum-attack-against, but also enjoy the privacy-preserving and forward-secure property. In the proposed scheme, a curious auditor cannot learn any knowledge of user’s data because the original data is encapsulated with a random number. In addition, the lattice basis delegation technique is adopted to achieve forward security for resisting key exposure attack. Based on the hardness assumptions of SIS problem from lattice, we prove that the proposed scheme can achieve formally provable security. Besides, the theoretical analysis and performance evaluation demonstrate that the proposed scheme is effective and feasible to guarantee the quantum security for the data integrity in cloud storage.

21 August 2020 in Sensors
Verified
Journal Article
Open access
PDF file
HLHaifeng Li
Haifeng Li
CLCaihui Lan
Caihui Lan
XFXingbing Fu
Xingbing Fu
CWCaifen Wang
Caifen Wang
FLFagen Li
Fagen Li
HGHe Guo
He Guo
With the explosion of various mobile devices and the tremendous advancement in cloud computing technology, mobile devices have been seamlessly integrated with the premium powerful cloud computing known as an innovation paradigm named Mobile Cloud Computing (MCC) to facilitate the mobile users in storing, computing and sharing their data with others. Meanwhile, Attribute Based Encryption (ABE) has been envisioned as one of the most promising cryptographic primitives for providing secure and flexible fine-grained “one to many” access control, particularly in large scale distributed system with unknown participators. However, most existing ABE schemes are not suitable for MCC because they involve expensive pairing operations which pose a formidable challenge for resource-constrained mobile devices, thus greatly delaying the widespread popularity of MCC. To this end, in this paper, we propose a secure and lightweight fine-grained data sharing scheme (SLFG-DSS) for a mobile cloud computing scenario to outsource the majority of time-consuming operations from the resource-constrained mobile devices to the resource-rich cloud servers. Different from the current schemes, our novel scheme can enjoy the following promising merits simultaneously: (1) Supporting verifiable outsourced decryption, i.e., the mobile user can ensure the validity of the transformed ciphertext returned from the cloud server; (2) resisting decryption key exposure, i.e., our proposed scheme can outsource decryption for intensive computing tasks during the decryption phase without revealing the user’s data or decryption key; (3) achieving a CCA security level; thus, our novel scheme can be applied to the scenarios with higher security level requirement. The concrete security proof and performance analysis illustrate that our novel scheme is proven secure and suitable for the mobile cloud computing environment.

11 February 2021 in IEEE Transactions on Information Forensics and Security
Verified
Journal Article
Closed access
CLCaihui Lan
Caihui Lan
CWCaifen Wang
Caifen Wang
HLHaifeng Li
Haifeng Li
LLLiangliang Liu
Liangliang Liu
In this letter, we discuss the security weakness of Wang et al. ’s attribute-based data sharing scheme, in IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (TIFS) (DOI: 10.1109/TIFS.2016.2549004). Through designing two concrete attacks, we identify two serious security flaws in their scheme. 1) First, we show that their scheme is insecure because in their scheme any authenticated user can freely tamper with the weight of his own attribute to gain higher level decryption privilege to arbitrarily decrypt the ciphertext belonging to another user with higher weight of attribute. 2) Second, we further demonstrate that their scheme is trivial insecure because in their scheme even any malicious authenticated user’s attribute does not match the access policy of a ciphertext, he/she still has the power to decrypt the ciphertext, i.e., the decryption power is independent of attributes, thus, their scheme is not a rigorous attribute-based scheme. The two weaknesses discovered may hinder their scheme infeasible for practical deployment. Accordingly, we present a remedy solution to the issues while preserving all the security features of the original scheme. We hope that our cryptoanalysis and remedy scheme may contribute to avoiding similar design flaws in future designs.

15 March 2024 in Computer Standards & Interfaces
Verified
Journal Article
Closed access
CLCaihui Lan
Caihui Lan
HLHaifeng Li
Haifeng Li
CWCaifen Wang
Caifen Wang
XYXiaodong Yang
Xiaodong Yang
HYHailong Yao
Hailong Yao

25 November 2024 in Telecommunication Systems
Verified
Journal Article
Closed access
PDF file
BWBin Wu
Bin Wu
CWCaifen Wang
Caifen Wang
YLYahong Li
Yahong Li
NSNing Shi
Ning Shi

26 December 2022 in Research Square
Verified
Preprint
Open access
PDF file
BWBin Wu
Bin Wu
CWCaifen Wang
Caifen Wang
YLYahong Li
Yahong Li
NSNing Shi
Ning Shi
Linearly homomorphic signature (LHS) enables linear computation on signed data, and they have been investigated in many flavors and settings, e.g., for network coding to resist pollution attacks and computation on outsourced data. The security of traditional LHS depends entirely on the assumption that the secret signing key is completely secure. Exposure of signing keys requires updating all signatures that have been generated. However, as relatively insecure mobile devices are increasingly used in network coding and data outsourcing systems, the key exposure issue is becoming more prevalent. To reduce the hazard of key exposure in LHS setting, we integrate key update into LHS, and present forward secure linearly homomorphic signature (FSLHS). Specifically, we first formalize the definition and security notions for the FSLHS scheme, and give a concrete scheme. We then prove our proposed scheme to be forward secure against adaptively chosen message attack in cases where the adversary is able to forge two types of signatures, assuming the CDH hardness problem. Moreover, compared with previous related works, the performance analysis shows that all parameters of our scheme enjoy complexities of log magnitude with respect to the total number of time periods.