Xingbing Fu

Dr. Xingbing Fu


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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1 February 2020 in Computers & Security
Verified
Journal Article
Closed access
JZJianwu Zhang
Jianwu Zhang
YLYu Ling
Yu Ling
XFXingbing Fu
Xingbing Fu
XYXiongkun Yang
Xiongkun Yang
GXGang Xiong
Gang Xiong
RZRui Zhang
Rui Zhang

30 June 2021 in Annals of Telecommunications
Verified
Journal Article
Closed access
PDF file
XFXingbing Fu
Xingbing Fu
NZNan Zhou
Nan Zhou
LJLibin Jiao
Libin Jiao
HLHaifeng Li
Haifeng Li
JZJianwu Zhang
Jianwu Zhang

15 March 2024 in Expert Systems with Applications
Verified
Journal Article
Closed access
XFXingbing Fu
Xingbing Fu
CJChaofan Jiang
Chaofan Jiang
CLChaorong Li
Chaorong Li
JLJiangtao Li
Jiangtao Li
XZXiatian Zhu
Xiatian Zhu
FLFagen Li
Fagen Li

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.

22 October 2018 in Transactions on Emerging Telecommunications Technologies
Verified
Journal Article
Closed access
PDF file
YMYaojun Mao
Yaojun Mao
XFXingbing Fu
Xingbing Fu
CGChen Guo
Chen Guo
GWGuohua Wu
Guohua Wu

15 June 2025 in Expert Systems with Applications
Verified
Journal Article
Closed access
XFXingbing Fu
Xingbing Fu
SLSupeng Lou
Supeng Lou
JZJiaming Zheng
Jiaming Zheng
CCCheng Chi
Cheng Chi
JYJie Yang
Jie Yang
XZXiatian Zhu
Xiatian Zhu