Peng Liu1, Qian He1,*, Baokang Zhao2, Biao Guo1, Zhongyi Zhai1
CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3325-3343, 2023, DOI:10.32604/cmc.2023.041167
Abstract Cloud storage and edge computing are utilized to address the storage and computational challenges arising from the exponential data growth in IoT. However, data privacy is potentially risky when data is outsourced to cloud servers or edge services. While data encryption ensures data confidentiality, it can impede data sharing and retrieval. Attribute-based searchable encryption (ABSE) is proposed as an effective technique for enhancing data security and privacy. Nevertheless, ABSE has its limitations, such as single attribute authorization failure, privacy leakage during the search process, and high decryption overhead. This paper presents a novel approach called… More >
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