aspg-20-1415-1791307683 20261006172803 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Wireless and Ad Hoc Communication IJWAC 2692-4056 2021 2 2 Reem Atassi College of Computing Information Technology, American University in the Emirates, UAE Aditi Sharma IEEE Senior Member, Parul University, Vadodara, India;Department of Computer Science and Engineering, Parul Institute of Technology, India To maintain data privacy and control who has access to what in the cloud, attribute-based encryption might be utilized. Attribute security is violated when apparent qualities are introduced to the encrypted message to assist people to identify necessary details in vast systems. To offer an effective attribute-based access control with an authorized search strategy, this research expands the anonymous key-policy attribute-based encryption (AKP-ABE) to provide fine-grained data retrieval while safeguarding attribute privacy (EACAS). In EACAS, data users may generate the trapdoor using the secret key supplied by data owners and conduct searches based on access restrictions to get the relevant data. Cryptographic protocols and trapdoor generation use a synthetic property devoid of syntactic significance to provide an attribute-based search on the exported encoded information in the fog. Data owners may implement granular access control on their outsourced data by establishing the search criteria that will be used by data consumers to locate relevant content based on protected attributes. We show that compared to the state-of-the-art methods, EACAS requires less time and space to process and store data. 2021 59 67 1415 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJWAC.020202 https://americaspg.com/journal/20/article/1415 https://americaspg.com/storage/61671452727.pdf