A Novel Quadtree-Based Genetic Programming Search for Searchable Encryption Optimization

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{harn:2023:GECCOcomp,

• author = "Po-Wei Harn and Bo Hui and Sai Deepthi Yeddula and Libo Sun and Min-Te Sun and Wei-Shinn Ku",
• title = "A Novel {Quadtree-Based} Genetic Programming Search for Searchable Encryption Optimization",
• booktitle = "Proceedings of the 2023 Genetic and Evolutionary Computation Conference",
• year = "2023",
• editor = "Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen",
• pages = "583--586",
• address = "Lisbon, Portugal",
• series = "GECCO '23",
• month = "15-19 " # jul,
• organisation = "SIGEVO",
• publisher = "Association for Computing Machinery",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, searchable encryption, region quadtree: Poster",
• isbn13 = "9798400701191",
• DOI = "doi:10.1145/3583133.3590566",
• size = "4 pages",
• abstract = "The encoding method of a searchable encryption can significantly impact the performance of a location-based alert system. While there were attempts to design searchable encryption manually, Gray Encoding is considered the most preferable method. However, if the alert zones are scattered unevenly, Gray Encoding fails to achieve token aggregation. In this research, a novel Quadtree-based Genetic Programming (Quadtree-GP) is proposed to iteratively identify superior searchable encryption candidates for the location-based alert system. Quadtree-GP can be effectively applied on customized requirements and different grid maps. Extensive experimental results show that Quadtree-GP is able to find searchable encryption candidates that outperform GP search, random search, and the baseline Gray Encoding in terms of user response time, token remaining percentage, and execution time.",
• notes = "GECCO-2023 A Recombination of the 32nd International Conference on Genetic Algorithms (ICGA) and the 28th Annual Genetic Programming Conference (GP)",

}

Genetic Programming entries for Po-Wei Harn Bo Hui Sai Deepthi Yeddula Libo Sun Min-Te Sun Wei-Shinn Ku

Citations