Journal of Cybersecurity and Information Management JCIM 2690-6775 2769-7851 10.54216/JCIM https://www.americaspg.com/journals/show/3977 2019 2019 Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamilnadu, India S. S. Assistant Professor, Department of Artificial Intelligence and Data Science, St. Joseph's Institute of Technology, Chennai, India Venkatesan. S. Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Bowrampet, Hyderabad-500043, Telangana, India Yerragudipadu subbarayudu School of Computer Science, University of Petroleum and Energy Studies, Dehradun 248007, India Keshav Sinha Senior Assistant Professor, Department of CSE-AIML, ADITYA UNIVERSITY, Hyderabad, India Rayavarapu Sridivya Assistant Professor, Department of Computer Science and Engineering, MLR INSTITUTE OF TECHNOLOGY, DUNDIGAL, HYDERABAD, India Munugapati Bhavana Smart health is becoming an increasingly sensitive field because to the growing use of a variety of Internet of Medical Things (IoMT) devices as well as apps. IoMT is a well-liked technique for developing smart city solutions that eventually improve critical infrastructures, such smart healthcare. Numerous IoMT devices in smart cities employ Bluetooth technology for short-range communication because it is adaptable and resource-efficient. This research proposes novel method in urban planning in smart public healthcare system utilizing ML algorithms. The smart healthcare system is developed based on secure honeynet cloud IoT model. Here the input smart healthcare-based health monitoring data is collected and processed for missing value removal and noise removal. Then this data classified and optimized using recurrent Bi-LSTM temporal Gaussian model with whale swarm particle colony optimization. Experimental analysis is carried out in terms of detection accuracy, precision, data integrity, throughput, recall, latency. Proposed technique obtained 96% of Detection    accuracy, 97% of Precision, 95% of Throughput, 88% of RECALL, 94% of LATENCY. 2026 2026 71 80 10.54216/JCIM.170107 https://www.americaspg.com/articleinfo/2/show/3977