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• ECC-based certificateless signature scheme with compact aggregation. • Fine-grained access control using attribute-based encryption and signature scheme. • Proof of security in the random oracle model (ROM). • Efficient, secure, and privacy-preserving for practical deployment. Very recently, a number of intelligent applications have evolved in smart cities such as smart grid, smart parking, smart waste management, smart manufacturing, smart home, and smart health, making our cities more smarter. In the context of smart health, smart devices are employed to collect and transmit biomedical information to a medical server, allowing medical practitioners to give better and improved healthcare services. However, considering the sensitive nature of the medical data, any illegal access may have devastating effects on the patient's health condition. A lightweight privacy-preserving authentication and fine-grained access control scheme for smart health known as PAASH is proposed. In PAASH, a new ultraefficient certificateless signature scheme with compact aggregation is developed to achieve source authentication and data integrity. To achieve efficient user authorization and data confidentiality, a privacy-preserving access control technique using the developed aggregate signature and ciphertext-policy attribute-based encryption (CP-ABE) is implemented. An analysis of PAASH reveals that it can provide desirable privacy and security measures in smart health. Moreover, the formal security demonstrated in the random oracle model (ROM) shows that PAASH is semantically secure under the intractability of the Discrete Logarithm Problem (DLP). The performance evaluation shows that PAASH is par excellence practically suitable for smart health. [ABSTRACT FROM AUTHOR]

Fog computing is a qualifiedly roseate technology introduced to support latency-sensitive and mission-critical applications by bringing resources closer to the end users. To exploit the full potentials of this auspicious technology, it is important to select optimal fog nodes for secured service provisioning. Therefore, in this work, an optimal fog node selection is formulated as a multi-objective optimization problem. To solve this problem, an efficient selection strategy based on improved particle swarm optimization (PSO) and modified firefly algorithm (FA) is developed. This study considers two important objectives that have not been optimized in the previous works: trust and rate of sojourn, in addition to remaining node capacity and energy consumption. The linear weighted-sum approach is used to aggregate the individual objective functions, after which the Best–worst method (BWM) is used to determine the weight vector of the aggregated function. The impact of the variation in the weight values of the most sensitive objective indicate that in the worst-case scenario, the proposed model is robust and insensitive with an improvement of about 42.16%–50.02% over the related methods. Moreover, we conduct an experimental simulation of the proposed selection strategy as well as comparative analysis with the state-of-the-art algorithms using six performance metrics. The results show that the proposed hybrid PSO-FA achieves a higher accuracy and faster convergence. The proposed solution also records an improvement of about 18.64%–69.45% in resource utilization, 10.94%–40.45% in energy consumption, 12.50%–75% in trust violation, 4.94%–31.12% in computation delay, and 24.71%–37.7% in makespan over the related advanced algorithms. [ABSTRACT FROM AUTHOR]