###### Abstract  
Existing secure data aggregation protocols are weaker to eliminate data redundancy and protect wireless sensor networks (WSNs). Only some existing approaches have solved this singular issue when aggregating data. However, there is a need for a multi-featured protocol to handle the multiple problems of data aggregation, such as energy efficiency, authentication, authorization, and maintaining the security of the network. Looking at the significant demand for multi-featured data aggregation protocol, we propose secure data aggregation using authentication and authorization (SDAAA) protocol to detect malicious attacks, particularly cyberattacks such as sybil and sinkhole, to extend network performance. These attacks are more complex to address through existing cryptographic protocols. The proposed SDAAA protocol comprises a node authorization algorithm that permits legitimate nodes to communicate within the network. This SDAAA protocol's methods help improve the quality of service (QoS) parameters. Furthermore, we introduce a mathematical model to improve accuracy, energy efficiency, data freshness, authorization, and authentication. Finally, our protocol is tested in an intelligent healthcare WSN patient-monitoring application scenario and verified using an OMNET++ simulator. Based upon the results, we confirm that our proposed SDAAA protocol attains a throughput of 444 kbs, representing a 98% of data/network channel capacity rate; an energy consumption of 2.6 joules, representing 99% network energy efficiency; an effected network of 2.45, representing 99.5% achieved overall performance of the network; and time complexity of 0.08 s, representing 98.5% efficiency of the proposed SDAAA approach. By contrast, contending protocols such as SD, EEHA, HAS, IIF, and RHC have throughput ranges between 415-443, representing 85-90% of the data rate/channel capacity of the network; energy consumption in the range of 3.0-3.6 joules, representing 88-95% energy efficiency of the network; effected network range of 2.98, representing 72-89% improved overall performance of the network; and time complexity in the range of 0.20 s, representing 72-89% efficiency of the proposed SDAAA approach. Therefore, our proposed SDAAA protocol outperforms other known approaches, such as SD, EEHA, HAS, IIF, and RHC, designed for secure data aggregation in a similar environment. 2024242090242024202420242024202420242024202420242024202420242024202420242024202420242024202420242024202420242024202420202420242020242024202024202420202  
security [4], agricultural monitoring [5], environmental monitoring, home automation, oil-refinery monitoring process, industry applications, etc. [6; 7]. These WSN applications usually occur in vulnerable conditions. Each SN in a WSN is associated with resource constraints such as restricted battery power and limited resources. Regarding computational capability [8], the sensor nodes deployed in the event-monitoring area often experience redundant data transmission. As a result, the nodes consume additional energy, and congestion may occur in the network when the redundant data are transmitted to the base station (BS) [9]. In addition, different energy consumption may occur due to redundant data transmission. Consequently, aggregating the data locally and adjusting the data to become redundant-free data packets before advancing the data to the BS is urgently desired. After a SN collects identical data packets and makes a single copy of the data, an aggregator node forms. The aggregator node can omit the redundant data using several methods, such as artificial intelligence or probabilistic or statistical approaches [10; 11]. Transmitting redundant data is a concern in secure data aggregation. The transmitted data must hop multiple times before the data reaches the BS. Consequently, it becomes inefficient to transmit redundant data in the network. In addition, it is inefficient to hop redundant data because WSNs have limited computational capability and constrained memory of sensor nodes (SNs).