Laplacian Kernel Clustering-Based Improved Certificateless Signcryption for a Secure Marine Data Aggregation in Network of Wireless Sensors

Wireless Sensor Networks (WSNs) are collected from several inexpensive sensor nodes with three key capabilities: sensing, computation, and communication. During communication, these sensor nodes consume a specific amount of energy. It’s often organized in marine surroundings for data monitoring and collection, requiring the transmission of data gathered to a sink node or base station. The sink node is answerable for aggregating information as of deployed sensor nodes. Ensuring secure data aggregation in WSNs presents unique challenges due to the dynamic nature of the marine environments. Therefore, an efficient cryptographic mechanism is required to guarantee the integrity of data transmission among sensor nodes (𝑺𝒏) in addition to sink nodes to enhance secure data aggregation, an innovative approach called the Laplacian Kernel Clustering-based Improved Certificateless Signcryption (LKC-ICS) method is developed. The primary intent of LKC-ICS is to improve the security of data aggregation with energy efficiency in WSNs.The LKC-ICS technique consists of two main processes: clustering and secure data aggregation. Initially, 𝑺𝒏 are distributed throughout the marine surroundings to sense objects underwater. The Laplacian Kernelized BFR clustering algorithm is applied in LKC-ICS to group 𝑺𝒏 depending on their residual energy echelon. Subsequently, cluster heads are selected for secure data transmission. Cluster members transmit collected information to their respective cluster heads (𝑯𝑪). Then 𝑯𝑪 data aggregates from sensor nodes and is securely transmitted in sink node. The LKC-ICS technique employs an improved certificateless signcryption method for secure data aggregation from 𝑯𝑪 to a base station. The cryptographic technique involves the key generation, signcryption, and unsigncryption processes. During signcryption, the original data packet is transformed into encrypted data while generating a digital signature. Unsigncryption involves signature verification to authenticate the user. Upon successful verification, the receiver decrypts the data if the signature is valid. This process minimizes data aggregation delays and packet loss. Different parameters simulate the proposed LKC-ICS technique. Quantitative analysis demonstrates that the LKC-ICS technique's performance improved compared to conventional methods in secure data aggregation and delivery.