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Title Dna Computing For The Smart Wireless Sensor Networks
ID_Doc 20801
Authors Chithaluru P.; Reddy V.K.; Narsimhulu P.; Kumar M.
Year 2025
Published Blockchain and Digital Twin for Smart Healthcare
DOI http://dx.doi.org/10.1016/B978-0-443-30300-5.00022-1
Abstract This chapter delves into the convergence of wireless sensor networks (WSNs) and DNA computing to fortify the security data infrastructure. WSNs have been considered as the backbone for data collection and analysis. However, their susceptibility to security breaches necessitates novel solutions. This chapter explores the fusion of WSNs and DNA computing, presenting a paradigm that augments security measures within smart cities. Leveraging the intrinsic capabilities of DNA computing, such as massive parallelism and inherent encryption properties, provides a unique avenue for addressing security concerns in WSNs. Key facets discussed include utilizing DNA-based algorithms for cryptographic key generation, enhancing data encryption/decryption mechanisms, designing secure communication protocols, and bolstering node authentication and intrusion detection systems. Furthermore, the chapter examines the practical challenges and opportunities inherent in integrating DNA computing into WSNs for smart city security. It addresses scalability concerns, the compatibility of biological processes with electronic systems, and the development of efficient algorithms tailored for real-world deployment. By synthesizing these diverse domains, this chapter contributes to the advancement of secure smart city infrastructure, envisioning a future where DNA computing fortifies the fabric of WSNs, ensuring the integrity and confidentiality of health data. © 2025 Elsevier Inc. All rights reserved.
Author Keywords cryptography; decryption; DNA computing; encryption; primer; WSN


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