A Secure Lightweight Cryptographic Algorithm for the Internet of Things (IoT) Based on Deoxyribonucleic Acid (DNA) Sequences

Nadhan, Archana S; Jacob I, Jeena

doi:10.3390/engproc2023059031

RAiSE-2023 2023

DOI: 10.3390/engproc2023059031

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A Secure Lightweight Cryptographic Algorithm for the Internet of Things (IoT) Based on Deoxyribonucleic Acid (DNA) Sequences

Archana S Nadhan,

Jeena Jacob I

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

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2024

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Securing Web Data and Privacy in AIoT Systems

Mihailescu,

Nita

2024

Semantic Web Technologies and Applications in Artificial Intelligence of Things

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The exponential growth of Artificial Intelligence of Things (AIoT) has resulted in an unparalleled fusion of AI with IoT technologies, giving rise to intricate systems that present vast opportunities for automation, productivity, and data-centric decision-making. Nevertheless, this amalgamation also poses substantial obstacles regarding safeguarding online information and upholding confidentiality. The chapter extensively examines the difficulties associated with these issues and the tactics employed to surmount them. The chapter commences by delineating the distinctive susceptibilities inherent in AIoT systems, with a particular emphasis on how the interconnection of AI and IoT technologies gives rise to novel avenues for data breaches and privacy infringements. It then explores the most recent approaches and technologies used to protect data sent over AIoT networks. These include improved encryption methods, secure data transfer protocols, and solutions based on blockchain technology. A substantial chunk of the chapter focuses on privacy-preserving strategies in AIoT. The text examines the equilibrium between data usefulness and privacy protection. It delves into techniques like anonymization, differential privacy, and federated learning as means to safeguard user data while ensuring the effectiveness of AIoT systems. The chapter also examines regulatory and ethical factors, thoroughly examining current and developing legislation and regulations that oversee data security and privacy in AIoT. The content incorporates case studies and real-world examples to demonstrate the pragmatic implementation of theoretical principles. Ultimately, the chapter predicts forthcoming patterns and difficulties in this swiftly progressing domain, providing valuable perspectives on possible AIoT security and privacy protocol advancements. This resource is vital for professionals, researchers, and students engaged in AIoT, cybersecurity, and data privacy. It provides them with the necessary information and tools to protect against the ever-changing threats in this dynamic field.

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Securing Web Data and Privacy in AIoT Systems

Mihailescu,

Nita

2024

Semantic Web Technologies and Applications in Artificial Intelligence of Things

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show abstract

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A Secure Lightweight Cryptographic Algorithm for the Internet of Things (IoT) Based on Deoxyribonucleic Acid (DNA) Sequences

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Cited by 1 publication

References 17 publications

Securing Web Data and Privacy in AIoT Systems

Securing Web Data and Privacy in AIoT Systems

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