Enhancing Cloud-Based IoT Security with Lightweight Cryptographic Techniques
Keywords:
Cloud computing, Data protection, Decryption, Encryption, Internet of Things (IoT), Lightweight cryptography, SecurityAbstract
The quick growth of Internet of Things (IoT) devices has marked a new era of connectivity and data sharing, altering industries and everyday life by enabling smart homes, connected healthcare, industrial automation, and other applications. However, the proliferation of IoT devices raises significant security concerns. Cloud based IoT systems, which store, analyze, and manage data in the cloud, are particularly vulnerable to cyberattacks. Hackers can exploit such issues and access sensitive data, interrupt services, or degrade device performance unauthorizedly.
Addressing these security risks is crucial while ensuring IoT devices operate efficiently and affordably. The vital motive of this paper is to give one promising solution, i.e., a Lightweight cryptographic technique designed to offer robust security without the heavy computational and resource demands of conventional cryptographic techniques. This type of encryption is particularly suitable for IoT devices, which generally have limited processing power, memory, and battery life.
This article explains how voice signals are encrypted by leveraging lightweight AES methodology. This paper explores various lightweight cryptography techniques, detailing their principles and how they can be applied in cloud based IoT systems to ensure data integrity, confidentiality, and authenticity.
Furthermore, the paper emphasizes the significance of balancing security and performance and overcoming the limitations of existing techniques by introducing the proposed technique named Lightweight AES 128 bit Implementation. It discusses how the proposed method is developed to have utmost security without compromising the performance of resource constrained IoT devices. It also compares the Traditional AES 128 bit and the proposed Lightweight AES 128 bit on Atrix7 and Kintex7 FPGAs. It concludes that the Lightweight version is much more suitable for enhancing security in voice transmission in cloud based IoT systems.
