Enhancing IoT Data Security with RLE Encoding and Elliptical Curve Cryptography

Problem Definition

Utilizing encryption techniques such as AES and NTRU for security in IoT systems has been a common approach taken by researchers. However, the complexity of the NTRU technique and the frequent updates required for its open-source algorithm present limitations to its feasibility and stability. The need for a more trustworthy and stable security model in IoT becomes apparent, as the current encryption methods may not provide adequate protection against potential threats. The constant evolution of encryption algorithms highlights the necessity for a more secure solution that can adapt to changing security needs in the IoT landscape. Addressing these limitations and pain points is crucial in developing a more robust and reliable security model for IoT systems.

Objective

The objective of the proposed work is to enhance data security in IoT systems by implementing a multi-level security approach using AES for key generation, RLE for data encoding, and ECC for encryption. The goal is to address the limitations of existing encryption techniques like NTRU and provide a more stable and secure security model for IoT applications. The proposed system will be evaluated based on parameters such as key size, compression ratio, and data size to demonstrate its reliability and efficiency in enhancing data security for IoT systems.

Proposed Work

The problem defined in the literature review highlights the need for a more stable and secure security model for IoT systems. The existing approach using AES and NTRU encryption techniques has shown promising results but may not be optimal due to the complexity and constant updates of NTRU. Thus, the objective of the proposed work is to enhance data security by implementing an AES and RLE-based approach for key generation and data encoding, while also incorporating Elliptic curve cryptography for data encryption to prevent tampering. The proposed work focuses on utilizing AES for key generation, followed by a multi-level security approach involving RLE for data encoding and ECC for encryption. The combination of these techniques aims to provide a more robust security model for IoT systems.

By introducing parameters such as key size, compression ratio, and data size, the efficiency of the proposed system will be evaluated. The use of RLE ensures no data loss during transmission, while ECC is chosen for its speed and effectiveness in encryption. By analyzing the performance of the system based on various parameters, the proposed work aims to demonstrate its reliability and efficiency in enhancing data security for IoT applications.

Application Area for Industry

This project's proposed solutions can be applied in various industrial sectors such as healthcare, finance, manufacturing, and transportation where IoT systems are used. One of the challenges these industries face is ensuring the security of the data being transmitted and collected through IoT devices. By implementing the multi-level encryption approach using AES, RLE, and ECC algorithms, the proposed system can provide a more trustable and stable security model for IoT systems. Industries can benefit from this by safeguarding their sensitive information from potential cyberattacks and unauthorized access. Moreover, the introduction of parameters like key size, compression ratio, and data size in the proposed model allows industries to analyze the efficiency of the security system in terms of performance.

This helps in optimizing the security measures based on specific requirements and ensuring that the data is securely transmitted and stored. Overall, the project's solutions offer a comprehensive approach to addressing the security challenges faced by different industrial domains using IoT technology.

Application Area for Academics

The proposed project can enrich academic research, education, and training by providing a novel approach to enhancing security in IoT systems. By introducing multi-level encryption techniques such as AES, RLE, and ECC, researchers can explore new methods of securing data transmitted through IoT devices. This not only adds to the existing body of knowledge in the field but also offers potential applications in pursuing innovative research methods and data analysis within educational settings. Researchers, MTech students, and PhD scholars can benefit from the code and literature of this project by using it as a reference for their own work in the domain of IoT security. They can leverage the implementation of algorithms such as AES, RLE, and ECC to enhance their understanding of encryption techniques and their applications in securing IoT systems.

Additionally, the performance analysis of the proposed system in terms of key size, compression ratio, and data size provides valuable insights for evaluating the efficiency of security models in IoT. Furthermore, the use of technologies such as Thingspeak in the project highlights the practical applications of IoT systems and data analysis. By incorporating real-world platforms and tools, researchers can explore the integration of IoT devices in various applications and industries, furthering their research and enhancing their educational experiences. In terms of future scope, the proposed project opens up opportunities for exploring advanced encryption algorithms and security mechanisms for IoT systems. Researchers can further investigate the impact of different encryption techniques on data security and explore new approaches to enhancing the trustworthiness and stability of IoT systems.

By building upon the foundation laid out in this project, academic research in the field of IoT security can continue to evolve, leading to advancements in technology and innovation.

Algorithms Used

In the proposed work, key generation is carried out by using AES. Multi-level encryption is introduced in the security model including encoding and encryption of data retrieved through IoT. Run length Encoding (RLE) is applied for data compression, ensuring no data loss during transmission. Elliptic curve cryptography (ECC) is used for encryption due to its fast and effective performance. The proposed model provides two levels of security by applying compression and encryption mechanisms.

Three parameters, key size, compression ratio, and data size, are introduced to determine the efficiency of the proposed work. The performance of the system is then analyzed to demonstrate its efficiency.

Keywords

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SEO Tags

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