A Robust Framework to Secure IoT Sensor Data using Elliptic Curve Cryptography based CP-ABE and Secret Sharing Scheme

The growth of the Internet of Things (IoT) sector has ushered in an unprecedented era of connectedness, enabling a profusion of applications ranging from smart homes to industrial automation. Researchers predict that by 2030, there will be about 50 billion IoT devices and gadgets globally, completely changing how we interact with our environment. However, because these interconnected systems are vulnerable to many cyber attacks, the rise of IoT devices has also raised worries about data security and privacy. This paper investigates the potential of cryptographic approaches to mitigate IoT data security issues. It proposes an all-encompassing framework to protect IoT data from various threats and vulnerabilities. The framework leverages the robustness of the Advanced Encryption Standard (AES) as the primary data encryption technology. Additionally, it integrates ciphertext-policy attribute-based encryption (CP-ABE) in conjunction with Elliptic Curve Cryptography to enable fine-grained access control, ensuring that only authorized entities can access specific IoT data. Furthermore, to fortify the encryption process, the framework implements a secret sharing method for the encryption key, distributing the key across multiple entities, reducing the risk of a single point of failure. The suggested framework seeks to improve the security posture of IoT systems by integrating these cryptographic algorithms and guaranteeing the confidentiality, integrity, and accessibility of data in IoT contexts.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/icict64387.2024.10839673
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
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article

A Robust Framework to Secure IoT Sensor Data using Elliptic Curve Cryptography based CP-ABE and Secret Sharing Scheme

Mahit Kumar Paul, Anika Bushra
Chaos-based Image/Signal Encryption
article

A Robust Framework to Secure IoT Sensor Data using Elliptic Curve Cryptography based CP-ABE and Secret Sharing Scheme

Mahit Kumar Paul, Anika Bushra
article en

Abstract

The growth of the Internet of Things (IoT) sector has ushered in an unprecedented era of connectedness, enabling a profusion of applications ranging from smart homes to industrial automation. Researchers predict that by 2030, there will be about 50 billion IoT devices and gadgets globally, completely changing how we interact with our environment. However, because these interconnected systems are vulnerable to many cyber attacks, the rise of IoT devices has also raised worries about data security and privacy. This paper investigates the potential of cryptographic approaches to mitigate IoT data security issues. It proposes an all-encompassing framework to protect IoT data from various threats and vulnerabilities. The framework leverages the robustness of the Advanced Encryption Standard (AES) as the primary data encryption technology. Additionally, it integrates ciphertext-policy attribute-based encryption (CP-ABE) in conjunction with Elliptic Curve Cryptography to enable fine-grained access control, ensuring that only authorized entities can access specific IoT data. Furthermore, to fortify the encryption process, the framework implements a secret sharing method for the encryption key, distributing the key across multiple entities, reducing the risk of a single point of failure. The suggested framework seeks to improve the security posture of IoT systems by integrating these cryptographic algorithms and guaranteeing the confidentiality, integrity, and accessibility of data in IoT contexts.

Rajshahi University of Engineering and Technology (BD)
Openalex Percentile: Top 74%
Chaos-based Image/Signal Encryption
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A Robust Framework to Secure IoT Sensor Data using Elliptic Curve Cryptography based CP-ABE and Secret Sharing Scheme — Mahit Kumar Paul, Anika Bushra · (2024) | TGRS Research Map | TGRS