Improving IoT data Security Using Compression and Lightweight Encryption Technique

Kadhim, Ahmed Najah; Manaa, Mehdi Ebady

doi:10.1109/iiceta54559.2022.9888376

Cited by 3 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lightweight compression is a technique designed to reduce the size of data using minimal computational resources. It is especially valuable in scenarios where devices have limited processing power or bandwidth, such as with IoT sensors [20]. By condensing data efficiently, lightweight compression ensures faster transmission speeds and reduced storage needs.…”

Section: Lightweight Compressionmentioning

confidence: 99%

Enhancing Industrial IoT Network Security through Blockchain Integration

Bobde,

Narayanan,

Jati

et al. 2024

Electronics

View full text Add to dashboard Cite

In the rapidly evolving landscape of industrial ecosystems, Industrial IoT networks face increasing security challenges. Traditional security methods often struggle to protect these networks adequately, posing risks to data integrity, confidentiality, and access control. Our research introduces a methodology that leverages blockchain technology to enhance the security and trustworthiness of IoT networks. This approach starts with sensor nodes collecting and compressing data, followed by encryption using the ChaCha20-Poly1305 algorithm and transmission to local aggregators. A crucial element of our system is the private blockchain gateway, which processes and classifies data based on confidentiality levels, determining their storage in cloud servers or the Interplanetary File System for enhanced security. The system’s integrity and authenticity are further reinforced through the proof of authority consensus mechanism. This system employs Zero Knowledge Proof challenges for device authorization, optimizing data retrieval while maintaining a delicate balance between security and accessibility. Our methodology contributes to mitigating vulnerabilities in Industrial IoT networks and is part of a broader effort to advance the security and operational efficiency of these systems. It reflects an understanding of the diverse and evolving challenges in IoT security, emphasizing the need for continuous innovation and adaptation in this dynamic field.

show abstract

Section: Lightweight Compressionmentioning

confidence: 99%

Enhancing Industrial IoT Network Security through Blockchain Integration

Bobde,

Narayanan,

Jati

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

Keyless Lightweight Encipher using Homomorphic and Binomial Coefficients for Smart Computing Applications

Sultana,

Ch,

Malleswari

2023

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN)

View full text Add to dashboard Cite

Novel secure data protection scheme using Martino homomorphic encryption

2023

View full text Add to dashboard Cite

Globally, data maintenance and its security are vital tasks due to the rapid development of advanced technologies. Users now utilise Cloud computing technique and security techniques to preserve their data securely from intruders and hackers. Even yet, because of the technology's rapid advancement and inherent insecurity, attackers are conducting assaults on the cloud data. Hence, a homomorphic encryption technique was proposed based on Matrix Transformations with shifts, rotations, and transpositions of Binary converted ASCII values of each character in the plain text. For both encryption and decryption, symmetric cryptography employs the same secret key. The “avalanche effect” is a desirable feature of symmetric encryption in which two distinct keys generate separate cipher texts for the same message. As there are different conditions for the key, it helps to achieve this effect in this technique. The suggested algorithm's cryptanalysis reveals that it is more powerful than the existing encryption methods and resistant to a variety of attacks. So that an attacker cannot easily predict a plaintext through a statistical analysis.

show abstract

Improving IoT data Security Using Compression and Lightweight Encryption Technique

Cited by 3 publications

References 21 publications

Enhancing Industrial IoT Network Security through Blockchain Integration

Enhancing Industrial IoT Network Security through Blockchain Integration

Keyless Lightweight Encipher using Homomorphic and Binomial Coefficients for Smart Computing Applications

Novel secure data protection scheme using Martino homomorphic encryption

Contact Info

Product

Resources

About