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- Title
Privacy-aware novel lightweight cryptography mechanism for IoT (Internet of Things) Security.
- Authors
C, Rashmi H; D, Guruprakash C
- Abstract
In light of the rapid advancement in communication technology facilitated by the Internet of Things (IoT), the demand for effective data analysis and utilization has surged. This is particularly crucial as it involves the collection of data from various objects and devices in diverse ways. A robust methodology designed to improve data fusion while simultaneously upholding data confidentiality and optimizing data weight. This research work introduces a privacy-preserving lightweight cryptographic model (PP-LWC) tailored for IoT environments. It employs a novel data fusion process, integrating weight optimization and iterative data fusion, to enhance data integrity and confidentiality. The model utilizes differential privacy techniques, adding controlled noise to queries, ensuring data privacy without compromising on computational efficiency. By incorporating unique encryption and signature verification mechanisms within IoT clusters, it effectively safeguards against both internal and external threats, maintaining robust security in resource-constrained settings. This approach strikes a balance between preserving privacy and ensuring lightweight cryptographic operations, crucial for the vast and diverse landscape of IoT devices. PPLWC is evaluated considering the various parameters such as computation overhead for single signature generation, and computation overhead for single signature verification. Cost comparison for signature verification mechanism, Communication cost for sending a broadcast message. Comparison of communication cost for sending and broadcast messages. Comparative analysis with the existing model proves the model's efficiency by outperforming the existing technique.
- Subjects
DATA privacy; TELECOMMUNICATION; WIRELESS sensor networks; MULTISENSOR data fusion; INTERNET of things
- Publication
Multimedia Tools & Applications, 2024, Vol 83, Issue 31, p76389
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-024-18517-0