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http://dx.doi.org/10.25673/121718| Title: | Hybrid Lightweight Encryption Algorithms for Internet of Things (IoT) |
| Author(s): | Altaie, Rusul H. |
| Granting Institution: | Hochschule Anhalt |
| Issue Date: | 2025 |
| Extent: | 1 Online-Ressource (7 Seiten) |
| Language: | English |
| Abstract: | IoT security has become increasingly critical in this situation, along with the widespread usage. Therefore, a method must be created to protect these devices and data in buildings and institutions from hackers. In this article, we mentioned hybrid algorithms to solve this problem. To guarantee that the data it transmits and receives is secure and unaltered in any manner, Arduino and Raspberry Pi, as IoT hardware platforms, also need security advancements. For embedded systems like Arduino with limited memory and processing capacity, employing a standard block cipher to secure transmission is computationally expensive. This paper offers a safety system to protect IoT devices in a set of rooms inside a building and enterprises. This study offers a safe approach to protect the hardware equipment from intruders and accidents in buildings. In this article, a various group of sensors are associated with Arduino to collect data. PRESENT and SPECK algorithms are the basic encryption algorithms used for encrypting data collected by sensors in several rooms within the building. In this study, PRESENT and SPECK are used in the Interleaved method and a smaller number of rounds. The data of encrypted data is again encoded in Raspberry Pi by the SPECK algorithm in a nested manner and then encrypted by PRESENT and sent to the computer through Message Queuing Telemetry Transport protocol to distribute data, and then sent to the cloud to increase security. |
| URI: | https://opendata.uni-halle.de//handle/1981185920/123669 http://dx.doi.org/10.25673/121718 |
| Open Access: | Open access publication |
| License: | (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0 |
| Appears in Collections: | International Conference on Applied Innovations in IT (ICAIIT) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-5-ICAIIT_2025_13(4).pdf | 1.31 MB | Adobe PDF | ![]() View/Open |
Open access publication
