Signature Based Identification using Locality-Sensitive Hashing for IoT Devices

• Published in: 2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) pp. 1 - 6
• Main Authors: Singh, Amit, G, Sindhu Madhuri
• Format: Conference Proceeding
• Language: English
• Published: IEEE 29-04-2023
• Subjects: Costs; Internet of Things; IoT Devices; Locality Sensitive Hashing and Signature based Identification; Object recognition; Real-time systems; Smart cities; Wireless communication; Wireless sensor networks
• DOI: 10.1109/ICDCECE57866.2023.10151273

On current days, the growing applications in Internet of Things (IoT) is increasing in various real-time sectors as smart city applications (air pollution, atmospheric noise canceling and traffic flow management). Now, these technologies are combined to provide the comfort configuration for each application. However, malware / virus are highly possible to extract the device software or hardware information in IoT. All sensed information about the environment or any event is stored in these devices which are hacked by the malicious attackers. To overcome these adversities, we introduced the concept of locality sensitive hash (LSH) for IoT device trustworthiness identification. The main objective of our proposed system is to allow secure transfer of data from the resource constrained devices. In this project, the resource constrained devices are the wireless sensor nodes. The experimental analysis confirmed that our proposed approach is suitable for the application or environment with resource constrained devices. Also, the time, energy, latency and packet overhead is considerably reduced than the existing systems considered for this project.