Work

Archimedes assisted LSTM model for blockchain based privacy preserving IoT with smart cities

Year: 2024

Type: article

Abstract: Presently, the emergence of internet of things (IoT) has significantly improved the processing, analysis, and management of the substantial volume of big data generated by smart cities. Among the various applications of smart cities, notable ones include location-based services, urban design and transportation management. These applications, however, come with several challenges, including privacy concerns, mining complexities, visualization issues and data security. The integration of blockchain (BC) technology into IoT (BIoT) introduces a novel approach to secure smart cities. This work presents an Archimedes assisted long short-term memory (LSTM) model intrusion detection for BC based privacy preserving (PP) IoT with smart cities. After the stage of pre-processing, the LSTM is utilized for automated feature extraction and classification. At last, the Archimedes optimizer (AO) is utilized to optimize the LSTM’s hyper-parameters. In addition, the BC technology is utilized for securing the data transmission.

Source: Indonesian Journal of Electrical Engineering and Computer Science

DOI: 10.11591/ijeecs.v37.i1.pp488-497

Authors: Sanjaikanth E Vadakkethil Somanathan Pillai, Rohith Vallabhaneni, Srinivas A Vaddadi, Santosh Reddy Addula, Bhuvanesh Ananthan

Institutions: University of North Dakota, University of the Cumberlands

Language: English

Topic: Blockchain Technology Applications and Security

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W4403939167

FWCI: 2.71

Cites:

Cited by: 7

Related to: 10