Secure waste collection approach for smart cities

Abstract

The notable increase in the spread of diseases such as COVID-19 and monkeypox in the recent scenario significantly increases the need for an efficient waste collection system in the cities. The traditional approach to waste collection is time-consuming, inefficient, unreliable, and lacks real-time assessment, which has huge impacts on the health care system of the cities. The incorporation of advanced information technology has extensively benefited the waste collection system in the city, but there are still security risks or performance deficiencies.In this paper, we design a secure waste collection approach for smart cities using Physically Unclonable Function (PUF). We have shown that the introduced scheme is secure, fresh, trustworthy, and robust using the AVISPA tool and Mao and Boyd's logic. The informal security analysis shows that the introduced scheme accomplishes the security requirement for the smart waste collection environment. The extensive comparative security analysis, computational efficiency, and storage overhead illustrate that the introduced scheme achieves convincing security improvements with less computational and storage overhead compared to existing schemes. Hence, the hardness of the security characteristics of the proposed scheme proves its robustness and makes it feasible for practical implementation.