SMSDI: Secure Multiservice Spatial Data Infrastructure using Public Key Cryptography

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Nikhil Khandare, Valmik Nikam

Abstract

With the aim of making spatial data readily available to people, enterprises, and governments for successful regional, state, and national decision-making, countries are focused on building spatial data infrastructure that can provide reliable spatiotemporal data. Nonetheless, numerous issues need to be dealt with before, during, and after the creation of spatial data infrastructure.Accuracy, dealing with big data, analysis of large spatial data, time to fetch data, privacy protection are different SDI issues. Huge work has been undertaken into the study and precision of spatial data, but relatively little attention is paid to the security of spatial data infrastructure. So this paper proposes an architecture for secure SDI based on elliptic curve cryptography to address this problem.Security is implemented at different levels of SDI, incorporating different features to improve SDI security. Such features include a modern authentication algorithm, secure calls to service, safe data transfer, and secure data storage in the database. The Secure-SDI proposed is safe against all well-known attacks, and proof of concept is also provided in security analysis

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