Lattice Cryptography based Geo-encrypted Contact Tracing for Infection Detection

Abstract

The world has already witnessed many epidemic diseases in the past years, like H1N1, SARS, and Ebola etc. Now, Covid-19 has also been added to list, which is declared as pandemic by World Health Organization. One of the most commonly used method to tackle the spread of such diseases is using mobile applications to perform contact tracing of the infected person. However, contact tracing applications involve transmitting sensitive location based data of the infected person to the government servers. Therefore, recently this has raised a lot of concerns regarding privacy of the infected persons. This work proposes a light-weight and secure encryption scheme, based on location based encryption which can be used to transfer the location data to the server without compromising its security. The main aim of the work is design an algorithm in such a way that the encrypted transferred data can only be decrypted at the server and in-between data leakage can be prevented. This work proposes to use location based encryption combined with Learning with Errors problems in Lattices, which can provide a solution to privacy concerns in contact tracing, which will even be applicable in the post quantum period.

Reliable data communication using post‐quantum encryption in Internet of Everything

“…Similarly, post‐quantum lattice cryptography can be used for multiple other applications like lattice‐based geo‐encryption in a contact tracing of an infection detection, 5 which accepts latitude, longitude and distance tolerance explicitly. An important overview for the implementation of LWE‐based security 16 has been illustrated, where the private key is used for data decryption, the public key is utilized for data encryption along with various other parameters.…”

“…Dhiman et al 5 demonstrated a solution to perform lattice LWE based geo‐encryption applied in contact‐tracing infection detection 5 . But the model is inadequate for a mobile network and insufficient to demonstrate security against MITM and Sybil attacks.…”

“…There are many such examples of cyber attacks in 2016, the Mirai Botnet zombie attack infected smart devices running or ARC processors and targeted almost all the digital devices not to cameras, recorders, and network devices, and in 2017, a ransom‐ware attack initiated which demanded Bitcoin payment 4 . To successfully intrude a network, an attacker investigates and identifies the possible shortcomings and disrupts the network 5 . In order to implement a quantum‐safe 6 network communication like in a mobile IoT, ad hoc networks (MANETs), 7 or in WSNs, 8 lattice cryptography 9 techniques with a location dependency 10 are found to be effective with delicate modifications and assumptions as compared with the traditional cryptographic techniques 11,12 .…”

“…4 To successfully intrude a network, an attacker investigates and identifies the possible shortcomings and disrupts the network. 5 In order to implement a quantum-safe 6 network communication like in a mobile IoT, ad hoc networks (MANETs), 7 or in WSNs, 8 lattice cryptography 9 techniques with a location dependency 10 are found to be effective with delicate modifications and assumptions as compared with the traditional cryptographic techniques. 11,12 The main factors that create security concerns in an IoE ecosystem are data integrity, device-heterogeneity, data management, ownership and access control, synchronization, location spoofing, hardware/software tampering, 4 and so forth.…”