Smart indoor Positioning Model for Deterministic Environment

As the number of IoT devices grow rapidly, and soon to exceed 40 billion, security challenges grow rapidly as well. One challenge proven to wreak havoc in the past few years is the use of IoT devices as attacking tools. This paper presents the results of implementing a brute-force attack on Data Encryption Standard using clusters of IoT devices. The implementation presented was successful. Results have shown that a cluster size of 200 IoT devices was able on average to find the key within 350 seconds. Another experiment of a cluster of 2000 IoT devices succeeded in finding the key within 0.015 seconds.

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Comprehensive Analysis of Applied Machine Learning in Indoor Positioning Based on Wi-Fi: An Extended Systematic Review

Bellavista-Parent

Torres-Sospedra

Pérez-Navarro

2022

Sensors

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Nowadays, there are a multitude of solutions for indoor positioning, as opposed to standards for outdoor positioning such as GPS. Among the different existing studies on indoor positioning, the use of Wi-Fi signals together with Machine Learning algorithms is one of the most important, as it takes advantage of the current deployment of Wi-Fi networks and the increase in the computing power of computers. Thanks to this, the number of articles published in recent years has been increasing. This fact makes a review necessary in order to understand the current state of this field and to classify different parameters that are very useful for future studies. What are the most widely used machine learning techniques? In what situations have they been tested? How accurate are they? Have datasets been properly used? What type of Wi-Fi signals have been used? These and other questions are answered in this analysis, in which 119 papers are analyzed in depth following PRISMA guidelines.

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Smart indoor Positioning Model for Deterministic Environment

Cited by 3 publications

References 13 publications

New trends in indoor positioning based on WiFi and machine learning: A systematic review

New trends in indoor positioning based on WiFi and machine learning: A systematic review

Implementing IoT Lottery on Data Encryption Standard

Comprehensive Analysis of Applied Machine Learning in Indoor Positioning Based on Wi-Fi: An Extended Systematic Review

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