DIGITAL DEVELOPMENT BOARD FOR SHORT RANGE OBJECT DETECTION WITH STEGANOGRAPHIC DATA HIDING TECHNIQUES

Rexhep Mustafovski; Aleksandar Risteski; Tomislav Šuminoski

doi:10.51466/JEEIT2491220063m

Rexhep Mustafovski Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, 18 Rugjer Bošković Str., 1000 Skopje, Republic of Macedonia
Aleksandar Risteski Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, 18 Rugjer Bošković Str., 1000 Skopje, Republic of Macedonia
Tomislav Šuminoski Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, 18 Rugjer Bošković Str., 1000 Skopje, Republic of Macedonia

DOI: https://doi.org/10.51466/JEEIT2491220063m

Keywords: microprocessors, Arduino Mega 2560, QuickStego, Arduino IDE, processing PDE

Abstract

This scientific paper discusses the application of single-board computers in performing various projects focusing on the practical development of a radar system for detecting objects at short distances using the digital development electronic board Arduino Mega 2560, that contribute to the development of electronic technology, microcomputers and microprocessors and their application for educational purposes. An overview of various literary sources related to the development of digital electronics, microprocessors, digital forensics as an important scientific discipline within the security of sharing various information and their application during the development of various educational projects has been used. Additionally, various methods and techniques used in steganography are illustrated, a study of the implementation of those techniques, and a demonstration of the implementation process of one of the steganography techniques using the QuickStego steganography tool. The development of the radar system for the detection of objects at short distances was carried out by programming the ultrasonic radar system using the tools Arduino IDE, Processing PDE, Matlab and Simulink, which offer support for the Arduino hardware.