SMARTPHONE-BASED ATTACKS AGAINST 3D PRINTERS, ANALYSIS AND PREVENTION USING IOT SYSTEMS

Abstract

Human beings cannot be happy with any kind of tiredness based work, so they focused on machines to work on behalf of humans. The Internet-based latest technology provides the platforms for human beings to relax and unburden feeling. The Internet of Things (loT) field efficiently helps human beings with smart decisions through Machine-to-Machine (M2M) communication all over the world. It has been difficult to ignore the importance of the loT field with the development of applications such as a smartphone in the present era. The loT field sensor plays a vital role in sensing the intelligent object/things and making an intelligent decision after sensing the objects. The rapid development of new applications using smartphones in the world caused all users of the lol community to be faced with one major challenge of security in the form of channel attacks against highly intensive 3D printing systems. formulated Intellectual property (IP) of side channel attacks new The side smartphone investigate against 3D printer in the physical domain through reconstructed G through primitive operations. The smartphone (Nexus 5) solved the of frame size and code file main orientation fixing, model accuracy problems such as validate the feasibility and effectiveness in real case studies against the 3D estimated value reached 20.2 billion of dollars in 2021. printer. The 3D printing is used lor exploring the side channel attacks alter The researcher analyzed loT The thermal camera reconstructing the objects against 3D printers. avoided in future by enhanced strong security security relevant issues which were mechanism srraregy, encr,prion. and machine learning-based algorhhms. lares, and protocols utilized in an efficient way