Nanotechnology in Cybersecurity Detection Systems

Authors

  • Sagarika Senthilkumar Downingtown East High School
  • Dr. Kristina Lilova Arizona State University
  • Virgel Torremocha
  • Jothsna Kethar Gifted Gabber

DOI:

https://doi.org/10.47611/jsrhs.v13i3.7469

Keywords:

Nanotechnology, Cybersecurity, Intrusion Detection Systems, Nanosensors, Cryptographic Hardware, Self-healing Nanomaterials, Nano-based Encrypted Communication

Abstract

This paper goes over the uses of how nanotechnology can be used to contribute towards the development of cybersecurity Intrusion Detection Systems. By looking through different studies and research papers the identified gap was of how nanosensors, nano-based encrypted communications, and self-healing nanomaterials can benefit Intrusion Detection Systems and are what is discussed and developed through the paper. The results from the research show that while most of these ideas are still in the stage of conceptualization, there are still some promising ideas that can be further developed. Nanosensors and neuromorphic computers are both able to improve the speed and accuracy of detecting intrusions. Alongside that, cryptographic hardware and optical encryption can assist in providing more security for the protected data. Organic Field-Effect Transistors and triboelectric nanogenerators can also be looked into as they both are forms of power supplies that allow for a more stable system that is also low maintenance. As such, these results bring forth the conclusion that nanotechnology holds promise for the future for contributing towards the development of Intrusion Detection Systems. This research paper provides ideas and technologies that can be further looked into as these conceptualizations of combined nanotechnology ideas become made into actual technologies.

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Author Biography

Dr. Kristina Lilova, Arizona State University

Research Assistant Professor 

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Published

08-31-2024

How to Cite

Senthilkumar, S., Lilova, D. K., Torremocha, V., & Kethar, J. (2024). Nanotechnology in Cybersecurity Detection Systems. Journal of Student Research, 13(3). https://doi.org/10.47611/jsrhs.v13i3.7469

Issue

Section

HS Research Articles