Exploring Generative Adversarial Networks for Secure Data Encryption and Future Directions in Communication Systems

Ranjith Bhat, Ranjith Bhat, Raghu Nanjundegowda

2025

Abstract

The rapid advancements in communication systems and the proliferation of digital technologies have underscored the critical need for robust and adaptive encryption methods to safeguard data integrity, confidentiality, and authenticity. Traditional cryptographic techniques, while effective, face challenges in the wake of evolving cyber threats and emerging technologies such as quantum computing. This paper explores the transformative potential of Generative Adversarial Networks (GANs) in secure data encryption and communication systems. By leveraging the dynamic architecture of GANs, which consists of a generator and a discriminator operating in an adversarial framework, novel encryption methodologies are developed. These methodologies address limitations in traditional encryption by introducing non-linear, adaptive encryption schemes resistant to reverse engineering and capable of generating dynamic encryption keys. The paper further investigates the integration of GANs into modern communication paradigms, including quantum communication, blockchain networks, and IoT systems. Additionally, it highlights the challenges in adopting GAN-based encryption, including training instability, scalability, and adversarial vulnerabilities, while proposing solutions to overcome these issues. Through experimental validation, the study demonstrates the superior security and efficiency of GAN-based encryption systems, offering a scalable and intelligent approach to securing data in an increasingly complex digital landscape.

Paper Citation

in Harvard Style

Bhat R. and Nanjundegowda R. (2025). Exploring Generative Adversarial Networks for Secure Data Encryption and Future Directions in Communication Systems. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 292-300. DOI: 10.5220/0013591300004664

in Bibtex Style

@conference{incoft25,
author={Ranjith Bhat and Raghu Nanjundegowda},
title={Exploring Generative Adversarial Networks for Secure Data Encryption and Future Directions in Communication Systems},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={292-300},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013591300004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Exploring Generative Adversarial Networks for Secure Data Encryption and Future Directions in Communication Systems
SN - 978-989-758-763-4
AU - Bhat R.
AU - Nanjundegowda R.
PY - 2025
SP - 292
EP - 300
DO - 10.5220/0013591300004664
PB - SciTePress