GAN-Based Privacy Protection for Public Data Sharing in Wireless Sensor Networks

K. Swaminathan, Sivaram Ponnusamy, S. Saju, R. Vijay, R. Karthikeyan

2024Advances in information security, privacy, and ethics book series10 citationsDOI

Abstract

In this study, the authors introduce “SecureNetGAN,” a novel system designed to protect wireless sensor networks (WSNs) from cyber threats through the use of generative adversarial networks (GANs). WSNs are crucial in various applications, from environmental monitoring to securing borders, but they're often targeted by hackers due to their critical nature. The challenge is that traditional security systems can't always keep up with the constantly changing tactics of these attackers. That's where SecureNetGAN comes in. SecureNetGAN leverages the power of GANs, a type of artificial intelligence where two parts of the system, the generator and the discriminator, work against each other. The generator learns to create data that looks like network attacks, while the discriminator gets better at telling real attacks from fake ones.

Topics & Concepts

Wireless sensor networkPrivacy protectionComputer networkInternet privacyData sharingInformation privacyComputer scienceComputer securityMedicinePathologyAlternative medicineNetwork Security and Intrusion DetectionSecurity in Wireless Sensor NetworksAdvanced Malware Detection Techniques