Genetic Coding of Digital Watermarks to Enhance IoT Security

• Main Authors: Dmitry Zaichenko, Irina Sineva
• Format: Article
• Language: English
• Published: FRUCT 2019-04-01
• Series: Proceedings of the XXth Conference of Open Innovations Association FRUCT
• Subjects: genetic algorithm; anti-jamming coding; steganography; least significant bit method; IoT
• Online Access: https://fruct.org/publications/abstract24/files/Zai.pdf

The future of smart cities is already real, residents of megacities can easily exchange information anywhere, at any time. Through a network integrated with real-time monitoring systems, data is collected, processed and analyzed. The modern understanding of IoT focuses on three components-the devices themselves, the sufficiency of the channel capacity for their interaction and the information security technologies that should accompany this interaction. The proposed method based on genetic coding that hides messages between IoT devices is capable of detecting both internal and external attacks in the intellectual infrastructure of the Internet of things.