Node to Node Communication Security in IOT Networks

Abstract

Abstract: The Internet of Things (IoT) describes the network of physical objects or things that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet. Although several IoT devices are openly accessible to all in the network, it is extremely vital to be aware of the security risks and threats of cyber- attacks; therefore, it should be secured. In Cryptography, plain text is converted to encrypted text before it is sent, and it is converted to plain text after communication on the other side. Steganography is a method of hiding secret data, by embedding it into an audio, video, image, or text file. One technique is to hide data in bits that represent the same color pixels repeated in a row in an image file. In this project it proposes to encrypt the IoT networks data by Cryptography method and hide the encrypted message inside an image file using Steganography method as well increases the number of bits that can be saved within a pixel of an image. To incorporate the usage of convolutional neural networks in traditional steganography method to drastically increase the payload that can be transmitted through an image. Thus, in this project the convolutional networks algorithm will be developed and trained in such a way to increase the payload of the data to be encrypted as well as safely decrypted to view the original message.