Publication

Abstract : In IoT environment, any object which is equipped with senor node and other electronic devices can involve in the communication over wireless network which resulted in need for the hefty amount of sensed data to be preprocessed effectively before storing. Subsequently, sensed data in the form of images are to be directed to the cloud storage system over wireless medium, it suffered from image hijacking in which data in the image would be manipulated so this leads to insecure transmission. To mitigate this problem, two levels learning in assist with dual offbeat shielding design have been proposed. In principal level of learning relied on memory retaining which preprocess the sensed image by utilizing past history for extracting optimal features of an input images subsequently preprocessed image would be subjected to dual offbeat shielding includes crypto based steganography using Chen chaotic system combined with PVD. Ultimately, secured image would be tested with the learned optimal features using an improved neural network by this way the proposed system have rendered protected cloud storage in IoT.