Adopt an optimal location using a genetic algorithm for audio steganography

With the development of technologies, most of the users utilizing the Internet for transmitting information from one place to another place. The transmitted data may be affected because of the intermediate user. Therefore, the steganography approach is applied for managing the secret information. Here audio steganography is utilized to maintain the secret information by hiding the image into the audio files. In this work, discrete cosine transforms, and discrete wavelet transform is applied to perform the Steganalysis process. The optimal hiding location has been identified by using the optimization technique called a genetic algorithm. The method utilizes the selection, crossover and mutation operators for selecting the best location. The chosen locations are difficult to predict by unauthorized users because the embedded location is varied from information to information. Then the efficiency of the system ensures the high PSNR, structural similarity index (SSIM), minimum mean square error value and Jaccard, which is evaluated on the audio Steganalysis dataset

A Dynamic And Interoperable Communication Framework For Controlling The Operations Of Wearable Sensors In Smart Healthcare Applications

In this manuscript, a dynamic and interoperable communication framework (DICF) for regulating the operations of wearable healthcare devices is introduced. The framework is responsible for monitoring, decision making and controlling the functionalities and operating time of the wearable sensors (WS) as a part of smart health care tracking applications. In this framework, the nature of the wireless sensing device and its intrinsic features are accounted to design a fully operative and automated seamless working of the sensing devices. The sensing devices operate in both autonomous and interconnected manner depending upon the sensed information and the observed body conditions of the patient. The frequency of operation and the time interval varies with the scheduled and random recommendations of the communication framework of the interconnected devices. The framework is designed to improve the interoperability of the devices acclimatized to adapt dynamic nature of different tracking healthcare applications to leverage its performanc