Public wellbeing has always been crucial. Many governments around the globe prioritize the impact of their decisions on public wellbeing. In this paper, we propose an end-to-end public wellbeing analytics framework designed to predict the public’s wellbeing status and infer insights through the continuous analysis of social media content over several temporal events and across several locations. The proposed framework implements a novel distant supervision approach designed specifically to generate wellbeing-labeled datasets. In addition, it implements a wellbeing prediction model trained on contextualized sentence embeddings using BERT. Wellbeing predictions are visualized using several spatiotemporal analytics that can support decision-makers in gauging the impact of several government decisions and temporal events on the public, aiding in improving the decision-making process. Empirical experiments evaluate the effectiveness of the proposed distant supervision approach, the prediction model, and the utility of the produced analytics in gauging the public wellbeing status in a specific context.

Steganography and Cryptography are two popular ways of sending vital and pivotal information in a secret way. But neither cryptography nor steganography alone can guarantee better security because they can be cracked after some efforts. So it is necessary to combine both cryptography and steganography to generate a hybrid system called as CryptoSteganography. Cryptography is the art of saving information by encrypting it into an immersed format. On the other hand, steganography is the art and science of secret communication to send messages in a way which hides even the existence of the communication. This paper aims to improve a new approach of hiding a secret message in an image, by taking advantages of combining cryptography and steganography. Which using the Huffman coding to compress the message and RC4 algorithm to encrypt the secret message then the cipher text embedded in the cover image using Parity checker algorithm using blue layer only. The results showed that the proposed method gives better results of higher PSNR lower MSE.

Today, internet made it easier to send the data more accurately and faster to the destination with the increasing unauthorized access of confidential data. So that, the issue nowadays reduces detection of information during transmission. To hide the secret information during transmission, there are two methods cryptography and steganography. Cryptography is a method of storing and transmitting data in a particular form so that only those for whom it is intended can read and process it. Steganography is a Greek origin word which means "hidden writing". In this paper, a new image steganography method is proposed. The proposed method hides the secret message inside the cover image by representing the secret message characters using Braille method of reading and writing for blind people. Which all pixels of the cover image can be used and message bit is stored in LSB of one of the three color components Blue (B) only; based on the parity of three LSBs of R, G, and B components of 24-bit color image. From the experimental results it's founded that the proposed method can hide a lot of data in single RGB image which a few pixels of image can be changed so that method can achieve higher value of (PSNR) and Maximum Hiding Capacity (MHC).