![]() For spatial domain-based data-hiding schemes, reference matrices (RM), as a means of modifying pixels, can achieve low distortion and high embedding capacity. Most developers are devoted to devise data-hiding schemes in the spatial domain due to its explicitness and convenience for implementations. Most data-hiding schemes are performed in the following three domains: frequency domain, compression domain and spatial domain. Indeed, this type of methods has attracted an increasing amount of research attention. Steganographic methods can effectively prevent the interception of the secret data because they conceal the very fact that secret data exists. After the recipient obtains the stego images, the secret data can be decoded through the corresponding algorithm. By contrast, the second type of methods hides secret data into cover images by steganographic algorithms and therefore conceals the existence of secret data. However, the use of encryption would easily attract the attention of malicious attackers, causing them to intercept the encrypted data and subsequently use computers of sufficient power to break the encryption. The first type of methods encrypts data by cryptographic algorithms such as RSA, DES, elliptic-curve signcryption and the blockchain-based solution. ![]() Today, there are two types of strategies for securing information against unauthorized access during transmission. As a consequence, information security has become a research hotspot. We live in the information age in which no such immense amounts of digital information have ever before been consistently transmitted over open communication channels. Experimental results show that our data-hiding scheme can not only obtain better image quality, but also achieve higher embedding capacity than other related schemes. In addition, this study also defines a range locator function which can significantly improve the embedding efficiency of multidimensional RM. The proposed RM possesses high complexity and can effectively improve the security of data hiding. In this study, we propose an efficient data-hiding scheme based on multidimensional mini-SuDoKu RM. One of the established research streams of data-hiding methods is based on reference matrices (RM). Data hiding is the practice of hiding secret data into cover images in order to conceal and prevent secret data from being intercepted by malicious attackers. In this research, we propose an efficient data-hiding scheme to deal with the security problems and power saving issues of multimedia communication among IoT devises. ![]() High-end security and low power consumption are major requirements in scaling up the IoT. The massive Internet of Things (IoT) connecting various types of intelligent sensors for goods tracking in logistics, environmental monitoring and smart grid management is a crucial future ICT.
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