## 1 Introduction  
Internet of Everything (IoE) represents a fantastic vision in the future, where everything is interconnected to the Internet, thus facilitating decision-making and offering intelligent service. IoE application based on interdisciplinary technological innovation includes low power communications, big data analytics, sensor, and embedded techniques [1]. Over the years, increasing new technologies are emerged to provide new bricks to construct IoE. Firstly, the advancement in sensor and embedded techniques have made the Internet of Things (IoT) node being less energy consumption and more portable [2]. The IoT involves the interconnectivity of physical objects and data input and output, whereas the IoE is a comprehensive term that refers to the interconnectivity of various technologies, processes, and people. Next, the presence of Lower Power Wide Area Network (LPWAN) technology empowers the ubiquitous network connection of lower power IoT nodes [3]. Further, the availability of massive IoT data and the innovation in artificial intelligence have driven the intelligence of IoE. Thus, IoE is employed in wide-ranging applications like intelligent transportation systems, smart manufacturing, and smart agriculture. Figure 1 depicts the process of IoE. Many possible security risks are experienced in IoE, attributed to the vulnerability of transmission protocol and resource limitation of IoE node [4]. Especially, the existing IoE mainly adopts the lower-cost and simplified access protocols for reducing cost of the network whereas it makes the communication vulnerable to malicious attacks like forging and eavesdropping. On the contrary, the data emitted from end node is eavesdropped (or wiretapped) by malicious node; at the same time, and pseudo-base-station could easily forge the standard IoE transmission connections to attain IoE data [5]. Thus, an efficient and easy-deployed security method is needed for protecting IoE communication from malicious attacks. Typically, encryption is utilized for ensuring data privacy and confidentiality, at the expense of utility (for example, searching on ciphertext becomes challenging and costly). Generally, Current encryption solution assumes that the cloud server is honest-but-curious, that implements search operation according to the agreed protocol however it might be interested in potentially learning sensitive data [6]. But in a real-time scenario the cloud server is highly possible to be semi-trusted in the sense that it never accessed or might delete rarely information to conduct partial search operation, output a fraction of inaccurate search results, cut costs (for example, minimizing computation overhead and storage space), etc. [7]. Steganography represents the fabrication technique that is utilized as digital information to the cover media. It provides security to the hidden and sensitive data existing in the image that is undetectable by human vision [8]. Still, several studies in this field are needed for selecting appropriate tradeoffs among the performance evaluations like payload capacity, security, and imperceptibility. Now, secure information is transmitted through text  
Figure 1: Representation of IoE. messages, images, audio, and videos files. To transmit this message in a hidden method, there is necessity for steganography. In this approach, the embedded secret message in the file is transported to the user alternatively, whereby the message is unconcealed [9]. Even though there is much software accessible online for data security, there is another software that is in usage by hackers for decrypting the hidden information [10]. This article proposes an optimal multikey homomorphic encryption with steganography approach for multimedia security (OMKHES-MS) technique in the IoE environment. The OMKHES-MS model initially uses singular value decomposition (SVD) model. In addition, the optimal pixel points in the cover image are chosen by the use of coyote optimization algorithm (COA).