Security algorithms like RSA are becoming increasingly important for communications to provide companies, organizations, and users around the world, secure applications who rely heavily on them in their daily work. Security algorithms use different acquaintances among companies which might belong to various countries or even cities. Such data should essentially be encrypted to make sure that there is security in transportation. Thus, the current research paper leads to the novel system of security for the safe transfer of data. This paper examines the general principles of encryption and focuses on the development of RSA and the complexity of the encryption key so that it becomes more secure in the applications used. In this project, we will work on the RSA algorithm by adding some complexity to the 3keys (3k). This addition will increase the security and complexity of the algorithm's speed while maintaining encryption and decryption time. The paper also presents an approach by means of public key encryption to enhance cryptographic security. Moreover, double security is provided by the algorithm of RSA. This novel RSA algorithm was investigated in MATLAB. Numerical results for the various parameters such as Mean Square Error (MSE), correlation and Bit Error Ratio (BER) were implemented for the encryption of the message. The experimental results demonstrated that the proposed algorithm for 3 keys has small error rate in the retrieval of the encoded text

In this paper, a suggested algorithm was proposed to increase the efficiency of the Elman neural algorithm in face recognition. The proposed algorithm was studied on the images of 20 students from the Department of Computer Science, Tikrit University. First step creates dataset of faces, second step convert color space to HSI and using saturation layer, image decomposition using curvelet transform, feature extraction using Principle component analysis, and final step face recognition using Elman neural network. after applying proposed algorithm, the rate of face recognition 94%.

Wireless Body Area Network (WBAN) refers to a group of small intelligent electronic devices placed on the human body to monitor its vital signals. It provides a continuous health monitoring of a patient without any constraint on his/her normal daily life activities through the health care applications. Due to the strong heterogeneous nature of the applications, data rates will vary strongly, ranging from simple data at a few Kbits/s to video stream of several Kbits/s. Data can also be sent in bursts, which means that it is sent at a higher data rate during the bursts. This study covers the main requirements of communication technologies that are used in WBAN comprise of two major parts. The first part, which presents the short-range classification, gives a specialized outline of a few standard wireless technologies that are short- ranged. These are introduced as contender for intra-BAN communications for communications inside a Body Area Network (BAN) and between the elements.

With the continuous development of wireless communication technology and vehicle industry VANET as of recent is one of the most research niches. VANET is a technology that makes use of motion vehicles as a node in a network for the creation of a mobile network. Although there is a close characteristic between VANET and MANET (Mobile Ad-Hoc Networks), VANET has special features that differentiate it from MANET. VANET offers a vehicle to vehicle and vehicle to infrastructure communication. VANET also make sure there is no break of routing path before the transmission end. VANET is a challenging domain that has created a platform for many applications to find their place. Enough time is still needed for the implementation of large-scale practical though this field has been under rigorous study for over two decades. The possibility of having vehicular connectivity has been triggered by the ever-increasing wireless connectivity and computational ability of recent vehicles. Many potential vehicular network applications have been proposed in different niches like information, safety, entertainment and traffic infrastructure management. These applications in these aforementioned applications require available wireless medium utilization of both new and existing wireless technologies. VANET comprises of two technologies known as WiMAX and Wi-Fi. The goal of this survey was to ascertain the best technology among the two technologies. In other to achieve this goal, a thorough investigation was carried out together with an evaluation on V2V2I VANET where Wi-Fi was used for amid vehicle (V2V) interaction and WiMAX used for vehicle to infrastructure (V2I) interaction. This survey begins with the VANET architecture, then discusses the characteristics and challenges of VANET, applications, before ending with a comparison of the two technologies that made of VANET, the experimental approach used, future perspectives, result and conclusion.

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As of late 2019, the COVID19 pandemic has been causing huge concern around the world. Such a pandemic posed serious threats to public safety, the well-being of healthcare workers, and the overall health of the population. If automation can be implemented in healthcare systems, patients could be better cared for and health industries could be less burdened. To combat such challenges, e-health requires apps and intelligent systems. Using WBAN sensors and networks, a doctor or medical professional can advise patients on the best course of action. Patients' fitness could be assessed using WBAN sensors without interfering with their daily activities. When designing a monitoring system, system performance reliability for competent healthcare is critical. Existing research has failed to create a large device capable of handling a large network or to improve WBAN topologies for fast transmitting and receiving patient data. As a result, in this research, we create a multisensor WBAN (MSWBAN) intelligent system for transmitting and receiving critical patient data. To gather information from all cluster nodes and send it to multisensor WBAN, a novel additive distance-threshold routing protocol (ADTRP) is proposed. In small networks where data are managed by the transmitting node and the best data route is determined, this protocol has less redundancy. An edge-cutting-based routing optimization (ES-EC-R ES-EC-RO) is used to find the best route. The Trouped blowfish MD5 (TB-MD5) algorithm is used to encrypt and decrypt data, and the encrypted data are stored in a cloud database for security. The performance metrics of our proposed model are compared to current techniques for the best results. End-to-end latency is 63 ms, packet delivery is 95%, security is 95.7%, and throughput is 9120 bps, according to the results. The purpose of this article is to encourage engineers and front-line workers to develop digital health systems for tracking and controlling virus outbreaks.

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