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%.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.