Abstract Many of systems and applications available on the internet require authentication from any person before accessing these systems. therefore, most of the systems based on password for authentication. The biometrics way of authentication came to exist, but it requires hardware and complex mechanisms. Each person has data needs to be fully secured. The password is vulnerable to hacking in the event... Many of systems and applications available on the internet require authentication from any person before accessing these systems. therefore, most of the systems based on password for authentication. The biometrics way of authentication came to exist, but it requires hardware and complex mechanisms. Each person has data needs to be fully secured. The password is vulnerable to hacking in the event that the hacker gets the data. This paper presents efficient user Authentication System based on Homomorphic Encryption (ASHE) because of Homomorphic Encryption (HE) performs operations upon encrypted data without decryption, therefore, proposed an algorithm based on HE to encrypt all users’ attributes. When the user logins into the system, the login password matches homomorphically with the database. If they are matched, the user is identified as a legitimate user else reject. This achieves better authentication and efficiency and preserves privacy of the user. If the user forgets their password, recovery phase is available. In this phase, the server sends a verification code to the user’s email. If it matches, then allows the user to reset the password and also implement Tow Factor Authentication (2FA). Read More Read Less

Abstract In this paper, the capability of classifying the main types of classical ciphers systems is presented using Artificial Neural Networks (ANNs) starting from the simplest form of information (natural text) and ending with more complex type of classical ciphers (periodic polyalphabetic system and polygraph system with four degrees of key order). The aim of this paper is to prove that all classical ciphers... In this paper, the capability of classifying the main types of classical ciphers systems is presented using Artificial Neural Networks (ANNs) starting from the simplest form of information (natural text) and ending with more complex type of classical ciphers (periodic polyalphabetic system and polygraph system with four degrees of key order). The aim of this paper is to prove that all classical ciphers can be classified or identified depending on the degree of complexity of the ciphertext. This can be done by using three levels of classification. The obtained results showed that the proposed classifier can successfully classify the classical cipher systems. This is a clear success for the proposed classifier opening further research directions and can produce informative insights on the problem of identifying and classification of ciphertext produced by modern ciphers, which is an important activity in automated cryptanalysis. Read More Read Less

Abstract In light of today’s rapid technological development, it often necessary to use internet services to plan daily life activities. For example, many people depend on these services to determine the dates of their travel and the best and shortest route to follow. In this study, an electronic information system is proposed that will provide information about the availability of parking spaces at the... In light of today’s rapid technological development, it often necessary to use internet services to plan daily life activities. For example, many people depend on these services to determine the dates of their travel and the best and shortest route to follow. In this study, an electronic information system is proposed that will provide information about the availability of parking spaces at the Prophet’s Mosque in Medina, as well as assistance in finding the shortest route to the open parking spaces. The system helps visitors either through a mobile application or—for users who do not use mobile applications— through information panels at the main gates and the entrance to each parking lot. Read More Read Less