Computer
Asmaa Ibrahim Hussieen; Abeer Tariq MaoLood; Ekhlas Khalaf Gbash
Abstract
Conventional voting activities are often replaced by electronic voting (EV) in light of the quick expansion of the Internet. For a variety of reasons, various nations have lately switched to EV rather than conventional voting. Different EV systems were presented up to this point. In both practical and ...
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Conventional voting activities are often replaced by electronic voting (EV) in light of the quick expansion of the Internet. For a variety of reasons, various nations have lately switched to EV rather than conventional voting. Different EV systems were presented up to this point. In both practical and theoretical fields, on the other hand, there is no perfect solution. To meet such objectives, the researchers strive for preserving cryptographic primitives when developing high-efficiency e-voting schemes. The concept of fog computing was developed to improve network infrastructure to satisfy the demands of large amounts of data the same time as also increasing the efficiency of the processing power. Also, it has been created as well to address concerns with Cloud computing, like the distribution environment complexity, real-time response, mobility, and IoT application location awareness. The concentration of this study was on a complete review regarding the systems of EVs through various scholars as a platform to detect flaws or problems in the deployment of extremely secure EV systems. In addition, nations having a history of EV system adoption were examined. A concept for future work on establishing a safe EV system depends on problems discovered in numerous works.
Mutaz Haqi Ismael; Abeer MaoLood
Abstract
The automation of medical systems is one of the most important topics and that takes the highest priority in our time due to the COVID-19 pandemic, which has caused human disasters without knowing the exact diagnosis of patients and other diseases. Therefore, it has been recently started to rely on sensors ...
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The automation of medical systems is one of the most important topics and that takes the highest priority in our time due to the COVID-19 pandemic, which has caused human disasters without knowing the exact diagnosis of patients and other diseases. Therefore, it has been recently started to rely on sensors to support medical results and monitor the patient throughout the day, and this in itself is an application of Internet of Things (IoT) which is called Internet of Medical Things (IoMT). The expansion and reliability of this type of systems need to secure the systems, infrastructure, devices and used sensors. This paper focuses on the proposal key to encrypt the data stored in the database by relying on artificial intelligence algorithms and Bezier curves based on the dynamic number generated in the medical platform as an input to it. The Particle Swarm Optimization (PSO) algorithm was chosen because it is fast to implement and to support limited devices within the used network. Also, the logistic map function was used to generate the randomness of the generated key. The proposed key has also been examined and it has passed the five randomness tests and succeeded in 13 out of 16 tests within the NIST tests.
