الفهرس 
AbstractOnly 14 pages are availabe for public view
 |  | from | 106 |  |  |
| | | from | 106 | | |
Abstract
Elderly people move towards the Internet of Medical Smart Things (IOMST) to keep their lives in safety and predict the diseases before occurring. Using IOMST may cause problem because the patients’ data could be stolen or changed and therefore people’s life becomes in dangers. However, Cyber-attacks threat the IoMST immediately after it’s created. Different threats and attacks may cause serious disasters to people and the network because of the lack of essential security protection. Thus, the security and the management of IoMST become quite significant. A wireless data transfer system can be secured through authentication and data encryption. So, this dissertation presents two proposed methods to manage and secure the IOMST’s data. The first method presents a new data encryption technique, which is first encoding data with Run Length Encoding method, then encrypting it with AES with a rotated key before transmission over the network. The physician restores the secure data by using his username and password credentials and digital signature. The other method uses three techniques. The first is for encoding data with Fast Walsh Hadamard to change the shape of data and compressed it .the secend is for encryption of encoded data with AES with a rotated key. The last technique uses an authentication mechanism to protect data from output access and permit any person that has username and password credential to access patients data. The authentication mechanism is built at the website with a private IP. The proposed system is developed with low cost hardware to minimize the cost of the product with high efficiency. The two proposed systems are implemented using low-cost hardware and efficient software and proved to be secure in transmitting patient records. This thesis also presents an implementation of smart contract and blockchain to maintain the privacy of patient’s records. The results of the simulations show that the proposed systems give less time than the compared traditional methods.