2019

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Browsing 2019 by Author "SOBIA MEHRBAN"

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    A framework to secure health monitoring applications on android platform
    (UMT, Lahore, 2019) SOBIA MEHRBAN
    Smartphones in combination with medical software have made documentations, record keeping, have access to information and inter-personnel communication which is faster and more effective in the field of mobile health. Healthcare monitoring applications(HMA) are the applications of software and its work at the level of hardware, as HMA are mostly used to sort out chronic diseases, monitor the elder and expectant mothers, and help the patients to schedule the medicine time, and provide effective and efficient service to the patients, doctors and caretakers. Whereas, many operating system are present in smartphones nowadays, however, Android is the most popular operating system and it handled all the sensitive data that are useful for the professional (doctor, physician, and consultant) over unsecured internet communication and hacker’s server. Due to this, treatment involves basic privacy issues regarding different data of patients, doctors and caregivers. As security in health monitoring apps is necessary to keep the patient’s records confidential, however, their data can be exchanged with wireless networks, and this is the main threat in health monitoring applications. Thus, the important goal is to provide proper security for the patient’s data from unauthorized people who actually misuse the health records. The major concern is to protect all the patient’s sensitive data from unauthorized third parties. In this thesis a secure real time framework has been presented which will help to secure the medical data related with Android health monitoring apps. Through this framework the medical data can be stored properly, protected from threats and improved records monitoring abilities. The proposed security framework has been designed consisting of two layers; one is, A Monitoring Layer (ML) which is used to enforce the modules of security-checks, and second is, an Interface Layer (IL) which provide interface between Monitoring Layer and Android Operating System. ML implements different polices at several levels of android platform through IL. The validation of framework is shown through the implementation of actual Android device, and this implementation shows the framework and evaluate its performance practically. Different experiments have been performed to check the efficiency and effectiveness of proposed framework, and the results of experiments have successfully protect the health monitoring applications against different attacks.