دانلود مقاله ISI انگلیسی شماره 82679
ترجمه فارسی عنوان مقاله

مدیریت کلید های گروهی معتبر ناشناس پویا بین دامنه با تطابق علائم برای سیستم اجتماعی الکترونیکی سلامت

عنوان انگلیسی
Cross-domain dynamic anonymous authenticated group key management with symptom-matching for e-health social system
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
82679 2018 63 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Future Generation Computer Systems, Volume 84, July 2018, Pages 160-176

ترجمه کلمات کلیدی
مدیریت کلید گروه معتبر، علائم تطبیق شبکه اجتماعی سلامت الکترونیکی، گروه دینامیک، ناشناس،
کلمات کلیدی انگلیسی
Authenticated group key management; Symptom-matching; e-health social network; Dynamic group; Anonymous;
پیش نمایش مقاله
پیش نمایش مقاله  مدیریت کلید های گروهی معتبر ناشناس پویا بین دامنه با تطابق علائم برای سیستم اجتماعی الکترونیکی سلامت

چکیده انگلیسی

Electronic health (e-health) social system provides an effective way for the patients to share their treatment experience, exchange medical information and build a supportive relationship. In this paper, we propose a novel symptom-matching based group key management scheme for the e-health social system supporting dynamic group membership change. The patients in this system are diagnosed and treated by different medical institutions. This proposed schemes allows a group of patients from different healthcare domains (cross-domain) to securely establish a group session key to protect the group disease discussion. The scheme supports patient anonymity and traceability since the identities of the patients are hidden in an anonym and their medical institution is able to recover the real identity. The group agreement protocol ensures that only the authenticated patient with the same symptom could derive the group session key. The privacy of patient’s symptom is also protected since the patient cannot know the other patients’ symptoms if they do not have the same symptom. The security of this scheme is proved and the performance is evaluated theoretically and experimentally. The simulation and comparison indicate that our scheme has good performance and suitable for the mobile e-health social system.