0% Complete
English
صفحه اصلی
/
چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Towards Provable Privacy Protection in IoT-Health Applications
نویسندگان :
Samane Sobuti
1
دکتر سیاوش خرسندی
2
1- دانشگاه آزاد اسلامی واحد کرمان
2- دانشگاه صنعتی امیرکبیر
کلمات کلیدی :
IoT،mHealth،privacy،access control
چکیده :
Healthcare is one of major application areas in IoT. Medical wearable devices and patient-area cyber physical systems has a great potential to increase healthcare quality, expand access to services, reduce costs, and improve personal wellness and public health. However, iHealth also raises significant privacy and security challenges. Especially, in dealing with sensitive personal information, privacy issues in IoT-health applications are not adequately addressed. Despite extensive studies in protecting patient privacy in iHealth, the solutions are by large opportunistic, that is, protection mechanisms are proposed to be applied wherever possible without proving or analyzing their sufficiency. In this paper, we provide an end-to-end analysis of a patient’s data flow and develop a framework with sufficient set of protection mechanisms to guarantee end-to-end threat mitigation. The proposed framework encompasses the three aspects of privacy in iHealth, namely, access control, trust management and data protection.
لیست مقالات
لیست مقالات بایگانی شده
A parallel approach to the fractional time delay model for predicting the spread of COVID-19
Mahdi Movahedian Moghaddam - Kourosh Parand
خوشه بندی مقید داده ها به کمک اتوماتای یادگیر سلولی
شکوفه علی محمدی - احمدعلی آبین
An Improved Image Classification Based In Feature Extraction From Convolutional Neural Network: Application To Flower Classification
Faeze Sadati - Dr Behrooz Rezaie
PersianRAG A Retrieval Augmented Generation System for Persian Language
Hossein Hosseini - Mohammad Sobhan Zare - Amir Hossein Mohammadi - Arefeh Kazemi - Zahra Zojaji - Mohammad Ali Nematbakhsh
Designing an AI-assisted toolbox for fitness activity recognition based on deep CNN
Ali Bidaran - Dr Saeed Sharifian
A New Method Based on Deep Learning and Time Stabilization of the Propagation Path for Fake News Detection
Fatemeh Torgheh - Dr Mohammad Reza Keyvanpour - Dr Behrooz Masoumi
طبقهبندی ترافیک رمز مبتنی بر یادگیری ماشین
افسانه معدنی - شقایق نادری - حسین قرایی
Short-Term Traffic Flow Prediction Based on a Recurrent Deep Neural Networks: Study in Tehran
Dr Monireh عبدوس - Taha Vajed Samei
Multi-label Classification of Steel Surface Defects Using Transfer Learning and Vision Transformer
Amirhossein Komijani - Farzaneh Vafaeinezhad - Javad Khoramdel - Yasamin Borhani - Esmaeil Najafi
Mamba-SAM: A Hybrid Architecture for Efficient Cardiac MRI Medical Image Segmentation
Mohammadreza Gholipour Shahraki - Mehdi Rezaeian - Mohammad Ghasemzadeh
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0