Privacy-Preserving Outlier Detection in Healthcare Services

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Privacy-Preserving Outlier Detection for Data Streams

In cyber-physical systems sensors data should be anonymized at the source. Local data perturbation with differential privacy guarantees can be used, but the resulting utility is often (too) low. In this paper we contribute an algorithm that combines local, differentially private data perturbation of sensor streams with highly accurate outlier detection. We evaluate our algorithm on synthetic da...

متن کامل

Privacy-Preserving Reachability Query Services

Due to the massive volume of graph data from a wide range of recent applications and resources required to process numerous queries at large scale, it is becoming economically appealing to outsource graph data to a third-party service provider (SP), to provide query services. However, SP cannot always be trusted. Hence, data owners and query clients may prefer not to expose their data graphs an...

متن کامل

Privacy-Preserving Proximity Based Services

Recently, with the dramatic popular of geo-social networks and location based services (LBS), more and more mobile users are willing to enjoy the proximity services, which is a friend-alarm when the buddies happen to be in proximity. However, the services provider (SP) and some compromised buddies could try to steal the user’s exact location information. Hence, location privacy preserving is st...

متن کامل

Privacy Preserving Location Based Services

Location-based services require users to continuously report their location to a potentially untrusted server to obtain services based on their location, which can expose them to privacy risks. The system only requires a semi-trusted third party, responsible for carrying out simple matching operations correctly. This semi-trusted third party does not have any information about a user’s location...

متن کامل

Privacy Preserving Landmark Detection

In many cases several entities, such as commercial companies, need to work together towards the achievement of joint goals, while hiding certain private information. Multi-agent STRIPS (MASTRIPS) is a new and attractive model for describing collaborative multi-agent privacy preserving planning, which is appropriate for such problems. In single agent classical planning, landmarks are key to cons...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of the Korea Institute of Information Security and Cryptology

سال: 2015

ISSN: 1598-3986

DOI: 10.13089/jkiisc.2015.25.5.1187