Security based semantic context awareness system for M2M ubiquitous healthcare service

Yunjeong Choi; Inshil Doh; Seung Soo Park; Ki Joon Chae

doi:10.1007/978-94-007-5857-5_20

Security based semantic context awareness system for M2M ubiquitous healthcare service

Yunjeong Choi, Inshil Doh, Seung Soo Park, Ki Joon Chae

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

The data and information from heterogeneous embedded devices lead to security and communication problems in M2M environment. Even under the situation where the low-level information causes interoperability problems, these devices should be able to communicate with each other in safe, efficient and right manner without the help of server or human intervention. In this paper, we propose a security based context aware U-healthcare system based on user authentication and data aggregation. Our system can support medical decision-making and inferences using Knowledge Machine (KM), which is a mature knowledge representation language. We design and implement frame-based ontology and rules for semantic reasoning using LISP+KM combination. We especially describe the context query, and then show the progress made towards proper and reasonable inference and prediction. In experiments, we showed the feasibility of our proposed system by adding intentional abnormal/informal situation data.

Original language	English
Title of host publication	Ubiquitous Information Technologies and Applications, CUTE 2012
Pages	187-196
Number of pages	10
DOIs	https://doi.org/10.1007/978-94-007-5857-5_20
State	Published - 2013
Event	7th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2012 - Hong Kong, China Duration: 20 Dec 2012 → 22 Dec 2012

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	214 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	7th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2012
Country/Territory	China
City	Hong Kong
Period	20/12/12 → 22/12/12

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (201201945).

Keywords

Authentication
Context reasoning and inference
Knowledge representation
M2M communication
Security
U-healthcare system

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10.1007/978-94-007-5857-5_20

Cite this

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title = "Security based semantic context awareness system for M2M ubiquitous healthcare service",

abstract = "The data and information from heterogeneous embedded devices lead to security and communication problems in M2M environment. Even under the situation where the low-level information causes interoperability problems, these devices should be able to communicate with each other in safe, efficient and right manner without the help of server or human intervention. In this paper, we propose a security based context aware U-healthcare system based on user authentication and data aggregation. Our system can support medical decision-making and inferences using Knowledge Machine (KM), which is a mature knowledge representation language. We design and implement frame-based ontology and rules for semantic reasoning using LISP+KM combination. We especially describe the context query, and then show the progress made towards proper and reasonable inference and prediction. In experiments, we showed the feasibility of our proposed system by adding intentional abnormal/informal situation data.",

keywords = "Authentication, Context reasoning and inference, Knowledge representation, M2M communication, Security, U-healthcare system",

author = "Yunjeong Choi and Inshil Doh and Park, {Seung Soo} and Chae, {Ki Joon}",

note = "Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (201201945).; 7th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2012 ; Conference date: 20-12-2012 Through 22-12-2012",

year = "2013",

doi = "10.1007/978-94-007-5857-5_20",

language = "English",

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series = "Lecture Notes in Electrical Engineering",

pages = "187--196",

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Choi, Y, Doh, I, Park, SS & Chae, KJ 2013, Security based semantic context awareness system for M2M ubiquitous healthcare service. in Ubiquitous Information Technologies and Applications, CUTE 2012. Lecture Notes in Electrical Engineering, vol. 214 LNEE, pp. 187-196, 7th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2012, Hong Kong, China, 20/12/12. https://doi.org/10.1007/978-94-007-5857-5_20

Security based semantic context awareness system for M2M ubiquitous healthcare service. / Choi, Yunjeong; Doh, Inshil; Park, Seung Soo et al.
Ubiquitous Information Technologies and Applications, CUTE 2012. 2013. p. 187-196 (Lecture Notes in Electrical Engineering; Vol. 214 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Doh, Inshil

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AU - Chae, Ki Joon

N1 - Funding Information: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (201201945).

PY - 2013

Y1 - 2013

N2 - The data and information from heterogeneous embedded devices lead to security and communication problems in M2M environment. Even under the situation where the low-level information causes interoperability problems, these devices should be able to communicate with each other in safe, efficient and right manner without the help of server or human intervention. In this paper, we propose a security based context aware U-healthcare system based on user authentication and data aggregation. Our system can support medical decision-making and inferences using Knowledge Machine (KM), which is a mature knowledge representation language. We design and implement frame-based ontology and rules for semantic reasoning using LISP+KM combination. We especially describe the context query, and then show the progress made towards proper and reasonable inference and prediction. In experiments, we showed the feasibility of our proposed system by adding intentional abnormal/informal situation data.

AB - The data and information from heterogeneous embedded devices lead to security and communication problems in M2M environment. Even under the situation where the low-level information causes interoperability problems, these devices should be able to communicate with each other in safe, efficient and right manner without the help of server or human intervention. In this paper, we propose a security based context aware U-healthcare system based on user authentication and data aggregation. Our system can support medical decision-making and inferences using Knowledge Machine (KM), which is a mature knowledge representation language. We design and implement frame-based ontology and rules for semantic reasoning using LISP+KM combination. We especially describe the context query, and then show the progress made towards proper and reasonable inference and prediction. In experiments, we showed the feasibility of our proposed system by adding intentional abnormal/informal situation data.

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KW - Context reasoning and inference

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ER -

Security based semantic context awareness system for M2M ubiquitous healthcare service

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Keywords

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