TY - CHAP
T1 - Zero-Stop Authentication
T2 - Sensor-Based Real-Time Authentication System
AU - Matsumiya, Kenia
AU - Aoki, Soko
AU - Murase, Masana
AU - Tokuda, Hideyuki
PY - 2004
Y1 - 2004
N2 - This paper proposes "Zero-stop Authentication" system, which requires no intentional interactions between users and authentication applications. Our Zero-stop Authentication model simplifies the current complicated authentication process by automating detection of users and objects. Our challenge is to eliminate the necessity for users to wait for a moment to be authenticated without reducing security level of authentication. To accomplish such real time user authentication in a physical environment, user mobility needs to be modelled. This paper models and formulates the user mobility and time constraints as "1/N × 1/M model", considering user speed, sensor coverage areas, communication time between the sensors and the server, and processing time consumed by an authentication process. We also prototyped a library application based on 1/N × I/M model, and installed it into Smart Furniture [1] which is an experimental platform to examine feasibility of our model.
AB - This paper proposes "Zero-stop Authentication" system, which requires no intentional interactions between users and authentication applications. Our Zero-stop Authentication model simplifies the current complicated authentication process by automating detection of users and objects. Our challenge is to eliminate the necessity for users to wait for a moment to be authenticated without reducing security level of authentication. To accomplish such real time user authentication in a physical environment, user mobility needs to be modelled. This paper models and formulates the user mobility and time constraints as "1/N × 1/M model", considering user speed, sensor coverage areas, communication time between the sensors and the server, and processing time consumed by an authentication process. We also prototyped a library application based on 1/N × I/M model, and installed it into Smart Furniture [1] which is an experimental platform to examine feasibility of our model.
UR - http://www.scopus.com/inward/record.url?scp=35048839307&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-24686-2_18
DO - 10.1007/978-3-540-24686-2_18
M3 - Chapter
AN - SCOPUS:35048839307
SN - 9783540246862
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 296
EP - 311
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Chen, Jing
A2 - Hong, Seongsoo
PB - Springer Verlag
ER -