JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Privacy Protection Model for Location-Based Services |
| 영문제목(English Title) |
Privacy Protection Model for Location-Based Services |
| 저자(Author) |
Lihao Ni
Yanshen Liu
Yi Liu
|
| 원문수록처(Citation) |
VOL 16 NO. 01 PP. 0096 ~ 0112 (2020. 02) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Solving the disclosure problem of sensitive information with the k-nearest neighbor query, location dummy technique, or interfering data in location-based services (LBSs) is a new research topic. Although they reduced security threats, previous studies will be ineffective in the case of sparse users or K-successive privacy, and additional calculations will deteriorate the performance of LBS application systems. Therefore, a model is proposed herein, which is based on geohash-encoding technology instead of latitude and longitude, memcached server cluster, encryption and decryption, and authentication. Simulation results based on PHP and MySQL show that the model offers approximately 10× speedup over the conventional approach. Two problems are solved using the model: sensitive information in LBS application is not disclosed, and the relationship between an individual and a track is not leaked.
Solving the disclosure problem of sensitive information with the k-nearest neighbor query, location dummy technique, or interfering data in location-based services (LBSs) is a new research topic. Although they reduced security threats, previous studies will be ineffective in the case of sparse users or K-successive privacy, and additional calculations will deteriorate the performance of LBS application systems. Therefore, a model is proposed herein, which is based on geohash-encoding technology instead of latitude and longitude, memcached server cluster, encryption and decryption, and authentication. Simulation results based on PHP and MySQL show that the model offers approximately 10× speedup over the conventional approach. Two problems are solved using the model: sensitive information in LBS application is not disclosed, and the relationship between an individual and a track is not leaked.
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| 키워드(Keyword) |
Geohash-Encoding
Location-Based Services
Memcached Server Cluster
Point of Interest
Privacy Protection Model
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| 파일첨부 |
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