The Experts below are selected from a list of 19509 Experts worldwide ranked by ideXlab platform

Benjamin C. M. Fung - One of the best experts on this subject based on the ideXlab platform.

  • ICC - Preserving Privacy for Location-Based Services with Continuous Queries
    2009 IEEE International Conference on Communications, 2009
    Co-Authors: Yuke Wang, Lingyu Wang, Benjamin C. M. Fung
    Abstract:

    Location-based service (LBS) is gaining momentum as GPS-equipped mobile devices become increasingly affordable and popular. One of the potential obstacles faced by LBS is that users may raise concerns about their personal privacy when Location data are sent to a distrusted LBS provider. A well-known solution is to render the Location data less accurate through spatial or temporal cloaking. In this paper, we show that by combining Consecutive Location data including speed, heading direction, and cloaked Locations, an adversary can obtain more accurate estimation of the actual Location. We propose a solution to prevent such inferences by cloaking speed and direction. Since the cloaking is based on estimated future Locations, we devise methods for tolerating errors caused by the estimation process. We report simulation results on the tradeoff between the capability of tolerating errors and the degree of cloaking.

Yuke Wang - One of the best experts on this subject based on the ideXlab platform.

  • ICC - Preserving Privacy for Location-Based Services with Continuous Queries
    2009 IEEE International Conference on Communications, 2009
    Co-Authors: Yuke Wang, Lingyu Wang, Benjamin C. M. Fung
    Abstract:

    Location-based service (LBS) is gaining momentum as GPS-equipped mobile devices become increasingly affordable and popular. One of the potential obstacles faced by LBS is that users may raise concerns about their personal privacy when Location data are sent to a distrusted LBS provider. A well-known solution is to render the Location data less accurate through spatial or temporal cloaking. In this paper, we show that by combining Consecutive Location data including speed, heading direction, and cloaked Locations, an adversary can obtain more accurate estimation of the actual Location. We propose a solution to prevent such inferences by cloaking speed and direction. Since the cloaking is based on estimated future Locations, we devise methods for tolerating errors caused by the estimation process. We report simulation results on the tradeoff between the capability of tolerating errors and the degree of cloaking.

Lingyu Wang - One of the best experts on this subject based on the ideXlab platform.

  • ICC - Preserving Privacy for Location-Based Services with Continuous Queries
    2009 IEEE International Conference on Communications, 2009
    Co-Authors: Yuke Wang, Lingyu Wang, Benjamin C. M. Fung
    Abstract:

    Location-based service (LBS) is gaining momentum as GPS-equipped mobile devices become increasingly affordable and popular. One of the potential obstacles faced by LBS is that users may raise concerns about their personal privacy when Location data are sent to a distrusted LBS provider. A well-known solution is to render the Location data less accurate through spatial or temporal cloaking. In this paper, we show that by combining Consecutive Location data including speed, heading direction, and cloaked Locations, an adversary can obtain more accurate estimation of the actual Location. We propose a solution to prevent such inferences by cloaking speed and direction. Since the cloaking is based on estimated future Locations, we devise methods for tolerating errors caused by the estimation process. We report simulation results on the tradeoff between the capability of tolerating errors and the degree of cloaking.

Y. Lee - One of the best experts on this subject based on the ideXlab platform.

  • 3D Face Recognition using Statistical Multiple Features for the Local Depth Information
    2003
    Co-Authors: Y. Lee, Kunwoo Park, Jaechang Shim
    Abstract:

    Depth information is one of the most important factors for the recognition of a digital face image. Range images are very useful, when comparing one face with another, because of implicating depth information. As the processing for the whole face produces a lot of calculations and data, face images can be represented in terms of a vector of feature descriptors for a local area. In this paper, depth areas of a 3 dimensional (3D) face image were extracted by the contour line from some depth value. These were resampled and stored in Consecutive Location in feature vector using multiple feature method. A comparison between two faces was made based on their distance in the feature space, using Euclidian distance. This paper reduced the number of index data in the database and used fewer feature vectors than other methods. Proposed algorithm can be highly recognized for using local depth information and less feature vectors on the face.

  • 3D face recognition using multiple features for local depth information
    Proceedings EC-VIP-MC 2003. 4th EURASIP Conference focused on Video Image Processing and Multimedia Communications (IEEE Cat. No.03EX667), 1
    Co-Authors: Y. Lee
    Abstract:

    Depth information is one of the most important factors for the recognition of a digital face image. Range images are very useful, when comparing one face with other faces, because of implicating depth information. As the processing for the whole face produces a lot of calculations and data, face images can be represented in terms of a vector of feature descriptors for a local area. In this paper, depth areas of a 3 dimensional (3D) face image were extracted by the contour line from some depth value. These were resampled and stored in Consecutive Location in feature vector using multiple feature method. A comparison between two faces was made based on their distance in the feature space, using Euclidian distance. This paper reduced the amount of index data in the database and used fewer feature vectors than other methods. The proposed algorithm can be highly recognized for using local depth information and less feature vectors on the face.

Susumu Kunifuji - One of the best experts on this subject based on the ideXlab platform.

  • KES - Information Sharing System Based on Location in Consideration of Privacy for Knowledge Creation
    Lecture Notes in Computer Science, 2004
    Co-Authors: Toshiyuki Hirata, Susumu Kunifuji
    Abstract:

    In recent years, the advancement of information science has been promoting decentralization of our working surroundings and asynchronous work timings. We are able to communication with others at anytime and any-where and are free from the restrictions of time and place. However, the degree of complexity of communication has increased so that we are not able to communicate with others smoothly. As a result, knowledge creation is hampered because of the lack of communication. Therefore, we have researched the information sharing system based on Location information for understanding the situation of members. However, using Location information gives rise to two problems. One is the problem of privacy, and the other is the non-Consecutive Location information problem. We, therefore, constructed a system that is equipped with measures for overcoming these two problems. In this paper, we describe an experiment conducted on fifteen students of this school.