The Experts below are selected from a list of 50553 Experts worldwide ranked by ideXlab platform

Minkyu Park - One of the best experts on this subject based on the ideXlab platform.

  • An effective and intelligent Windows Application Filtering system using software similarity
    Soft Computing, 2016
    Co-Authors: Minkyu Park, Young-sup Hwang
    Abstract:

    As licensed programs are pirated and illegally spread over the Internet, it is necessary to filter illegally distributed or cracked programs. The conventional software Filtering systems can prevent unauthorized dissemination of the programs maintained by their databases using an exact matching method where the feature of a suspicious program is the same as that of any program stored in the database. However, the conventional Filtering systems have some limitations to deal with cracked or new programs which are not maintained by their database. To address the limitations, we design and implement an efficient and intelligent software Filtering system based on software similarity. Our system measures the similarity of the characteristics extracted from an original program and a suspicious one (or, a cracked one) and then determines whether the suspicious program is a cracked version of the copyrighted original program based on the similarity measure. In addition, the proposed system can handle a new program by categorizing it using a machine learning scheme. This scheme helps an unknown program to be identified by narrowing the search space. To demonstrate the effectiveness of the proposed system, we perform a series of experiments on a number of executable programs under Microsoft Windows. The experimental results show that our system has achieved comparable performance.

  • RACS - A robust and efficient birthmark-based android Application Filtering system
    Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems - RACS '14, 2014
    Co-Authors: Seongwook Kang, Hyungjoon Shim, Minkyu Park
    Abstract:

    Since it is very easy to decompile and repackage Android Applications (or apps), many paid apps in the official Android Market are exposed to software piracy such as illegal copy, license cracking, and illegal distribution. To address this problem, we can employ app Filtering systems that can prevent OSP servers from distributing illegally copied or tampered apps. In this paper, we propose a birthmark-based Android app Filtering system. The system extracts birthmarks from APK files, and compares the birthmarks to examine if a given APK file is actually identical to one of (paid) original apps, that is, the APK file is a duplicated or tampered one. The experimental results show that the system is efficient and robust in the sense that the birthmark size is very small and the tampered apps can be identified effectively.

Young-sup Hwang - One of the best experts on this subject based on the ideXlab platform.

  • An effective and intelligent Windows Application Filtering system using software similarity
    Soft Computing, 2016
    Co-Authors: Minkyu Park, Young-sup Hwang
    Abstract:

    As licensed programs are pirated and illegally spread over the Internet, it is necessary to filter illegally distributed or cracked programs. The conventional software Filtering systems can prevent unauthorized dissemination of the programs maintained by their databases using an exact matching method where the feature of a suspicious program is the same as that of any program stored in the database. However, the conventional Filtering systems have some limitations to deal with cracked or new programs which are not maintained by their database. To address the limitations, we design and implement an efficient and intelligent software Filtering system based on software similarity. Our system measures the similarity of the characteristics extracted from an original program and a suspicious one (or, a cracked one) and then determines whether the suspicious program is a cracked version of the copyrighted original program based on the similarity measure. In addition, the proposed system can handle a new program by categorizing it using a machine learning scheme. This scheme helps an unknown program to be identified by narrowing the search space. To demonstrate the effectiveness of the proposed system, we perform a series of experiments on a number of executable programs under Microsoft Windows. The experimental results show that our system has achieved comparable performance.

Hwangyoung-sup - One of the best experts on this subject based on the ideXlab platform.

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

Shigeki Takeuchi - One of the best experts on this subject based on the ideXlab platform.

  • Experimental realization of an optical entanglement filter
    CLEO Europe - EQEC 2009 - European Conference on Lasers and Electro-Optics and the European Quantum Electronics Conference, 2009
    Co-Authors: Ryo Okamoto, Holger F. Hofmann, Jeremy L. O'brien, Keiji Sasaki, Tomohisa Nagata, Shigeki Takeuchi
    Abstract:

    The ability to filter quantum states is a key capability in quantum information science and technology, where one-qubit filters, or polarizers, have found wide Application. Filtering on the basis of entanglement requires extension to multi-qubit filters with qubit-qubit interactions. Such devices have many important Applications to quantum technologies.

  • An entanglement filter
    Science, 2009
    Co-Authors: Ryo Okamoto, Holger F. Hofmann, Jeremy L. O'brien, Keiji Sasaki, Tomohisa Nagata, Shigeki Takeuchi
    Abstract:

    The ability to filter quantum states is a key capability in quantum information science and technology, in which one-qubit filters, or polarizers, have found wide Application. Filtering on the basis of entanglement requires extension to multi-qubit filters with qubit-qubit interactions. We demonstrated an optical entanglement filter that passes a pair of photons if they have the desired correlations of their polarization. Such devices have many important Applications to quantum technologies.