The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform

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

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

  • Web Content Filter based on natural language processing
    Application Research of Computers, 2001
    Co-Authors: Chen Yanggui
    Abstract:

    The Web Content Filter architecture discussed in this paper improved the precision and cover ration in Filtering process by means of Chinese and English Natural language Processing(NIP)techniques.The new algorithm with sematic character was thoroughly investigated and small-scale experiment was made to test its performance.

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

  • Multi-level Web Content Filter model based on MapReduce
    2013 International Conference on Information and Network Security (ICINS 2013), 2013
    Co-Authors: Xing Lin, Dongmei Zhang
    Abstract:

    In order to solve the problem that the traditional Web Filtering systems cannot Filter the sensitive Web pages effectively in real time, a multi-level Web Content Filtering model based on MapReduce is proposed. Three kinds of Filtering strategies are employed in this model, which are blocking of IP address and URL, keyword Filtering and intelligent Filtering. In intelligent Filtering mechanism, the improved Knn algorithm based on maximum category space is adopted to classify the Web pages intelligently and Filter out the sensitive ones. To reduce the Filtering time, we propose a parallelization framework based on the distributed computing MapReduce. The framework will carry out the large calculation of feature vector and Euclidean distance in parallel, which improves the Filter efficiency a lot. Experimental result shows that the distributed Filtering model can Filter the sensitive Web pages effectively in real time, and higher rate of Web Filtering performance with high accuracy can by achieved by the increasing of the distributed nodes.

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

  • Multi-level Web Content Filter model based on MapReduce
    2013 International Conference on Information and Network Security (ICINS 2013), 2013
    Co-Authors: Xing Lin, Dongmei Zhang
    Abstract:

    In order to solve the problem that the traditional Web Filtering systems cannot Filter the sensitive Web pages effectively in real time, a multi-level Web Content Filtering model based on MapReduce is proposed. Three kinds of Filtering strategies are employed in this model, which are blocking of IP address and URL, keyword Filtering and intelligent Filtering. In intelligent Filtering mechanism, the improved Knn algorithm based on maximum category space is adopted to classify the Web pages intelligently and Filter out the sensitive ones. To reduce the Filtering time, we propose a parallelization framework based on the distributed computing MapReduce. The framework will carry out the large calculation of feature vector and Euclidean distance in parallel, which improves the Filter efficiency a lot. Experimental result shows that the distributed Filtering model can Filter the sensitive Web pages effectively in real time, and higher rate of Web Filtering performance with high accuracy can by achieved by the increasing of the distributed nodes.

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

  • Key factors in building a Secure Web Gateway
    'University of Waikato', 2017
    Co-Authors: Yeh Jeffrey
    Abstract:

    A Secure Web Gateway, according to Gartner’s definition, is a solution that provides URL Filtering, malicious code detection and blocking, and application controls for cloud applications to Filter out objectionable software/malware in outbound Internet traffic generated by end-user devices and has the capability to enforce corporate policy and regulatory compliance [1]. Its predecessor – Web proxy - has been around since the beginning of the Web and evolved to meet the needs of a fast changing Web ecosystem. Traditionally, Web proxy servers have been used to fulfil the following requirements: 1) Enable several machines to share a single Internet connection; 2) Improve Web performance and save bandwidth by caching repeatedly-accessed Content locally; 3) Provide a basic URL Filtering capability. However, these capabilities are no longer sufficient to meet the requirements of today’s Web ecosystem. Firstly, with the development of Network Address Translation in the late 1990s, the needs to use proxy servers to share an Internet connection has been superseded. Secondly, caching does not improve performance much for mobile clients, and mobile traffic volume has already exceeded that of desktop’s [2, 3]. Thirdly, a Web Content Filter based on using a URL database cannot keep up with the growth of Internet traffic [4]. In addition, it has become difficult to detect and stop threats such as Botnet and Advanced Persistent Threat [5] because of: 1) The polymorphic characteristics of the threats; 2) The increasing use of encryption on the Web; 3) The increase in threats targeting end-users - the weakest link; 4) The increasing need to use a variety of end-user devices from multiple locations such as the BRING YOUR OWN DEVICE (BYOD) policy requirement. Hence, there is an imminent need to evolve from the current Web proxy solution to a Secure Web Gateway solution. This research provides a categorisation of the key factors in building a Secure Web Gateway, proposes a reference design and architecture, a practical implementation for a home vDSL connection and finally, a testing framework that can be used to evaluate the effectiveness of a Secure Web Gateway deployment