The Experts below are selected from a list of 3894 Experts worldwide ranked by ideXlab platform

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

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

  • natural language processing technologies for multi level intelligent spam mail filter
    International Journal of Machine Learning and Computing, 2014
    Co-Authors: Haiyan Kang, Xiaojiao Yuan
    Abstract:

    To overcome the lack of existing mail Filtering system, we designed a content-based Message Filtering system of multi-level intelligence. Using natural language processing technology, it denotes the E-mail content including attachments. First, it pre-processes the content of E-mail, including segmentation, feature extraction. Second, combining knowledge-base and expansion of the feature, it can form the vector. Corresponding categories vector in the database, two vectors similar degree of calculation determines the credibility of the Message. Based on the above theory, with the Java EE 6+SQL Server 2005 platform, a mail Filtering system is achieved. It can maximize the elimination of spam. The major features are following: 1) black /white list Filtering. It can intercept white list blacklist e-mail Messages released. 2) reverse DNS testing. it can effectively eliminate the anonymous e-mail attacks. 3) content-based Message Filtering. An accurate analysis of mail content can filter out suspicious Messages. 4) fingerprint recognition. It can mimic the biological concept of fingerprint identification to complete the identification of spam. 5) user-personalized Filtering. The user independently designed filter program. 6) intent detection. It can detect the content URL connection in email. Experiment shows mail filter system can play a very good effect on spam filters.

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

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

  • natural language processing technologies for multi level intelligent spam mail filter
    International Journal of Machine Learning and Computing, 2014
    Co-Authors: Haiyan Kang, Xiaojiao Yuan
    Abstract:

    To overcome the lack of existing mail Filtering system, we designed a content-based Message Filtering system of multi-level intelligence. Using natural language processing technology, it denotes the E-mail content including attachments. First, it pre-processes the content of E-mail, including segmentation, feature extraction. Second, combining knowledge-base and expansion of the feature, it can form the vector. Corresponding categories vector in the database, two vectors similar degree of calculation determines the credibility of the Message. Based on the above theory, with the Java EE 6+SQL Server 2005 platform, a mail Filtering system is achieved. It can maximize the elimination of spam. The major features are following: 1) black /white list Filtering. It can intercept white list blacklist e-mail Messages released. 2) reverse DNS testing. it can effectively eliminate the anonymous e-mail attacks. 3) content-based Message Filtering. An accurate analysis of mail content can filter out suspicious Messages. 4) fingerprint recognition. It can mimic the biological concept of fingerprint identification to complete the identification of spam. 5) user-personalized Filtering. The user independently designed filter program. 6) intent detection. It can detect the content URL connection in email. Experiment shows mail filter system can play a very good effect on spam filters.

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

  • ZeroSDN: A Highly Flexible and Modular Architecture for Full-Range Network Control Distribution
    2017 ACM IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), 2017
    Co-Authors: Thomas Kohler, Frank Durr, Kurt Rothermel
    Abstract:

    Recent years have seen an evolution of SDN control plane architectures, starting from simple monolithic controllers, over modular monolithic controllers, to distributed controllers. We observe, however, that today's distributed controllers still exhibit inflexibility with respect to the distribution of control logic. Therefore, we propose a novel architecture of a distributed SDN controller in this paper, providing maximum flexibility with respect to distribution. Our architecture splits control logic into light-weight control modules, called controllets, based on a micro-kernel approach, reducing common controllet functionality to a bare minimum and factoring out all higher-level functionality. Light-weight controllets also allow for pushing control logic onto switches and enable local processing of data plane events to minimize latency and communication overhead. Controllets are interconnected through a Message bus supporting the publish/subscribe communication paradigm with specific extensions for content-based OpenFlow Message Filtering. Publish/subscribe allows for complete decoupling of controllets to further facilitate control plane distribution. We evaluate both, the scalability and performance properties of our architecture, including its deployment on a White Box networking hardware switch.